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468 results on '"Yang, Chaojie"'

1. HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models

Author

Zhang, Shengkai, Jiao, Nianhong, Li, Tian, Yang, Chaojie, Xue, Chenhui, Niu, Boya, and Gao, Jun

Subjects
Computer Science - Computer Vision and Pattern Recognition, 68T07 (Primary) 68T10, I.4.5, I.5.0
Abstract

We propose an effective method for inserting adapters into text-to-image foundation models, which enables the execution of complex downstream tasks while preserving the generalization ability of the base model. The core idea of this method is to optimize the attention mechanism related to 2D feature maps, which enhances the performance of the adapter. This approach was validated on the task of meme video generation and achieved significant results. We hope this work can provide insights for post-training tasks of large text-to-image models. Additionally, as this method demonstrates good compatibility with SD1.5 derivative models, it holds certain value for the open-source community. Therefore, we will release the related code (\url{https://songkey.github.io/hellomeme})., Comment: 11 pages, 7 figures, 2 tables

Published
2024

5. Characterization of a Salmonella enterica serovar Typhimurium lineage with rough colony morphology and multidrug resistance

Author

Xiang, Ying, Zhu, Kunpeng, Min, Kaiyuan, Zhang, Yaowen, Liu, Jiangfeng, Liu, Kangkang, Han, Yiran, Li, Xinge, Du, Xinying, Wang, Xin, Huang, Ying, Li, Xinping, Peng, Yuqian, Yang, Chaojie, Liu, Hongbo, Liu, HONGBO, Li, Xiaoying, Wang, Hui, Wang, Chao, Wang, Qi, Jia, Huiqun, Yang, Mingjuan, Wang, Ligui, Wu, Yarong, Cui, Yujun, Chen, Fei, Yang, Haiyan, Baker, Stephen, Xu, Xuebin, Yang, Juntao, Song, Hongbin, and Qiu, Shaofu

Published
2024
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7. Lymphocyte activation gene-3-associated protein networks are associated with HDL-cholesterol and mortality in the Trans-omics for Precision Medicine program

Author

Manichaikul, Ani, Lin, Honghuang, Kang, Chansuk, Yang, Chaojie, Rich, Stephen S, Taylor, Kent D, Guo, Xiuqing, Rotter, Jerome I, Craig Johnson, W, Cornell, Elaine, Tracy, Russell P, Peter Durda, J, Liu, Yongmei, Vasan, Ramachandran S, Adrienne Cupples, L, Gerszten, Robert E, Clish, Clary B, Jain, Deepti, Conomos, Matthew P, Blackwell, Thomas, Papanicolaou, George J, and Rodriguez, Annabelle

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Clinical Research, Heart Disease, Human Genome, Aging, Atherosclerosis, Cardiovascular, Precision Medicine, Biotechnology, Heart Disease - Coronary Heart Disease, 2.1 Biological and endogenous factors, Good Health and Well Being, Cholesterol, HDL, Chromatin, Humans, Lymphocyte Activation, Membrane Proteins, Biological sciences, Biomedical and clinical sciences
Abstract

Deficiency of the immune checkpoint lymphocyte activation gene-3 (LAG3) protein is significantly associated with both elevated HDL-cholesterol (HDL-C) and myocardial infarction risk. We determined the association of genetic variants within ±500 kb of LAG3 with plasma LAG3 and defined LAG3-associated plasma proteins with HDL-C and clinical outcomes. Whole genome sequencing and plasma proteomics were obtained from the Multi-Ethnic Study of Atherosclerosis (MESA) and the Framingham Heart Study (FHS) cohorts as part of the Trans-Omics for Precision Medicine program. In situ Hi-C chromatin capture was performed in EBV-transformed cell lines isolated from four MESA participants. Genetic association analyses were performed in MESA using multivariate regression models, with validation in FHS. A LAG3-associated protein network was tested for association with HDL-C, coronary heart disease, and all-cause mortality. We identify an association between the LAG3 rs3782735 variant and plasma LAG3 protein. Proteomics analysis reveals 183 proteins significantly associated with LAG3 with four proteins associated with HDL-C. Four proteins discovered for association with all-cause mortality in FHS shows nominal associations in MESA. Chromatin capture analysis reveals significant cis interactions between LAG3 and C1S, LRIG3, TNFRSF1A, and trans interactions between LAG3 and B2M. A LAG3-associated protein network has significant associations with HDL-C and mortality.

Published
2022

9. Genome-wide association studies and fine-mapping identify genomic loci for n-3 and n-6 polyunsaturated fatty acids in Hispanic American and African American cohorts

Author

Yang, Chaojie, Veenstra, Jenna, Bartz, Traci M., Pahl, Matthew C., Hallmark, Brian, Chen, Yii-Der Ida, Westra, Jason, Steffen, Lyn M., Brown, Christopher D., Siscovick, David, Tsai, Michael Y., Wood, Alexis C., Rich, Stephen S., Smith, Caren E., O’Connor, Timothy D., Mozaffarian, Dariush, Grant, Struan F. A., Chilton, Floyd H., Tintle, Nathan L., Lemaitre, Rozenn N., and Manichaikul, Ani

Published
2023
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12. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants.

Author

Zhao, Xutong, Qiao, Dandi, Yang, Chaojie, Kasela, Silva, Kim, Wonji, Ma, Yanlin, Shrine, Nick, Batini, Chiara, Sofer, Tamar, Taliun, Sarah A Gagliano, Sakornsakolpat, Phuwanat, Balte, Pallavi P, Prokopenko, Dmitry, Yu, Bing, Lange, Leslie A, Dupuis, Josée, Cade, Brian E, Lee, Jiwon, Gharib, Sina A, Daya, Michelle, Laurie, Cecelia A, Ruczinski, Ingo, Cupples, L Adrienne, Loehr, Laura R, Bartz, Traci M, Morrison, Alanna C, Psaty, Bruce M, Vasan, Ramachandran S, Wilson, James G, Taylor, Kent D, Durda, Peter, Johnson, W Craig, Cornell, Elaine, Guo, Xiuqing, Liu, Yongmei, Tracy, Russell P, Ardlie, Kristin G, Aguet, François, VanDenBerg, David J, Papanicolaou, George J, Rotter, Jerome I, Barnes, Kathleen C, Jain, Deepti, Nickerson, Deborah A, Muzny, Donna M, Metcalf, Ginger A, Doddapaneni, Harshavardhan, Dugan-Perez, Shannon, Gupta, Namrata, Gabriel, Stacey, Rich, Stephen S, O'Connor, George T, Redline, Susan, Reed, Robert M, Laurie, Cathy C, Daviglus, Martha L, Preudhomme, Liana K, Burkart, Kristin M, Kaplan, Robert C, Wain, Louise V, Tobin, Martin D, London, Stephanie J, Lappalainen, Tuuli, Oelsner, Elizabeth C, Abecasis, Goncalo R, Silverman, Edwin K, Barr, R Graham, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lung Working Group, Cho, Michael H, and Manichaikul, Ani

Subjects
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lung Working Group, Lung, Humans, Pulmonary Disease, Chronic Obstructive, Genetic Predisposition to Disease, Intracellular Signaling Peptides and Proteins, Calcium-Binding Proteins, Small Ubiquitin-Related Modifier Proteins, Follow-Up Studies, Feasibility Studies, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, African Americans, Female, Male, Protein Inhibitors of Activated STAT, Respiratory Physiological Phenomena, Genome-Wide Association Study, Genetic Loci, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Whole Genome Sequencing, and over, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive
Abstract

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

Published
2020

13. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.

Author

Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group

Subjects
NHLBI TOPMed Lipids Working Group
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

15. Stroke genetics informs drug discovery and risk prediction across ancestries

Author

Mishra, Aniket, Malik, Rainer, Hachiya, Tsuyoshi, Jürgenson, Tuuli, Namba, Shinichi, Posner, Daniel C., Kamanu, Frederick K., Koido, Masaru, Le Grand, Quentin, Shi, Mingyang, He, Yunye, Georgakis, Marios K., Caro, Ilana, Krebs, Kristi, Liaw, Yi-Ching, Vaura, Felix C., Lin, Kuang, Winsvold, Bendik Slagsvold, Srinivasasainagendra, Vinodh, Parodi, Livia, Bae, Hee-Joon, Chauhan, Ganesh, Chong, Michael R., Tomppo, Liisa, Akinyemi, Rufus, Roshchupkin, Gennady V., Habib, Naomi, Jee, Yon Ho, Thomassen, Jesper Qvist, Abedi, Vida, Cárcel-Márquez, Jara, Nygaard, Marianne, Leonard, Hampton L., Yang, Chaojie, Yonova-Doing, Ekaterina, Knol, Maria J., Lewis, Adam J., Judy, Renae L., Ago, Tetsuro, Amouyel, Philippe, Armstrong, Nicole D., Bakker, Mark K., Bartz, Traci M., Bennett, David A., Bis, Joshua C., Bordes, Constance, Børte, Sigrid, Cain, Anael, Ridker, Paul M., Cho, Kelly, Chen, Zhengming, Cruchaga, Carlos, Cole, John W., de Jager, Phil L., de Cid, Rafael, Endres, Matthias, Ferreira, Leslie E., Geerlings, Mirjam I., Gasca, Natalie C., Gudnason, Vilmundur, Hata, Jun, He, Jing, Heath, Alicia K., Ho, Yuk-Lam, Havulinna, Aki S., Hopewell, Jemma C., Hyacinth, Hyacinth I., Inouye, Michael, Jacob, Mina A., Jeon, Christina E., Jern, Christina, Kamouchi, Masahiro, Keene, Keith L., Kitazono, Takanari, Kittner, Steven J., Konuma, Takahiro, Kumar, Amit, Lacaze, Paul, Launer, Lenore J., Lee, Keon-Joo, Lepik, Kaido, Li, Jiang, Li, Liming, Manichaikul, Ani, Markus, Hugh S., Marston, Nicholas A., Meitinger, Thomas, Mitchell, Braxton D., Montellano, Felipe A., Morisaki, Takayuki, Mosley, Thomas H., Nalls, Mike A., Nordestgaard, Børge G., O’Donnell, Martin J., Okada, Yukinori, Onland-Moret, N. Charlotte, Ovbiagele, Bruce, Peters, Annette, Psaty, Bruce M., Rich, Stephen S., Rosand, Jonathan, Sabatine, Marc S., Sacco, Ralph L., Saleheen, Danish, Sandset, Else Charlotte, Salomaa, Veikko, Sargurupremraj, Muralidharan, Sasaki, Makoto, Satizabal, Claudia L., Schmidt, Carsten O., Shimizu, Atsushi, Smith, Nicholas L., Sloane, Kelly L., Sutoh, Yoichi, Sun, Yan V., Tanno, Kozo, Tiedt, Steffen, Tatlisumak, Turgut, Torres-Aguila, Nuria P., Tiwari, Hemant K., Trégouët, David-Alexandre, Trompet, Stella, Tuladhar, Anil Man, Tybjærg-Hansen, Anne, van Vugt, Marion, Vibo, Riina, Verma, Shefali S., Wiggins, Kerri L., Wennberg, Patrik, Woo, Daniel, Wilson, Peter W. F., Xu, Huichun, Yang, Qiong, Yoon, Kyungheon, Millwood, Iona Y., Gieger, Christian, Ninomiya, Toshiharu, Grabe, Hans J., Jukema, J. Wouter, Rissanen, Ina L., Strbian, Daniel, Kim, Young Jin, Chen, Pei-Hsin, Mayerhofer, Ernst, Howson, Joanna M. M., Irvin, Marguerite R., Adams, Hieab, Wassertheil-Smoller, Sylvia, Christensen, Kaare, Ikram, Mohammad A., Rundek, Tatjana, Worrall, Bradford B., Lathrop, G. Mark, Riaz, Moeen, Simonsick, Eleanor M., Kõrv, Janika, França, Paulo H. C., Zand, Ramin, Prasad, Kameshwar, Frikke-Schmidt, Ruth, de Leeuw, Frank-Erik, Liman, Thomas, Haeusler, Karl Georg, Ruigrok, Ynte M., Heuschmann, Peter Ulrich, Longstreth, W. T., Jung, Keum Ji, Bastarache, Lisa, Paré, Guillaume, Damrauer, Scott M., Chasman, Daniel I., Rotter, Jerome I., Anderson, Christopher D., Zwart, John-Anker, Niiranen, Teemu J., Fornage, Myriam, Liaw, Yung-Po, Seshadri, Sudha, Fernández-Cadenas, Israel, Walters, Robin G., Ruff, Christian T., Owolabi, Mayowa O., Huffman, Jennifer E., Milani, Lili, Kamatani, Yoichiro, Dichgans, Martin, and Debette, Stephanie

Published
2022
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23. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.

Author

Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group

Subjects
NHLBI TOPMed Lipids Working Group
Abstract

The original version of this article contained an error in the name of the author Ramachandran S. Vasan, which was incorrectly given as Vasan S. Ramachandran. This has now been corrected in both the PDF and HTML versions of the article.

Published
2018

24. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.

Author

Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group

Subjects
NHLBI TOPMed Lipids Working Group, Humans, Cardiovascular Diseases, Lipoprotein(a), Adaptor Proteins, Vesicular Transport, Risk Factors, Gene Expression, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome, Human, African Continental Ancestry Group, European Continental Ancestry Group, Cholesterol, LDL, Genome-Wide Association Study, DNA Copy Number Variations, Whole Genome Sequencing, Atherosclerosis, Genetics, Cardiovascular, Prevention, Human Genome, Heart Disease, 2.1 Biological and endogenous factors
Abstract

Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans.

Published
2018

30. Motion Characteristics of Cellulose Particles in Oil—Analysis of the Synchronized Interframe Imaging and Voltage Observations

Author

Liu, Yijin, Zhao, Tao, Liu, Yunpeng, Xu, Jiaxue, Liu, Yunuo, and Yang, Chaojie

Abstract

The movement and aggregation of cellulose particles reduce the insulation performance of the transformer, thereby increasing the risk of oil-paper insulation failure. In this study, an experimental platform is constructed to synchronously record the particle motion images and voltage, allowing for the observation of the typical motion mode of the particle between electrodes, namely, the back-and-forth motion mode, under alternating current (ac) voltage. The connection between the cellulose particle’s movement and the ac voltage phase in this motion mode is subsequently examined, delving into the trajectory of particle motion, which is captured through the implementation of image processing technology. The results indicate that the cellulose particle does not always move in the direction of the electric field lines. Within one cycle of the power frequency voltage waveform, the particle exhibits two states: staying on the electrode surface and moving in the oil gap, with each state occupying approximately half of the time. In addition, the cellulose particle consistently moves within the oil gap during the second and fourth quadrants of the voltage cycle, while it remains on the electrodes during the first and third quadrants. Subsequently, an analysis model is conducted to simulate the particle’s trajectory as it moves between the electrodes, coupled with the calculations and analysis of the variation in the velocity and the primary forces exerted on the particle. The results show that the particle tends to move toward the more concentrated area of the electric field, and the closer it is to the center of the spherical electrode, the denser its motion trajectory is. This study provides a theoretical basis for the subsequent insulation hazard assessment of cellulose impurities.

Published
2024
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31. Bubble Initiation Within Microgap Under Low-Frequency Vibration: Theoretical Analysis and Experimental Observation

Author

Yang, Jiajun, Zhao, Tao, Liu, Yunpeng, Yang, Chaojie, Liu, Yijin, Liu, Yunuo, Guo, Yan, and Lai, Tingyu

Abstract

Based on operating experience, internal pressure fluctuations caused by vibration in oil-immersed electrical equipment can lead to bubble formation within the narrow gap. Bubbles significantly reduce the electrical strength and insulation level of equipment. The main aim of this study is to determine the mechanism and characteristics of bubble initiation within the microgap induced by low-frequency vibration. A model of the microgap with wall vibration is constructed, and based on fluid mechanics and cavitation theory, the criterion of cavitation caused by the microgap wall vibration is proposed. Then, an experimental platform is built to observe the bubbling phenomena due to vibration within the microgap, and the process of bubble initiation is analyzed. Finally, the effect of microgap geometry on the threshold characteristics of bubble initiation under vibration is obtained. The results show that bubble initiation within the microgap is closely related to the pressure in the insulating oil. The bubbling phenomena can be observed at the microgap when the pressure exceeds a certain threshold. The process of bubble initiation within the microgap follows a periodic pattern with vibration, and bubbles initiate during the expansion of the microgap. Furthermore, reducing the initial spacing of the microgap or increasing the size of vibrating plates can promote bubble initiation within the microgap. The study contributes to understanding the mechanism and characteristics of bubble generation within microgaps of oil-immersed electrical equipment. It also provides theoretical support for the insulation risk assessment and measures to suppress bubble formation within microgaps in oil-immersed electrical equipment.

Published
2024
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32. Bubble Motion Characteristics in the Transformer Oil Gap at the Top of HV Winding

Author

Zhao, Tao, Liu, Yunuo, Liu, Yunpeng, Yang, Chaojie, Zheng, Yameng, Zhu, Wenbing, and Gu, Zhaoliang

Abstract

The bubbles generated in the oil-paper insulation and their movement will reduce the dielectric strength and lead to insulation failure in power transformers. To explore bubble motion characteristics and the possible accumulation location, a bubble motion simulating model is established coupling with the electric field and the oil flow. The motion and deformation of the bubble in the oil gap at the top of high-voltage winding are simulated under ac electric field. The results show that the bubble motion trajectory presents an S-shape during the rising period near the T-cross oil gap driven by the electric field force and pressure from the oil flow. During the motion process, the bubble undergoes periodic deformation with a frequency of 100 Hz. The presence of the bubble changes the electric field distribution, bringing about a more significant distortion of the electric field. In the L-shaped oil gap near the electrostatic ring, the bubble motion is mainly driven by pressure from the oil flow. Moreover, if the oil flow velocity is very slow, the bubbles may accumulate on the inner wall of the angle ring, which will give rise to further deterioration of insulation. A test platform is built to observe the bubble trajectory in the oil gap and the results are consistent with simulated in the model. The results obtained are of great significance to present a better understanding of the bubble dynamics in the transformer oil gaps. Insulation failure risk caused by bubble motion and accumulation in oil gap needs to be paid attention to and further explored by researchers.

Published
2024
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33. Partial Discharge and Deterioration Characteristics of Oil-Immersed Pressboard Under Bubble Defects

Author

Yang, Chaojie, Zhao, Tao, Liu, Yunpeng, Yang, Jiajun, Liu, Yijin, and Liu, Yunuo

Abstract

Bubbles are typical defects in the oil-paper insulation system of transformers. The partial discharge (PD) caused by them significantly reduces the insulation performance of oil-paper insulation, posing a great threat to the insulation of transformers. However, there is currently limited research on the evolution process of bubble PD and the deterioration characteristics of oil-immersed pressboard (OIPB) caused by bubble PD. This article first constructs a bubble PD test platform, using air bubbles in stagnant oil as the research object. In the research object, the shape, volume, and gas composition inside the bubbles will change with the variation of voltage and PD, which can fully reflect the accumulative effect of long-term PD in bubbles. Then, this article conducts experimental research on the evolution and breakdown process of bubble PD. The results show that the evolution of PD inside bubbles may greatly change the phase-resolved PD (PRPD) spectrum, and this article proposes a possible explanation for the evolution of bubble PD: the gas composition inside the bubble dominates the evolution of PD. Finally, based on the inhibitory or promoting effects of different fault gases on the evolution of PD, this article establishes a connection between bubble PD and the deterioration of OIPB. Scanning electron microscopy (SEM) is used to analyze the microstructure of OIPB in different damage states, and the micromechanism of bubble deformation and insulation failure is discussed. The work helps to understand the PD characteristics of bubble defects and the mechanism of causing insulation failure in OIPB, providing a reference for risk assessment of transformers.

Published
2024
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34. The species problem in Artemia Leach, 1819 (Crustacea: Anostraca), a genus with sexual species and obligate parthenogenetic lineages.

Author

Asem, Alireza, Gajardo, Gonzalo, Hontoria, Francisco, Yang, Chaojie, Shen, Chun-Yang, Rastegar-Pouyani, Nasrullah, Padhye, Sameer M, and Sorgeloos, Patrick

Subjects
REPRODUCTIVE isolation, ASEXUAL reproduction, ARTEMIA, ENDEMIC species, POPULATION genetics
Abstract

Parthenogenesis is an asexual reproduction mode characterized by the development of a female oocyte without fertilization. From an evolutionary perspective, parthenogenesis seems less successful than the predominant sexual mode, though there are groups in which both reproductive types exist, an example of which is the genus Artemia Leach, 1819. This salt-tolerant crustacean inhabiting hypersaline environments contains regionally endemic sexual species and obligate parthenogenetic groups with different ploidy levels, collectively referred to as Artemia parthenogenetica. Here, we discuss the difficulties of using a common species concept in Artemia Leach, 1819. While sexual species are widespread and fit the Biological Species Concept (BSC), which emphasizes reproductive isolation to maintain species genetic integrity or cohesiveness, it does not apply to uniparental organisms originating from sexual species with major meiotic changes. We show that different ploidy levels of parthenogenetic Artemia groups with uniform nuclear gene pools are maternally independent genetic entities (or cohesive), collectively and wrongly referred to as Artemia parthenogenetica. Thus, we conclude that ' Artemia parthenogenetica ' is an invalid nominal specific name. Additionally, parthenogenetic Artemia groups cannot be considered a form of Artemia species (A. urmiana and/or A. sinica). In conclusion, we recommend using the term 'parthenogenetic lineage(s)' instead of 'parthenogenetic population(s)' to describe asexual Artemia group(s), because in modern population genetics and systematics, the term 'population' refers to interbreeding individuals with sexual reproduction. Furthermore, it clarifies that parthenogenetic lineages of Artemia are native to Mediterranean biodiversity. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Advances in the Neural Network Quantization: A Comprehensive Review.

Author

Wei, Lu, Ma, Zhong, Yang, Chaojie, and Yao, Qin

Subjects
LANGUAGE models, NATURAL language processing, ARTIFICIAL intelligence, CONVOLUTIONAL neural networks, EDGE computing
Abstract

Artificial intelligence technologies based on deep convolutional neural networks and large language models have made significant breakthroughs in many tasks, such as image recognition, target detection, semantic segmentation, and natural language processing, but also face a conflict between the high computational capacity of the algorithms and limited deployment resources. Quantization, which converts floating-point neural networks into low-bit-width integer networks, is an important and essential technique for efficient deployment and cost reduction in edge computing. This paper analyzes various existing quantization methods, showcases the deployment accuracy of advanced techniques, and discusses the future challenges and trends in this domain. [ABSTRACT FROM AUTHOR]

Published
2024
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36. The Complex FtBBX22 and FtHY5 Positively Regulates Light-Induced Anthocyanin Accumulation by Activating FtMYB42 in Tartary Buckwheat Sprouts.

Author

Deng, Jiao, Zhang, Lan, Wang, Lijuan, Zhao, Jiali, Yang, Chaojie, Li, Hongyou, Huang, Juan, Shi, Taoxiong, Zhu, Liwei, Damaris, Rebecca Njeri, and Chen, Qingfu

Subjects
TRANSCRIPTION factors, GERMPLASM, ANTHOCYANINS, GENETIC transcription, BIOSYNTHESIS, BUCKWHEAT
Abstract

Anthocyanin is one important nutrition composition in Tartary buckwheat (Fagopyrum tataricum) sprouts, a component missing in its seeds. Although anthocyanin biosynthesis requires light, the mechanism of light-induced anthocyanin accumulation in Tartary buckwheat is unclear. Here, comparative transcriptome analysis of Tartary buckwheat sprouts under light and dark treatments and biochemical approaches were performed to identify the roles of one B-box protein BBX22 and ELONGATED HYPOCOTYL 5 (HY5). The overexpression assay showed that FtHY5 and FtBBX22 could both promote anthocyanin synthesis in red-flower tobacco. Additionally, FtBBX22 associated with FtHY5 to form a complex that activates the transcription of MYB transcription factor genes FtMYB42 and FtDFR, leading to anthocyanin accumulation. These findings revealed the regulation mechanism of light-induced anthocyanin synthesis and provide excellent gene resources for breeding high-quality Tartary buckwheat. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Comparative de novo transcriptomics reveal the effect of lead on Leech in aquaculture environment

Author

Wang Kun, Meng Jieqin, Cheng Liangke, Shi Fujuan, Yang Chaojie, Maiheliya Mijiti, and Yang Yaojun

Subjects
Whitmania pigra, Culturing environment, Lead contamination, Comparative transcriptomics，differentially expressed genes, Aquaculture. Fisheries. Angling, SH1-691
Abstract

Whitmania pigra Whitman is a non-bloodsucking leech, which is included in the Pharmacopoeia of the People's Republic of China. As a traditional Chinese medicine, its main function is to remove the blood stasis. In the process of breeding, Whitmania pigra Whitman is easily affected by the pollution of the heavy metal lead. This study simulated the pond culture environment in the aquarium with the soil in the bottom. The soil lead contamination was caused by adding lead nitrate to the soil. The blank leech group and lead contaminated leech group were obtained after 50 days of culturing in the aquariums. Denovo assembly and analysis were performed to reveal the changes of gene expression in Whitmania pigra Whitman after lead contamination. The sequencing results showed that each sample had more than 45 million Raw Reads and the percentage of Clean reads was more than 96%. There were altogether 120,684 transcripts which average length is 1590.42 bp. 34,612 unigenes were annotated based on the sequence homology. In result, a total of 1110 differentially expressed genes were obtained, including 694 up-regulated genes and 416 down-regulated genes. The GO enrichment analysis of differentially expressed genes was significantly enriched to 85 GO entries. In the other hand, the KEGG enrichment analysis of differentially expressed genes was significantly enriched to 5 pathways, among which arachidonic acid metabolism and lysosomes were important pathways. In conclusion, the results of this study can provide data support for future studies on the quality of leech and provide a reference for the effects of heavy metal lead accumulation in the culture environment on aquatic organisms.

Published
2022
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39. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries

Author

Mishra, Aniket, Malik, Rainer, Hachiya, Tsuyoshi, Jürgenson, Tuuli, Namba, Shinichi, Posner, Daniel C., Kamanu, Frederick K., Koido, Masaru, Le Grand, Quentin, Shi, Mingyang, He, Yunye, Georgakis, Marios K., Caro, Ilana, Krebs, Kristi, Liaw, Yi-Ching, Vaura, Felix C., Lin, Kuang, Winsvold, Bendik Slagsvold, Srinivasasainagendra, Vinodh, Parodi, Livia, Bae, Hee-Joon, Chauhan, Ganesh, Chong, Michael R., Tomppo, Liisa, Akinyemi, Rufus, Roshchupkin, Gennady V., Habib, Naomi, Jee, Yon Ho, Thomassen, Jesper Qvist, Abedi, Vida, Cárcel-Márquez, Jara, Nygaard, Marianne, Leonard, Hampton L., Yang, Chaojie, Yonova-Doing, Ekaterina, Knol, Maria J., Lewis, Adam J., Judy, Renae L., Ago, Tetsuro, Amouyel, Philippe, Armstrong, Nicole D., Bakker, Mark K., Bartz, Traci M., Bennett, David A., Bis, Joshua C., Bordes, Constance, Børte, Sigrid, Cain, Anael, Ridker, Paul M., Cho, Kelly, Chen, Zhengming, Cruchaga, Carlos, Cole, John W., de Jager, Phil L., de Cid, Rafael, Endres, Matthias, Ferreira, Leslie E., Geerlings, Mirjam I., Gasca, Natalie C., Gudnason, Vilmundur, Hata, Jun, He, Jing, Heath, Alicia K., Ho, Yuk-Lam, Havulinna, Aki S., Hopewell, Jemma C., Hyacinth, Hyacinth I., Inouye, Michael, Jacob, Mina A., Jeon, Christina E., Jern, Christina, Kamouchi, Masahiro, Keene, Keith L., Kitazono, Takanari, Kittner, Steven J., Konuma, Takahiro, Kumar, Amit, Lacaze, Paul, Launer, Lenore J., Lee, Keon-Joo, Lepik, Kaido, Li, Jiang, Li, Liming, Manichaikul, Ani, Markus, Hugh S., Marston, Nicholas A., Meitinger, Thomas, Mitchell, Braxton D., Montellano, Felipe A., Morisaki, Takayuki, Mosley, Thomas H., Nalls, Mike A., Nordestgaard, Børge G., O’Donnell, Martin J., Okada, Yukinori, Onland-Moret, N. Charlotte, Ovbiagele, Bruce, Peters, Annette, Psaty, Bruce M., Rich, Stephen S., Rosand, Jonathan, Sabatine, Marc S., Sacco, Ralph L., Saleheen, Danish, Sandset, Else Charlotte, Salomaa, Veikko, Sargurupremraj, Muralidharan, Sasaki, Makoto, Satizabal, Claudia L., Schmidt, Carsten O., Shimizu, Atsushi, Smith, Nicholas L., Sloane, Kelly L., Sutoh, Yoichi, Sun, Yan V., Tanno, Kozo, Tiedt, Steffen, Tatlisumak, Turgut, Torres-Aguila, Nuria P., Tiwari, Hemant K., Trégouët, David-Alexandre, Trompet, Stella, Tuladhar, Anil Man, Tybjærg-Hansen, Anne, van Vugt, Marion, Vibo, Riina, Verma, Shefali S., Wiggins, Kerri L., Wennberg, Patrik, Woo, Daniel, Wilson, Peter W. F., Xu, Huichun, Yang, Qiong, Yoon, Kyungheon, Millwood, Iona Y., Gieger, Christian, Ninomiya, Toshiharu, Grabe, Hans J., Jukema, J. Wouter, Rissanen, Ina L., Strbian, Daniel, Kim, Young Jin, Chen, Pei-Hsin, Mayerhofer, Ernst, Howson, Joanna M. M., Irvin, Marguerite R., Adams, Hieab, Wassertheil-Smoller, Sylvia, Christensen, Kaare, Ikram, Mohammad A., Rundek, Tatjana, Worrall, Bradford B., Lathrop, G. Mark, Riaz, Moeen, Simonsick, Eleanor M., Kõrv, Janika, França, Paulo H. C., Zand, Ramin, Prasad, Kameshwar, Frikke-Schmidt, Ruth, de Leeuw, Frank-Erik, Liman, Thomas, Haeusler, Karl Georg, Ruigrok, Ynte M., Heuschmann, Peter Ulrich, Longstreth, W. T., Jung, Keum Ji, Bastarache, Lisa, Paré, Guillaume, Damrauer, Scott M., Chasman, Daniel I., Rotter, Jerome I., Anderson, Christopher D., Zwart, John-Anker, Niiranen, Teemu J., Fornage, Myriam, Liaw, Yung-Po, Seshadri, Sudha, Fernández-Cadenas, Israel, Walters, Robin G., Ruff, Christian T., Owolabi, Mayowa O., Huffman, Jennifer E., Milani, Lili, Kamatani, Yoichiro, Dichgans, Martin, and Debette, Stephanie

Published
2022
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40. Impact of Amerind ancestry and FADS genetic variation on omega-3 deficiency and cardiometabolic traits in Hispanic populations

Author

Yang, Chaojie, Hallmark, Brian, Chai, Jin Choul, O’Connor, Timothy D., Reynolds, Lindsay M., Wood, Alexis C., Seeds, Michael, Chen, Yii-Der Ida, Steffen, Lyn M., Tsai, Michael Y., Kaplan, Robert C., Daviglus, Martha L., Mandarino, Lawrence J., Fretts, Amanda M., Lemaitre, Rozenn N., Coletta, Dawn K., Blomquist, Sarah A., Johnstone, Laurel M., Tontsch, Chandra, Qi, Qibin, Ruczinski, Ingo, Rich, Stephen S., Mathias, Rasika A., Chilton, Floyd H., and Manichaikul, Ani

Published
2021
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41. ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG

Author

Qi, Jiaxing, Xiao, Wencong, Li, Mingzhen, Yang, Chaojie, Li, Yong, Lin, Wei, Yang, Hailong, Luan, Zhongzhi, and Qian, Depei

Abstract

As deep learning (DL) technologies become ubiquitous, GPU clusters are deployed for inference tasks with consistent service level objectives (SLOs). Efficiently utilizing multiple GPUs is crucial for throughput and cost-effectiveness. This article addresses the challenges posed by dynamic input and NVIDIA MIG in scheduling DL workloads. We present ElasticBatch, a scheduling system that simplifies configuration through bucketization and employs a machine learning-based pipeline to optimize settings. Our experiments demonstrate that ElasticBatch achieves a 50% reduction in GPU instances compared to MIG disablement, increases GPU utilization by 1.4% to 6.5% over an ideal scheduler and significantly reduces profiling time. This research contributes to the discourse on efficient utilization of GPU clusters. ElasticBatch's effectiveness in mitigating challenges posed by dynamic inputs and NVIDIA MIG underscores its potential to optimize GPU cluster performance, providing tangible benefits in terms of reduced instances, increased utilization, and significant time savings in real-world deployment scenarios.

Published
2024
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42. A Real-Time Hand Gesture Recognition System for Low-Latency HMI via Transient HD-SEMG and In-Sensor Computing

Author

Qiu, Haomeng, Chen, Zhitao, Chen, Yan, Yang, Chaojie, Wu, Sihan, Li, Fanglin, and Xie, Longhan

Abstract

In real-time human-machine interaction (HMI) applications, hand gesture recognition (HGR) requires high accuracy with low latency. Surface electromyography (sEMG), a physiological electrical signal reflecting muscle activation, is extensively used in HMI. Recently, transient sEMG, generated during the gesture transitions, has been employed in HGR to achieve lower observational latency compared to steady-state sEMG. However, the use of long feature windows (up to 200 ms) still make it less desirable in low-latency HMI. In addition, most studies have relied on remote computing, where remote data processing and large data transfer result in high computation and network latency. In this paper, we proposed a method leveraging transient high density sEMG (HD-sEMG) and in-sensor computing to achieve low-latency HGR. An sEMG contrastive convolution network (sCCN) was proposed for HGR. The mean absolute value and its average integration were used to train the sCCN in a contrastive learning manner. In addition, all signal acquisition, data processing, and pattern recognition processes were deployed within designed sensor for in-sensor computing. Compared to the state-of-the-art study using multi-channel 200-ms transient sEMG, our proposed method achieved a comparable HGR accuracy of 0.963, and a 58% lower observational latency of only 84 ms. In-sensor computing realizes a 4 times lower computation latency of 3 ms, and significantly reduces the network latency to 2 ms. The proposed method offers a promising approach to achieving low-latency HGR without compromising accuracy. This facilitates real-time HMI in biomedical applications such as prostheses, exoskeletons, virtual reality, and video games.

Published
2024
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46. Genomic and Phenotypic Analysis of blaKPC-2 Associated Carbapenem Resistance in Klebsiella aerogenes: Insights into Clonal Spread and Resistance Mechanisms Across Hospital Departments in Beijing.

Author

Jin, Hang, Yan, Zhongqiang, Ge, Xin, Wang, Qi, Wang, Hui, Du, Xinying, Liu, Hongbo, Yang, Chaojie, Xiang, Ying, Tian, Sai, Qiu, Shaofu, and Zhou, Yu

Subjects
WHOLE genome sequencing, GENOMICS, SINGLE nucleotide polymorphisms, MICROBIAL sensitivity tests, DRUG resistance in microorganisms
Abstract

Purpose: This study conducted an phenotypic and whole-genome sequencing analysis with Klebsiella aerogenes to elucidate its clinical epidemiological characteristics, antimicrobial resistance (AMR) phenotype, biofilm formation ability and hemolytic activity testing, AMR genes and phylogenetic relationships, so as to provide a further understanding of the intra-hospital strain transmission. Methods: Samples were collected from a hospital in Beijing between 2020 and 2022. All strains underwent bacterial identification, antimicrobial susceptibility testing (AST) using the VITEK-2 compact system. Biofilm formation ability and hemolytic activity were tested. Second-generation sequencing was applied to all strains, with those carrying the blaKPC gene were selected for third-generation sequencing. Whole-genome analysis identified resistance genes, plasmid types, MLST typing, and phylogenetic relationships. Plasmids were assembled to detect plasmid structures and AMR gene location. Results: Among the 42 K. aerogenes isolates, 21 were carbapenem-resistant K. aerogenes (CRKA). All strains exhibited strong biofilm formation and no hemolytic activity. Most were sourced from sputum (83.3%). CRKA demonstrated extensive resistance to antibiotics, particularly β-lactamase inhibitors and Cefotetan. This resistance pattern was closely associated with the presence of an IncFII(pHN7A8) plasmid, which carried multiple resistance genes, including blaKPC-2, blaCTX-M-65, blaTEM-1, rmtB and a large number of mobile elements. The majority of CRKA strains clustered within the same branch of the phylogenetic tree, exhibiting minimal single nucleotide polymorphism (0– 13 SNPs) differences, and they shared the same sequence type (ST292), resistance genes, and plasmids, originating from different departments, suggesting clonal transmission among the hospital. Conclusion: Our research reveals that the clonal transmission of CRKA occurs across various departments within the hospital. The widespread resistance observed in CRKA, attributed to the presence of blaKPC and ESBLs genes, underscores the need for heightened vigilance to prevent the further dissemination of CRKA within the hospital and, potentially, throughout the wider community. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Red pandas with different diets and environments exhibit different gut microbial functional composition and capacity.

Author

LU, Yunwei, ZHANG, Liang, LIU, Xu, LAN, Yue, WU, Lixia, WANG, Jiao, WU, Kongju, YANG, Chaojie, LV, Ruiqing, YI, Dejiao, ZHUO, Guifu, LI, Yan, SHEN, Fujun, HOU, Rong, YUE, Bisong, and FAN, Zhenxin

Subjects
RED panda, GUT microbiome, MUCUS, MICROBIAL diversity, ANIMAL health, DIET, GASTROINTESTINAL diseases
Abstract

The red panda (Ailurus fulgens) is a distinctive mammal known for its reliance on a diet primarily consisting of bamboo. The gut microbiota and overall health of animals are strongly influenced by diets and environments. Therefore, conducting research to explore the taxonomical and functional variances within the gut microbiota of red pandas exposed to various dietary and environmental conditions could shed light on the dynamic complexities of their microbial communities. In this study, normal fecal samples were obtained from red pandas residing in captive and semi‐free environments under different dietary regimes and used for metabolomic, 16S rRNA, and metagenomic sequencing analysis, with the pandas classified into four distinct cohorts according to diet and environment. In addition, metagenomic sequencing was conducted on mucus fecal samples to elucidate potential etiological agents of disease. Results revealed an increased risk of gastrointestinal diseases in red pandas consuming bamboo shoots due to the heightened presence of pathogenic bacteria, although an increased presence of microbiota‐derived tryptophan metabolites appeared to facilitate intestinal balance. The red pandas fed bamboo leaves also exhibited a decrease in gut microbial diversity, which may be attributed to the antibacterial flavonoids and lower protein levels in leaves. Notably, red pandas residing in semi‐free environments demonstrated an enriched gut microbial diversity. Moreover, the occurrence of mucus secretion may be due to an increased presence of species associated with diarrhea and a reduced level of microbiota‐derived tryptophan metabolites. In summary, our findings substantiate the influential role of diet and environment in modulating the gut microbiota of red pandas, offering potential implications for improved captive breeding practices. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Tibetan Artemia (Crustacea: Anostraca) mitogenomic biodiversity and population demographics.

Author

Asem, Alireza, Yang, Chaojie, Mahmoudi, Farnaz, Chen, Shao-Ying, Long, Ben-Chao, Wang, Bo, Fu, Chun-Zheng, Hontoria, Francisco, Rogers, D Christopher, and Gajardo, Gonzalo

Subjects
*ARTEMIA, *CRUSTACEA, *TIBETANS, *SALT lakes, *ENDEMIC species, *ECOSYSTEMS
Abstract

Hypersaline lakes in arid and semi-arid areas are unique ecosystems that harbour unique extremophile organisms such as Artemia , the paradigmatic example of adaptation to harsh living conditions. We assessed the mitogenomic biodiversity of Artemia species from the Tibetan Plateau, China, a remote and yet minimally disturbed ecosystem with a variety of hypersaline lakes. Analysis of ten Tibetan salt lakes demonstrated the occurrence of two regionally endemic species, Artemia tibetiana and Artemia sorgeloosi , with the latter being the dominant species with eight localities. Both species coexist in Jingyu and Jibu lakes, representing the first case of natural distribution overlap between sexual Artemia species. Artemia sorgeloosi exhibits higher genetic diversity and interpopulation differences, a result consistent with the heterogeneity of local salt lakes, local Artemia population demographics, and their adaptive potentials. Significant F ST values demonstrate a gene flow barrier between A. sorgeloosi populations that is compatible with an 'island biogeography' distribution pattern, making the Tibetan Plateau a sort of natural laboratory to study intraspecific population differences. Artemia sorgeloosi and the exotic Artemia franciscana were found coexisting in Yangnapen Lake, demonstrating the ability of this invasive species to colonize high-altitude inland habitats, and the need to monitor its presence and eventual expansion. [ABSTRACT FROM AUTHOR]

Published
2024
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