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Your search keyword '"Zhan, Yang"' showing total 148 results
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148 results on '"Zhan, Yang"'

2. A battery-free anti-inflammatory brain remote for spatiotemporal guiding movement of mice

Author

Liang, Shan, primary, Li, Dongming, additional, Lin, Rui, additional, Yang, Zhixin, additional, Yang, Guangyou, additional, Zhong, Tianyan, additional, Tang, Yong, additional, Zhang, Mingwang, additional, Wang, Zhen, additional, Bao, Han, additional, Zou, Pingjin, additional, Chen, Meihua, additional, Tang, Bin, additional, Xing, Lili, additional, Xue, Xinyu, additional, Zhan, Yang, additional, and Xie, Yan, additional

Published
2024
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10. Kinesiophobia in patients with angina pectoris of coronary artery disease: A cross-sectional survey

Author

Yao Shen, Tingting Yan, Qian Peng, Baofeng Zhang, Ke Zhao, and Zhan Yang

Subjects
Pulmonary and Respiratory Medicine, Cross-Sectional Studies, Humans, Pain, Coronary Artery Disease, Fear, Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Angina Pectoris
Abstract

In the field of chronic pain research, kinesiophobia is defined as avoidance behavior due to fear of pain, but this perspective seems to be neglected in the field of coronary artery disease (CAD).To investigate the status quo of angina pectoris (AP) and kinesiophobia and factors associated with kinesiophobia in patients with AP of CAD.This was a cross-sectional study. Participants were recruited by convenience sampling, and patients with AP of CAD in four wards of the Cardiology Department of a hospital were enrolled in this study. Participants completed questionnaires and scales face-to-face with researchers.Most patients with AP of CAD suffered from at least moderate pain episodes (60.2%) of at least 5 minutes per episode (53.8%), but less than 1/3 of patients reached 5 instances of pain per week (29.1%). The total score of kinesiophobia in patients was 40.80±6.65, and the vast majority of patients had moderate to high levels of kinesiophobia (75.7%). The results of multiple linear stepwise regression analysis showed that personal monthly income, New York Heart Function Assessment (NYHA) classification, pain intensity, and pain resilience were independent factors associated with kinesiophobia, and these factors explained 30.2% of the variation in total scores of kinesiophobia.The symptoms of AP were prominent in terms of pain intensity and duration of pain. The level of kinesiophobia was moderate, and this was affected by multiple factors. Health care providers and researchers seldom pay attention to the kinesiophobia of patients with AP of CAD. This study refocused on the effect of "fear of pain" in kinesiophobia in patients with CAD. It opens up new horizons for the application of fear-avoidance models in CAD patients and helps to raise awareness of kinesiophobia in AP patients with CAD and provides guidance for reducing the level of kinesiophobia in the future.

Published
2023

11. Occurrence of macroplastics and microplastics in biogenic waste digestate: Effects of depackaging at source and dewatering process

Author

Zhan, Yang, Fan, Lü, Tian, Hu, Xiangyu, Xu, Hua, Zhang, Liming, Shao, Jianfeng, Ye, and Pinjing, He

Subjects
Waste Management and Disposal
Abstract

Plastic debris, including macroplastics (5 mm) and microplastics (0.1-5 mm), has proven to be an emerging contaminant. Anaerobic digestion, coupled with energy recovery, can be an effective valorization technology for biogenic waste. But the use of the resulting digestate as a soil conditioner is a source for plastic debris release into the environment. The preprocess and postprocess used could influence the quantity of plastic debris found in the digestate, but the specifics of these effects are relatively unknown. Therefore, we measured the quantity of plastic debris in raw digestate under a variety of preprocessing scenarios. We also investigated the occurrence of plastic debris in solid and liquid digestates resulting from the dewatering of raw digestate. The quantity of plastic debris ranged from 41 to 3298 particles/kg (WW) for raw digestate, 319-3604 particles/kg (WW) for solid digestate and 7-38 particles/kg (WW) for liquid digestate. We observed that depackaging at source by citizens themselves (removing the package of biogenic waste when dropping it into bins), significantly reduced the quantities of plastic debris in raw digestate by an order of magnitude. Furthermore, the number of polymer types in raw digestate, where depackaging occurred at source, were lower than that where this rule was not in place. The average size of plastic debris in solid digestate was significantly smaller than that in raw digestate, which indicated that the process of mechanical dewatering could generate MPs. It is recommended to depackage for biogenic waste at source to reduce the quantities of MPs in digestate.

Published
2022

13. miR-155 down-regulation protects the heart from hypoxic damage by activating fructose metabolism in cardiac fibroblasts

Author

Zhan Yang, Min Li, Qing Miao, Tian-ying Zhai, Xin-hua Zhang, Bin Zheng, Yu Zhang, Hong Zhang, and Jin-kun Wen

Subjects
Myocardial Infarction, Down-Regulation, Fructose, Western blot, RNA Precursors, medicine, Humans, Glycolysis, Hypoxia, Fatigue Syndrome, Chronic, Multidisciplinary, biology, medicine.diagnostic_test, Chemistry, Microarray analysis techniques, Myocardium, Glucose transporter, Fibroblasts, Hypoxia (medical), Cell biology, Reverse transcription polymerase chain reaction, MicroRNAs, Fructolysis, biology.protein, medicine.symptom, GLUT5
Abstract

Introduction Hypoxia-inducible factor (HIF)1α has been shown to be activated and induces a glycolytic shift under hypoxic condition, however, little attention was paid to the role of HIF1α-actuated fructolysis in hypoxia-induced heart injury. Objectives In this study, we aim to explore the molecular mechanisms of miR-155-mediated fructose metabolism in hypoxic cardiac fibroblasts (CFs). Methods Immunostaining, western blot and quantitative real-time reverse transcription PCR (qRT-PCR) were performed to detect the expression of glucose transporter 5 (GLUT5), ketohexokinase (KHK)-A and KHK-C in miR-155−/− and miR-155wt CFs under normoxia or hypoxia. A microarray analysis of circRNAs was performed to identify circHIF1α. Then CoIP, RIP and mass spectrometry analysis were performed and identified SKIV2L2 (MTR4) and transformer 2 alpha (TRA2A), a member of the transformer 2 homolog family. pAd-SKIV2L2 was administrated after coronary artery ligation to investigate whether SKIV2L2 can provide a protective effect on the infarcted heart. Results When both miR-155−/− and miR-155wt CFs were exposed to hypoxia for 24 h, these two cells exhibited an increased glycolysis and decreased glycogen synthesis, and the expression of KHK-A and KHK-C, the central fructose-metabolizing enzyme, was upregulated. Mechanistically, miR-155 deletion in CFs enhanced SKIV2L2 expression and its interaction with TRA2A, which suppresses the alternative splicing of HIF1α pre-mRNA to form circHIF1α, and then decreased circHIF1α contributed to the activation of fructose metabolism through increasing the production of the KHK-C isoform. Finally, exogenous delivery of SKIV2L2 reduced myocardial damage in the infarcted heart. Conclusion In this study, we demonstrated that miR-155 deletion facilitates the activation of fructose metabolism in hypoxic CFs through regulating alternative splicing of HIF1α pre-mRNA and thus circHIF1ɑ formation.

Published
2022

17. Cellphone remote intelligent neuroregulation with self-powered piezoelectric wireless brain probe

Author

Guan, Hongye, primary, Tang, Yong, additional, Long, Zhihe, additional, Lin, Rui, additional, Liang, Shan, additional, Zhu, Fuqiang, additional, Zhong, Tianyan, additional, Zhang, Yaming, additional, Fan, Yaowei, additional, Wang, Zhen, additional, Shi, Chuang, additional, Ma, Wanli, additional, Sun, Sheng, additional, Chen, Meihua, additional, Xing, Lili, additional, Zhang, Yan, additional, Xue, Xinyu, additional, and Zhan, Yang, additional

Published
2023
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21. Label embedding semantic-guided hashing

Author

Jun Long, Longzhi Sun, Lin Guo, Liujie Hua, and Zhan Yang

Subjects
Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications
Published
2022

27. Scalable deep asymmetric hashing via unequal-dimensional embeddings for image similarity search

Author

Lei Zhu, Wenti Huang, Jun Long, Zhifang Liao, Zhan Yang, and Osolo Ian Raymond

Subjects
0209 industrial biotechnology, Theoretical computer science, Computer science, Cognitive Neuroscience, Nearest neighbor search, Hash function, 02 engineering and technology, Computer Science Applications, Image (mathematics), Reduction (complexity), 020901 industrial engineering & automation, Artificial Intelligence, Scalability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Binary code, Image retrieval
Abstract

In recent years, Hashing has become a popular technique used to support large-scale image retrieval, due to its significantly reduced storage, high search speed and capability of mapping high dimensional original features into compact similarity-preserving binary codes. Although effectiveness achieved, most existing hashing methods are still some limitations, including: (1) Many supervised hashing methods only transform the label information into pairwise similarities to guide the hash code learning process, which will lead to the loss of rich semantic information between image pairs. (2) Some pioneer hashing methods use a relaxation-based strategy to solve discrete problems, resulting in a large quantization error. (3) Some supervised hashing methods handle the hashing learning procedure based on an asymmetric learning manner, and although this partially solves the problems of low efficiency and accuracy of symmetric learning strategy, they are all based on the embeddings of equal dimension, which leads to the reduction in the models representation ability and an increase in potential noise. To overcome the above limitations, in this paper, we propose a novel yet simple but effective hashing method, named Scalable Deep Asymmetric Hashing (SDAH). Specifically, SDAH is an end-to-end deep hashing method based on a fast iterative optimization strategy, which utilizes two real-valued embeddings of unequal dimensions, i.e., real-valued embeddings of images and labels, to flexibly perform asymmetric similarity computation. It can circumvent the use of the large pairwise similarity matrix by introducing an intermediate label matrix term which results in a remarkable reduction in the memory space cost. By doing this, the learned hash codes are more semantically informative for image retrieval tasks. Experimental results on several benchmark datasets highlight the superiority of SDAH in comparison with many state-of-the-art hashing methods.

Published
2020

33. Cellphone Remote Intelligent Neuroregulation with Self-Powered Wireless Brain Probe

Author

Guan, Hongye, primary, Tang, Yong, additional, Long, Zhihe, additional, Lin, Rui, additional, Liang, Shan, additional, Zhu, Fuqiang, additional, Zhong, Tianyan, additional, Zhang, Yaming, additional, Fan, Yaowei, additional, Wang, Zhen, additional, Shi, Chuang, additional, Ma, Wanli, additional, Sun, Sheng, additional, Chen, Meihua, additional, Xing, Lili, additional, Zhang, Yan, additional, Xue, Xinyu, additional, and Zhan, Yang, additional

Published
2022
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35. Serum Sphingolipids Aid in Diagnosing Adult HIV-Negative Patients with Pulmonary Cryptococcosis: A Clinical Cohort Study

Author

Yau, Lee-Fong, primary, Chan, Wai-Him, additional, Li, Yuan-Xiang, additional, Zhan, Yang-Qing, additional, Huang, Jie, additional, Lin, Xin-Qing, additional, Li, Shao-Qiang, additional, Yang, Jing-Lu, additional, Pan, Hu-Dan, additional, Wang, Xi-Dong, additional, Qiu, Ye, additional, Fang, Gao-Neng, additional, Jiang, Zhi-Hong, additional, Ye, Feng, additional, Wang, Jing-Rong, additional, and Li, Zhengtu, additional

Published
2022
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37. The effects of supply chain collaboration on green innovation performance:An interpretive structural modeling analysis

Author

Zhan Yang and Yun Lin

Subjects
Environmental Engineering, Renewable Energy, Sustainability and the Environment, 020209 energy, Supply chain, Core component, media_common.quotation_subject, Green innovation, Supply chain collaboration, Context (language use), 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Industrial and Manufacturing Engineering, 0202 electrical engineering, electronic engineering, information engineering, Top management, Conceptual model, Environmental Chemistry, Business, Construct (philosophy), Industrial organization, 0105 earth and related environmental sciences, media_common
Abstract

In previous research, interrelationships between green innovation and supply chain collaboration (SCC) are under-explored. This study explores the effects of SCC on green innovation performance and considers supply chain collaborative drivers as a crucial part of green innovation strategy. We construct a conceptual model containing a set of 17 drivers on the implementation of green innovation and analyze the contextual relationships between these drivers using an interpretive structural modeling (ISM) method to identify the driving and dependence powers in green innovation within the context of SCC. The model is validated on a case study involving an automobile firm in southwestern China. The study reveals that the relationships between supply chain partners have a very high influence on green innovation performance. SCC should be deemed as a core component in green innovation strategies. In addition, environmental regulations, top management commitment and social recognition are among high driving and dependence powers. We have confirmed the significance of SCC enablers for green innovation and identified several specific attributes through research. To further improve the value of this study, theoretical and managerial implications are discussed.

Published
2020

38. Two thermally stable and AIE active 1,8-naphthalimide derivatives with red efficient thermally activated delayed fluorescence

Author

Juan Zhao, Yingxiao Mu, Zhu Mao, Zhiyong Yang, Zhan Yang, Xiaojie Chen, Yunan Wu, Yi Zhang, and Zhenguo Chi

Subjects
Photoluminescence, Materials science, Process Chemistry and Technology, General Chemical Engineering, Quantum yield, 02 engineering and technology, Electroluminescence, 010402 general chemistry, 021001 nanoscience & nanotechnology, Photochemistry, 01 natural sciences, Fluorescence, Acceptor, 0104 chemical sciences, Amorphous solid, OLED, Quantum efficiency, 0210 nano-technology
Abstract

Red thermally activated delayed fluorescence (TADF) emitters with aggregation-induced emission (AIE) properties have been developed, based on strong electron-with-drawing 1,8-naphthalimide (NI) acceptor (A). With strong electron-rich 10-H-phenothiazine (Pz) or 9,9-dimethyl-9,10-dihydroacridine (DMAC) groups as electron donors (D), 2,6-dimethylphenyl (DM) as a π-bridge, these highly twist D-π-A architecture NI derivatives showed typical AIE feature and excellent solid-state TADF emission with high photoluminescence quantum yield (PLQY) up to 55%. Moreover, the NI derivatives exhibited excellent thermal morphological stability in their solid amorphous states, providing a stable EML for practical applications. Finally, a high external quantum efficiency (EQE) of 7.13% from Pz-DMNI, was achieved in the red OLEDs device with electroluminescence (EL) peak of 635 nm.

Published
2019

44. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Author

Schilling, Kurt G., primary, Rheault, François, additional, Petit, Laurent, additional, Hansen, Colin B., additional, Nath, Vishwesh, additional, Yeh, Fang-Cheng, additional, Girard, Gabriel, additional, Barakovic, Muhamed, additional, Rafael-Patino, Jonathan, additional, Yu, Thomas, additional, Fischi-Gomez, Elda, additional, Pizzolato, Marco, additional, Ocampo-Pineda, Mario, additional, Schiavi, Simona, additional, Canales-Rodríguez, Erick J., additional, Daducci, Alessandro, additional, Granziera, Cristina, additional, Innocenti, Giorgio, additional, Thiran, Jean-Philippe, additional, Mancini, Laura, additional, Wastling, Stephen, additional, Cocozza, Sirio, additional, Petracca, Maria, additional, Pontillo, Giuseppe, additional, Mancini, Matteo, additional, Vos, Sjoerd B., additional, Vakharia, Vejay N., additional, Duncan, John S., additional, Melero, Helena, additional, Manzanedo, Lidia, additional, Sanz-Morales, Emilio, additional, Peña-Melián, Ángel, additional, Calamante, Fernando, additional, Attyé, Arnaud, additional, Cabeen, Ryan P., additional, Korobova, Laura, additional, Toga, Arthur W., additional, Vijayakumari, Anupa Ambili, additional, Parker, Drew, additional, Verma, Ragini, additional, Radwan, Ahmed, additional, Sunaert, Stefan, additional, Emsell, Louise, additional, De Luca, Alberto, additional, Leemans, Alexander, additional, Bajada, Claude J., additional, Haroon, Hamied, additional, Azadbakht, Hojjatollah, additional, Chamberland, Maxime, additional, Genc, Sila, additional, Tax, Chantal M.W., additional, Yeh, Ping-Hong, additional, Srikanchana, Rujirutana, additional, Mcknight, Colin D., additional, Yang, Joseph Yuan-Mou, additional, Chen, Jian, additional, Kelly, Claire E., additional, Yeh, Chun-Hung, additional, Cochereau, Jerome, additional, Maller, Jerome J., additional, Welton, Thomas, additional, Almairac, Fabien, additional, Seunarine, Kiran K, additional, Clark, Chris A., additional, Zhang, Fan, additional, Makris, Nikos, additional, Golby, Alexandra, additional, Rathi, Yogesh, additional, O'Donnell, Lauren J., additional, Xia, Yihao, additional, Aydogan, Dogu Baran, additional, Shi, Yonggang, additional, Fernandes, Francisco Guerreiro, additional, Raemaekers, Mathijs, additional, Warrington, Shaun, additional, Michielse, Stijn, additional, Ramírez-Manzanares, Alonso, additional, Concha, Luis, additional, Aranda, Ramón, additional, Meraz, Mariano Rivera, additional, Lerma-Usabiaga, Garikoitz, additional, Roitman, Lucas, additional, Fekonja, Lucius S., additional, Calarco, Navona, additional, Joseph, Michael, additional, Nakua, Hajer, additional, Voineskos, Aristotle N., additional, Karan, Philippe, additional, Grenier, Gabrielle, additional, Legarreta, Jon Haitz, additional, Adluru, Nagesh, additional, Nair, Veena A., additional, Prabhakaran, Vivek, additional, Alexander, Andrew L., additional, Kamagata, Koji, additional, Saito, Yuya, additional, Uchida, Wataru, additional, Andica, Christina, additional, Abe, Masahiro, additional, Bayrak, Roza G., additional, Wheeler-Kingshott, Claudia A.M. Gandini, additional, D'Angelo, Egidio, additional, Palesi, Fulvia, additional, Savini, Giovanni, additional, Rolandi, Nicolò, additional, Guevara, Pamela, additional, Houenou, Josselin, additional, López-López, Narciso, additional, Mangin, Jean-François, additional, Poupon, Cyril, additional, Román, Claudio, additional, Vázquez, Andrea, additional, Maffei, Chiara, additional, Arantes, Mavilde, additional, Andrade, José Paulo, additional, Silva, Susana Maria, additional, Calhoun, Vince D., additional, Caverzasi, Eduardo, additional, Sacco, Simone, additional, Lauricella, Michael, additional, Pestilli, Franco, additional, Bullock, Daniel, additional, Zhan, Yang, additional, Brignoni-Perez, Edith, additional, Lebel, Catherine, additional, Reynolds, Jess E, additional, Nestrasil, Igor, additional, Labounek, René, additional, Lenglet, Christophe, additional, Paulson, Amy, additional, Aulicka, Stefania, additional, Heilbronner, Sarah R., additional, Heuer, Katja, additional, Chandio, Bramsh Qamar, additional, Guaje, Javier, additional, Tang, Wei, additional, Garyfallidis, Eleftherios, additional, Raja, Rajikha, additional, Anderson, Adam W., additional, Landman, Bennett A., additional, and Descoteaux, Maxime, additional

Published
2021
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47. Emission of airborne microplastics from municipal solid waste transfer stations in downtown

Author

Tianyu, Hu, Pinjing, He, Zhan, Yang, Wei, Wang, Hua, Zhang, Liming, Shao, and Fan, Lü

Subjects
China, Environmental Engineering, Microplastics, Humans, Environmental Chemistry, Seasons, Solid Waste, Plastics, Pollution, Waste Management and Disposal, Water Pollutants, Chemical, Environmental Monitoring
Abstract

With the continuous progress of urbanization, municipal solid waste (MSW) transfer stations, which are key points for garbage collection and transportation, have moved to residential areas than before. The emission characteristics of gas-phase emerging contaminants should be comprehensively assessed in the assessment of health threats to workers and environmental risks. In this study, the emission characteristics of airborne microplastic particles (50 μm) were analyzed on the roof vent and waste reception hall of four MSW transfer stations in Shanghai during different seasons. The average concentration of airborne microplastic particles was 2.5 ± 1.3 n/m

Published
2022

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