4,060 results on '"Hao, Yi"'
Search Results
2. Forecasting the constraints on optical selection bias and projection effects of galaxy cluster lensing with multiwavelength data
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Zhou, Conghao, Wu, Hao-Yi, Salcedo, Andrés N., Grandis, Sebastian, Jeltema, Tesla, Leauthaud, Alexie, Costanzi, Matteo, Sunayama, Tomomi, Weinberg, David H., Zhang, Tianyu, Rozo, Eduardo, To, Chun-Hao, Bocquet, Sebastian, Varga, Tamas, and Kwiecien, Matthew
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
Galaxy clusters identified with optical imaging tend to suffer from projection effects, which impact richness (the number of member galaxies in a cluster) and lensing coherently. Physically unassociated galaxies can be mistaken as cluster members due to the significant uncertainties in their line-of-sight distances, thereby changing the observed cluster richness; at the same time, projection effects alter the weak gravitational lensing signals of clusters, leading to a correlated scatter between richness and lensing at a given halo mass. As a result, the lensing signals for optically selected clusters tend to be biased high. This optical selection bias problem of cluster lensing is one of the key challenges in cluster cosmology. Fortunately, recently available multiwavelength observations of clusters provide a solution. We analyze a simulated data set mimicking the observed lensing of clusters identified by both optical photometry and gas properties, aiming to constrain this selection bias. Assuming a redMaPPer sample from the Dark Energy Survey with South Pole Telescope Sunyaev-Zeldovich effect observations, we find that an overlapping survey of 1300 square deg, 0.2 < z < 0.65, can constrain the average lensing bias to an accuracy of 5 percent. This provides an exciting opportunity for directly constraining optical selection bias from observations. We further show that our approach can remove the optical selection bias from the lensing signal, paving the way for future optical cluster cosmology analyses., Comment: 16 pages, 5 figures. Submitted to PRD
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- 2023
3. Impact of Property Covariance on Cluster Weak lensing Scaling Relations
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Zhang, Zhuowen, Farahi, Arya, Nagai, Daisuke, Lau, Erwin T., Frieman, Joshua, Ricci, Marina, von der Linden, Anja, and Wu, Hao-yi
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present an investigation into a hitherto unexplored systematic that affects the accuracy of galaxy cluster mass estimates with weak gravitational lensing. Specifically, we study the covariance between the weak lensing signal, $\Delta\Sigma$, and the "true" cluster galaxy number count, $N_{\rm gal}$, as measured within a spherical volume that is void of projection effects. By quantifying the impact of this covariance on mass calibration, this work reveals a significant source of systematic uncertainty. Using the MDPL2 simulation with galaxies traced by the SAGE semi-analytic model, we measure the intrinsic property covariance between these observables within the 3D vicinity of the cluster, spanning a range of dynamical mass and redshift values relevant for optical cluster surveys. Our results reveal a negative covariance at small radial scales ($R \lesssim R_{\rm 200c}$) and a null covariance at large scales ($R \gtrsim R_{\rm 200c}$) across most mass and redshift bins. We also find that this covariance results in a $2-3\%$ bias in the halo mass estimates in most bins. Furthermore, by modeling $N_{\rm gal}$ and $\Delta\Sigma$ as multi-(log)-linear equations of secondary halo properties, we provide a quantitative explanation for the physical origin of the negative covariance at small scales. Specifically, we demonstrate that the $N_{\rm gal}$-$\Delta\Sigma$ covariance can be explained by the secondary properties of halos that probe their formation history. We attribute the difference between our results and the positive bias seen in other works with (mock)-cluster finders to projection effects. These findings highlight the importance of accounting for the covariance between observables in cluster mass estimation, which is crucial for obtaining accurate constraints on cosmological parameters.
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- 2023
4. Dark Energy Survey Year 1 Clusters are Consistent with Planck
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Salcedo, Andrés N., Wu, Hao-Yi, Rozo, Eduardo, Weinberg, David H., To, Chun-Hao, Sunayama, Tomomi, and Lee, Andy
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
The recent Dark Energy Survey Year 1 (DES-Y1) analysis of galaxy cluster abundances and weak lensing produced $\Omega_{\rm m}$ and $\sigma_8$ constraints in 5.6$\sigma$ tension with Planck. It is suggested in that work that this tension is driven by unmodelled systematics in optical cluster selection. We present a novel simulation-based forward modeling framework that explicitly incorporates cluster selection into its model predictions. Applying this framework to the DES-Y1 data we find consistency with Planck, resolving the tension found in the DES-Y1 analysis. An extension of this approach to the final DES data set will produce robust constraints on $\Lambda$CDM parameters and correspondingly strong tests of cosmological models., Comment: 6 pages, 2 figures, 1 table, Supplemental material with 2 figures. Submitted to Physical Review Letters
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- 2023
5. Decitabine cytotoxicity is promoted by dCMP deaminase DCTD and mitigated by SUMO-dependent E3 ligase TOPORS
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Carnie, Christopher J, Götz, Maximilian J, Palma-Chaundler, Chloe S, Weickert, Pedro, Wanders, Amy, Serrano-Benitez, Almudena, Li, Hao-Yi, Gupta, Vipul, Awwad, Samah W, Blum, Christian J, Sczaniecka-Clift, Matylda, Cordes, Jacqueline, Zagnoli-Vieira, Guido, D’Alessandro, Giuseppina, Richards, Sean L, Gueorguieva, Nadia, Lam, Simon, Beli, Petra, Stingele, Julian, and Jackson, Stephen P
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- 2024
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6. Not empty enough: a local void cannot solve the $H_0$ tension
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Huterer, Dragan and Wu, Hao-Yi
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Astrophysics - Cosmology and Nongalactic Astrophysics ,General Relativity and Quantum Cosmology - Abstract
We review arguably the simplest solution for the Hubble tension -- the possibility that we live in a void. In this scenario, the local Hubble constant $H_0$ is higher than the global value, thus potentially explaining why $H_0$ measured locally by the distance ladder including Type Ia supernovae (SNIa) would be larger than the value inferred from the cosmic microwave background and other cosmological probes. In addition, since the local supernova sample is sparse and highly inhomogeneous, the error bars in the local Hubble constant might be larger than previously estimated. These two effects -- local matter density and sample inhomogeneity -- constitute the sample variance (or the cosmic variance) of the local Hubble constant measurements. To investigate these effects explicitly, we have mocked up SNIa observations by exactly matching their actual spatial distribution in a large N-body simulation. We have then investigated whether the sample variance is large enough to explain the Hubble tension. The answer is resoundingly negative: the typical local variation in $H_0$ is far smaller than what would be required to explain the Hubble tension; the latter would require a 20-$\sigma$ deviation from the expected sample variance. Equivalently, the void required to explain the Hubble tension would need to be so empty ($\delta\approx-0.8$ on a scale 120 $h^{-1}{\rm Mpc}$) that it would be incompatible with the large-scale structure in a $\Lambda$CDM universe. Therefore, the possibility that we live in a void does not come close to explaining the Hubble tension., Comment: Invited chapter for the edited book Hubble Constant Tension (Eds. E. Di Valentino and D. Brout, Springer Singapore, expected in 2024)
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- 2023
7. Histone lactylation-ROS loop contributes to light exposure-exacerbated neutrophil recruitment in zebrafish
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Cheng-zeng Qiu, Ren Zhou, Hao-yi Zhang, Ling Zhang, Zong-jun Yin, and Da-long Ren
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Biology (General) ,QH301-705.5 - Abstract
Abstract Light serves as a crucial external zeitgeber for maintaining and restoring physiological homeostasis in most organisms. Disrupting of light rhythms often leads to abnormal immune function, characterized by excessive inflammatory responses. However, the underlying regulatory mechanisms behind this phenomenon remain unclear. To address this concern, we use in vivo imaging to establish inflammation models in zebrafish, allowing us to investigate the effects and underlying mechanisms of light disruption on neutrophil recruitment. Our findings reveal that under sustained light conditions (LL), neutrophil recruitment in response to caudal fin injury and otic vesicle inflammation is significantly increased. This is accompanied by elevated levels of histone (H3K18) lactylation and reactive oxygen species (ROS) content. Through ChIP-sequencing and ChIP‒qPCR analysis, we discover that H3K18 lactylation regulates the transcriptional activation of the duox gene, leading to ROS production. In turn, ROS further promote H3K18 lactylation, forming a positive feedback loop. This loop, driven by H3K18 lactylation-ROS, ultimately results in the over recruitment of neutrophils to inflammatory sites in LL conditions. Collectively, our study provides evidence of a mutual loop between histone lactylation and ROS, exacerbating neutrophil recruitment in light disorder conditions, emphasizing the significance of maintaining a proper light-dark cycle to optimize immune function.
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- 2024
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8. Harmonic oscillation analysis and stabilization method comparison of shunt active power filter in full compensation mode
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Zhilong Zhang, Hao Yi, Fang Zhuo, YuGuo Li, and Xin Jiang
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harmonics suppression ,power harmonic filters ,stability ,Electronics ,TK7800-8360 - Abstract
Abstract The harmonic compensation of SAPF (shunt active power filter) may trigger harmonic oscillation due to the interaction with grid impedance and non‐linear loads, which distorts the power quality. In previous research, the relevant mechanism has been studied. However, the SAPF generally employs complex harmonic detection algorithm, which significantly increases the computational demands. The SAPF in full compensation mode can effectively solve this problem. But the modification of harmonic detection link may change the oscillation mechanism and previous stabilization methods need to be re‐evaluated. Therefore, this paper establishes the small signal model of the SAPF system in full compensation mode and investigates its oscillation mechanism. It is revealed that harmonic compensation and passive resonance collectively induce the harmonic oscillation. Based on the model, the working mechanism and application performance of the main stabilization methods proposed in the past (harmonic virtual admittance and harmonic compensation canceling) are analyzed and compared. However, neither of them can achieve effective stabilization without sacrificing the performance of compensation. Consequently, the harmonic phase compensation method is proposed to achieve the stabilization of the SAPF system in full compensation mode without affecting normal compensation. Finally, simulations and experiments are performed to verify the mechanism analysis and proposed methods.
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- 2024
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9. Asymptotics of the deformed higher order Airy-kernel determinants and applications
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Xia, Jun, Hao, Yi-Fan, Xu, Shuai-Xia, Zhang, Lun, and Zhao, Yu-Qiu
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Mathematical Physics ,33E17, 34E05, 34M55, 41A60 - Abstract
We study the one-parameter family of Fredholm determinants $\det(I-\rho^2\mathcal{K}_{n,x})$, $\rho\in\mathbb{R}$, where $\mathcal{K}_{n,x}$ stands for the integral operator acting on $L^2(x,+\infty)$ with the higher order Airy kernel. This family of determinants represents a new universal class of distributions which is a higher order analogue of the classical Tracy-Widom distribution. Each of the determinants admits an integral representation in terms of a special real solution to the $n$-th member of the Painlev\'{e} II hierarchy. Using the Riemann-Hilbert approach, we establish asymptotics of the determinants and the associated higher order Painlev\'{e} II transcendents as $x\to -\infty$ for $0<|\rho|<1$ and $|\rho|>1$, respectively. In the case of $0<|\rho|<1$, we are able to calculate the constant term in the asymptotic expansion of the determinants, while for $|\rho|>1$, the relevant asymptotics exhibit singular behaviors. Applications of our results are also discussed, which particularly include asymptotic statistical properties of the counting function for the random point process defined by the higher order Airy kernel., Comment: 39 pages, 7 figures
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- 2023
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10. Robust Gaussian Process Regression method for efficient reaction pathway optimization: application to surface processes
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Fang, Wei, Zhu, Yu-Cheng, Cheng, Yi-Han, Hao, Yi-Ping, and Richardson, Jeremy O.
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Physics - Chemical Physics - Abstract
Simulation of surface processes is a key part of computational chemistry that offers atomic-scale insights into mechanisms of heterogeneous catalysis, diffusion dynamics, as well as quantum tunneling phenomena. The most common theoretical approaches involve optimization of reaction pathways, including semiclassical tunneling pathways (called instantons). However, the computational effort can be demanding, especially for instanton optimizations with ab initio electronic structure. Recently, machine learning has been applied to accelerate reaction-pathway optimization, showing great potential for a wide range of applications. However, previous methods suffer from practical issues such as unfavorable scaling with respect to the size of the descriptor, and were mostly designed for reactions in the gas phase. We propose an improved framework based on Gaussian process regression for general transformed coordinates, which can alleviate the size problem. The descriptor combines internal and Cartesian coordinates, which improves the performance for modeling surface processes. We demonstrate with eleven instanton optimizations in three example systems that the new approach makes ab initio instanton optimization significantly cheaper, such that it becomes not much more expensive than a classical transition-state theory calculation.
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- 2023
11. The Influence of Subhaloes on Host Halo Properties
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Mezini, Lorena, Fielder, Catherine E., Zentner, Andrew R., Mao, Yao-Yuan, Wang, Kuan, and Wu, Hao-Yi
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Astrophysics - Astrophysics of Galaxies ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Within the $\Lambda$CDM cosmology, dark matter haloes are comprised of both a smooth component and a population of smaller, gravitationally bound subhaloes. These components are often treated as a single halo when halo properties, such as density profiles, are extracted from simulations. Recent work has shown that density profiles change substantially when subhalo mass is excluded. In this paper, we expand on this result by analysing the change in three specific host halo properties -- concentration ($c_{\rm{NFW}}$), spin ($\lambda_{\rm Bullock}$), and shape ($c/a$), -- when calculated only from the smooth component of the halo. This analysis is performed on both Milky Way-mass haloes and cluster-mass haloes in high-resolution, zoom-in, $N$-body simulations. We find that when subhaloes are excluded the median value of (1) $c_{\rm{NFW}}$ is enhanced by $\approx 38 \pm 12\%$ and $\approx 88 \pm 7.7\%$ for Milky Way mass ($10^{12.1}\,\text{M}_\odot$) and cluster mass ($10^{14.8}\,\text{M}_\odot$) haloes respectively, (2) $\lambda_{\rm Bullock}$ is reduced for Milky Way mass by $\approx 16 \pm 6.8\%$ and cluster mass haloes by $\approx 32 \pm 8.9\%$. Additionally, with the removal of subhaloes, cluster mass haloes tend to become more spherical as the ratio of minor-to-major axis, $c/a$, increases by $\approx 12 \pm 4\%$, whereas Milky Way mass haloes remain approximately the same shape with $c/a$ changed by $\approx 1.2 \pm 5.6\%$. The fractional change of each of these properties depends primarily on the amount of mass that is removed from the halo system and, to a lesser extent, mass accretion history. Our findings demonstrate that the properties of the smooth components of dark matter haloes are biased relative to the total mass of the halo including subhaloes., Comment: Accepted to MNRAS 09/26/2023
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- 2023
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12. Dual-Assessment Driven Pruning: Iterative Optimizing Layer-wise Sparsity for Large Language Model.
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Qinghui Sun, Weilun Wang, Yanni Zhu, Shenghuan He, Hao Yi, Zehua Cai, and Hong Liu
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- 2024
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13. Not Empty Enough: A Local Void Cannot Solve the Tension
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Huterer, Dragan, Wu, Hao-Yi, Bambi, Cosimo, Series Editor, Bhattacharya, Dipankar, Series Editor, Cai, Yifu, Series Editor, Chen, Pengfei, Series Editor, Falanga, Maurizio, Series Editor, Pani, Paolo, Series Editor, Xu, Renxin, Series Editor, Yoshida, Naoki, Series Editor, Di Valentino, Eleonora, editor, and Brout, Dillon, editor
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- 2024
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14. Histone lactylation-ROS loop contributes to light exposure-exacerbated neutrophil recruitment in zebrafish
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Qiu, Cheng-zeng, Zhou, Ren, Zhang, Hao-yi, Zhang, Ling, Yin, Zong-jun, and Ren, Da-long
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- 2024
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15. POEMS syndrome with undetectable M-protein: a case report and literature review
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Xue, Han-Yue, Zhou, Lin, Yuan, Qin-Zhao, Zhang, Yang, Hao, Yi-Qun, Chen, Shao-Wei, Wang, Hong-Kun, and Wei, Fang
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- 2024
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16. Tryptophan fuels MYC-dependent liver tumorigenesis through indole 3-pyruvate synthesis
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Venkateswaran, Niranjan, Garcia, Roy, Lafita-Navarro, M. Carmen, Hao, Yi-Heng, Perez-Castro, Lizbeth, Nogueira, Pedro A. S., Solmonson, Ashley, Mender, Ilgen, Kilgore, Jessica A., Fang, Shun, Brown, Isabella N., Li, Li, Parks, Emily, Lopes dos Santos, Igor, Bhaskar, Mahima, Kim, Jiwoong, Jia, Yuemeng, Lemoff, Andrew, Grishin, Nick V., Kinch, Lisa, Xu, Lin, Williams, Noelle S., Shay, Jerry W., DeBerardinis, Ralph J., Zhu, Hao, and Conacci-Sorrell, Maralice
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- 2024
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17. Study on dynamic characteristics of cavitation in underwater explosion with large charge
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Yu, Jun, Zhang, Xian-pi, Hao, Yi, Chen, Ji-Ping, and Xu, Yuan-Qing
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- 2024
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18. Electron scale coherent structure as micro accelerator in the Earth’s magnetosheath
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Xie, Zi-Kang, Zong, Qiu-Gang, Yue, Chao, Zhou, Xu-Zhi, Liu, Zhi-Yang, He, Jian-Sen, Hao, Yi-Xin, Ng, Chung-Sang, Zhang, Hui, Yao, Shu-Tao, Pollock, Craig, Le, Guan, Ergun, Robert, and Lindqvist, Per-Arne
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- 2024
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19. Multi-omic profiling of clear cell renal cell carcinoma identifies metabolic reprogramming associated with disease progression
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Hu, Junyi, Wang, Shao-Gang, Hou, Yaxin, Chen, Zhaohui, Liu, Lilong, Li, Ruizhi, Li, Nisha, Zhou, Lijie, Yang, Yu, Wang, Liping, Wang, Liang, Yang, Xiong, Lei, Yichen, Deng, Changqi, Li, Yang, Deng, Zhiyao, Ding, Yuhong, Kuang, Yingchun, Yao, Zhipeng, Xun, Yang, Li, Fan, Li, Heng, Hu, Jia, Liu, Zheng, Wang, Tao, Hao, Yi, Jiao, Xuanmao, Guan, Wei, Tao, Zhen, Ren, Shancheng, and Chen, Ke
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- 2024
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20. Analysis and Optimization of Laying Process Parameters of Carbon Fiber Reinforced Thermoplastic Composites for Additive Manufacturing Using Robot
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Liu, Zhiqiang, Li, Yinqi, Hao, Yi, Ma, Zhihao, and Gu, Xianan
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- 2024
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21. Effect of different bottom blowing elements on stirring characteristics of molten bath in converter
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Lv, Ming, Chen, Shuang-ping, Guo, Hong-min, Hao, Yi-jie, and Xing, Xiang-dong
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- 2024
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22. Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys
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To, Chun-Hao, DeRose, Joseph, Wechsler, Risa H., Rykoff, Eli, Wu, Hao-Yi, Adhikari, Susmita, Krause, Elisabeth, Rozo, Eduardo, and Weinberg, David H.
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
We present the Cardinal mock galaxy catalogs, a new version of the Buzzard simulation that has been updated to support ongoing and future cosmological surveys, including DES, DESI, and LSST. These catalogs are based on a one-quarter sky simulation populated with galaxies out to a redshift of $z=2.35$ to a depth of $m_{\rm{r}}=27$. Compared to the Buzzard mocks, the Cardinal mocks include an updated subhalo abundance matching (SHAM) model that considers orphan galaxies and includes mass-dependent scatter between galaxy luminosity and halo properties. This model can simultaneously fit galaxy clustering and group--galaxy cross-correlations measured in three different luminosity threshold samples. The Cardinal mocks also feature a new color assignment model that can simultaneously fit color-dependent galaxy clustering in three different luminosity bins. We have developed an algorithm that uses photometric data to improve the color assignment model further and have also developed a novel method to improve small-scale lensing below the ray-tracing resolution. These improvements enable the Cardinal mocks to accurately reproduce the abundance of galaxy clusters and the properties of lens galaxies in the Dark Energy Survey data. As such, these simulations will be a valuable tool for future cosmological analyses based on large sky surveys. The cardinal mock will be released upon publication at https://chunhaoto.com/cardinalsim., Comment: 37 pages; 20 figures. See figure 1 for summary and appendix K for a list of main differences between Cardinal and Buzzard. To be submitted to APJ; Comments welcome. Highlights can be found at https://chunhaoto.com/cardinalsim
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- 2023
23. Research on a Monte Carlo global variance reduction method based on an automatic importance sampling method
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Hao, Yi-Sheng, Wu, Zhen, Gao, Shen-Shen, Qiu, Rui, Zhang, Hui, and Li, Jun-Li
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- 2024
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24. List of contributors
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Aizawa, Shin-Ichi, primary, Alberdi, Pilar, additional, Alexander, David C., additional, Alía, Alberto, additional, Allison, D.G., additional, Amyes, Sebastian G.B., additional, An, Haoran, additional, Andrade, María J., additional, Antelmann, Haike, additional, Arias, Cesar A., additional, Asensio, Miguel A., additional, Axell-House, Dierdre B., additional, Bae, Hee-Won, additional, Baena, Laura Muñoz, additional, Baig, Abdul Mannan, additional, Bailey, Spenser O., additional, Baize, Sylvain, additional, Baldi, Pablo C., additional, Barbosa, Angela Silva, additional, Barbuddhe, Sukhadeo B., additional, Bard, Emilie, additional, Barry, Eileen M., additional, Basarab, Gregory S., additional, Beloborodova, N.V, additional, Bermúdez, Elena, additional, Bidmos, Fadil A., additional, Bisgaard, Magne, additional, Blakely, Garry W., additional, Bloch, Evan, additional, Boesen, Thias Oberg, additional, Bose, Dipayan, additional, Botero, Javier Enrique, additional, Bouabe, Hicham, additional, Bouchard, Michael J., additional, Bozue, Joel A., additional, Bradbury, Richard S., additional, Brett Moreau, G., additional, Cabezas-Cruz, Alejandro, additional, Cai, Rong-Jun, additional, Calderón, Enrique J., additional, Cao, Boyang, additional, Carmena, David, additional, Carvalho, Eneas, additional, Caulfield, Amanda D., additional, Cen, Shan, additional, Chai, Jong-Yil, additional, Chamberland, Robin R., additional, Champredon, David, additional, Chan, Edward D., additional, Charbon, Godefroid, additional, Chato, Connor, additional, Chelomina, G.N., additional, Chen, Jingyu, additional, Chen, Min, additional, Chen, Shuyu, additional, Chen, Suilin, additional, Chen, Yanfei, additional, Chen, Zhaoyuan, additional, Cheng, Aimin, additional, Cheng, Keding, additional, Chiu, Charles Y., additional, Cho, You-Hee, additional, Christensen, Henrik, additional, Chrtdernevskaya, E.A., additional, Contreras, Adolfo, additional, Contreras, Marinela, additional, Córdoba, Juan J., additional, Córdoba, María G., additional, Costa, Rita, additional, Cote, Christopher K., additional, Cui, Xiangling, additional, Cui, Yujun, additional, Dacal, Elena, additional, Dammann, Allison N., additional, Das, Shubhagata, additional, Dashti, Alejandro, additional, de la Fuente, José, additional, de la Garza, Mireya, additional, Delgado, Josué, additional, Delgado-Cuesta, Juan, additional, Deng, Haiteng, additional, Deng, Li, additional, Dey, Debajit, additional, Dhama, Kuldeep, additional, Diego, Juan García-Bernalt, additional, Ding, Hao, additional, Doern, Christopher D., additional, Dorman, Charles J., additional, Du, Zongmin, additional, Dunbar, Sherry A., additional, Duthie, Malcolm, additional, Dybvig, Kevin F., additional, Eakin, Ann E., additional, Eallonardo, Samuel J., additional, Eberly, Allison R., additional, Echeverry, Adriana Jaramillo, additional, Egland, Paul G., additional, El Zowalaty, Mohamed E., additional, Endsley, Janice Jones, additional, Eom, Keeseon S., additional, Evans, Benjamin A., additional, Falkinham, Joseph O., additional, Feng, Siwei, additional, Feng, Yaoyu, additional, Feng, Zongdi, additional, Fernández-Soto, Pedro, additional, Ferreira, Roux-Cil, additional, Flores-Huerta, Nadia, additional, Foster, Timothy J., additional, Fox-Moon, Sandra M., additional, Fraga, Tatiana Rodrigues, additional, Fredricks, David N., additional, Freitag, Nancy E., additional, Frimodt-Møller, Jakob, additional, Fuller, Risa, additional, Ganesh, Balasubramanian, additional, Gao, Ning, additional, García-Carnero, Laura C., additional, Garzetti, Debora, additional, Geoghegan, Joan A., additional, Ghenim, Raed, additional, Giambartolomei, Guillermo H., additional, Gilbert, Nicole M., additional, Gillis, Thomas Phillip, additional, Gladstone, Camilla A., additional, Gómez-Gaviria, Manuela, additional, Gómez-Marín, Jorge E., additional, Gong, Tengfang, additional, González, Ramón A., additional, Gray-Owen, Scott D., additional, Gu, Bing, additional, Guzmán-Téllez, Paula, additional, Hajal, Caroline, additional, Han, Yanping, additional, Hao, Yi, additional, Harrington, Amanda T., additional, Harris, Jason B., additional, Harvill, Eric T., additional, Hasan, S. Saif, additional, He, Guang-Jun, additional, He, Yongqun, additional, Heffron, Jared D., additional, Hidalgo, Paloma, additional, Hindiyeh, Musa Y., additional, Hreha, Teri N., additional, Hu, Xiaoyu, additional, Huang, Guanghua, additional, Huang, Jiangqing, additional, Huang, Liang, additional, Huang, Shifeng, additional, Huang, Xingxu, additional, Huang, Xueting, additional, Huang, Yilun, additional, Huffman, Anthony, additional, Humphreys, Tricia L., additional, Hunstad, David A., additional, Inglis, Timothy J.J., additional, Isaac, Lourdes, additional, Jacobs, Samantha E., additional, Janowicz, Diane M., additional, Jeon, Hyeong-Kyu, additional, Ji, Quanjiang, additional, Jia, Qi, additional, Jia, Wei, additional, Jin, Shouguang, additional, Jneidi, Lama, additional, Jose, Shinsmon, additional, Jung, Bong-Kwang, additional, Kattan, Randa, additional, Kaushik, Rahul, additional, Khare, Reeti, additional, Kim, Eun Sook, additional, Kirn, Thomas J., additional, Koo, Hyun, additional, Köster, Pamela C., additional, Krause, Peter J., additional, Kumar, Sanjai, additional, Kupz, Andreas, additional, Lambert, P.A., additional, Lamont, Richard J., additional, Langford, Paul R., additional, Lebeaux, David, additional, Legname, Giuseppe, additional, Li, Bin, additional, Li, Chunhao, additional, Li, Fen, additional, Li, Jun, additional, Li, Lanjuan, additional, Li, Ruofan, additional, Li, Ruoyu, additional, Li, Ting, additional, Li, Yang-Yang, additional, Li, Yanhua, additional, Li, Zhuorong, additional, Liang, Xiaomeng, additional, Liao, Guojian, additional, Lin, Ping, additional, Ling, Yun, additional, Liu, Bo, additional, Liu, Dongyou, additional, Liu, Guohua, additional, Liu, Huidi, additional, Liu, Jiafeng, additional, Liu, Jintao, additional, Liu, Qi, additional, Liu, Shu-Lin, additional, Liu, Taiping, additional, Liu, Tongbao, additional, Liu, Wei, additional, Liu, Yan, additional, Liu, Yanni, additional, Liu, Yisong, additional, Liu, Yuan, additional, Løbner-Olesen, Anders, additional, Loeffelholz, Michael, additional, Lu, Hongzhou, additional, Luna, Brian, additional, Ma, Bingting, additional, Ma, Chengying, additional, Ma, Shuang, additional, Ma, TianLi, additional, Madan, Rajat, additional, Mahle, Rachael E., additional, Mahlen, Steven D., additional, Malik, Satya Veer Singh, additional, Malik, Yashpal Singh, additional, Malvy, Denis, additional, Mann, Barbara J., additional, Marasini, Daya, additional, Maris, Alexander S., additional, Marjomäki, Varpu, additional, Marjuki, Henju, additional, Martín, Alberto, additional, Martín, Irene, additional, Martínez-Castillo, Moisés, additional, Martínez-Pabón, María Cecilia, additional, Mathison, Blaine A., additional, Ma’ayeh, Showgy, additional, McDowell, Andrew, additional, McLaughlin, Stephanie E., additional, McSheffrey, Gordon G., additional, Medrano, Francisco J., additional, Meehan, Conor J., additional, Mehta, Dhwani, additional, Mejía-Oquendo, Manuela, additional, Melo-Cristino, José, additional, Mendoza-Barberá, Elena, additional, Meng, Xinan, additional, Merino, Susana, additional, Merritt, Adam J., additional, Miller, Steve, additional, Miller, William R., additional, Minamino, Tohru, additional, Mirzaei, Mohammadali Khan, additional, Mora-Montes, Héctor M., additional, Mortensen, Joel, additional, Mostafa, Heba H., additional, Muhsen, Khitam, additional, Mujahed, Ahlam, additional, Muro, Antonio, additional, Murphy, Olwen C., additional, Newton, Hayley J., additional, Nguyen, April H., additional, Nichols, Wright W., additional, Niu, Siqiang, additional, Núñez, Félix, additional, Obregon, Dasiel, additional, Okamoto, Akira, additional, Okutani, Akiko, additional, Olabode, Abayomi, additional, Omar, Muna, additional, Ong, Edison, additional, Ouyang, Zhiming, additional, Pacak, Christina A., additional, Pacheco-Yépez, Judith, additional, Palmer, John, additional, Pang, Xiaoli, additional, Paredes-Sabja, Daniel, additional, Peng, Zhong, additional, Peng, Zonggen, additional, Pérez-Nevado, Francisco, additional, Poon, Art, additional, Pospíšilová, Petra, additional, Potts, Caelin C., additional, Pu, Qinqin, additional, Pujic, Petar, additional, Qi, Rui, additional, Qian, Chenyun, additional, Qian, Liu, additional, Qin, Aiping, additional, Qu, Fen, additional, Rakin, Alexander, additional, Ramesh, Ashwin, additional, Ramirez, Mario, additional, Rao, Yu, additional, Ratner, Adam J., additional, Rawool, Deepak B., additional, Rehman, Asma, additional, Ren, Jie, additional, Ren, Ping, additional, Retchless, Adam C., additional, Robertson, Erle S., additional, Rodríguez, Alicia, additional, Rodriguez, Azucena, additional, Rodríguez-Medina, Carolina, additional, Rodriguez-Nava, Veronica, additional, Rohde, Manfred, additional, Romero-Rodríguez, Alba, additional, Rosales-Morgan, Gabriela, additional, Rosenkranz, Andrea L., additional, Ruiz-Moyano, Santiago, additional, Ruokolainen, Visa, additional, Sabateen, Ali, additional, Sahu, Radhakrishna, additional, Sails, Andrew, additional, Sang, Yu, additional, Santana, Clarissa H., additional, Santos, Jesus A., additional, Santos, Renato L., additional, Schmitz, Jonathan E., additional, Serrano-Luna, Jesús, additional, Shen, Jianzhong, additional, Shen, Zhangqi, additional, Shibayama, Mineko, additional, Shirtliff, Mark E., additional, Silva-Costa, Catarina, additional, Silva-Olivares, Angélica, additional, Singh, Niraj Kumar, additional, Šmajs, David, additional, Smith, Robert P., additional, Smith, Sophie, additional, Snyder, Lori A.S., additional, Song, Yinggai, additional, Soro, Aurea Simon, additional, Spearman, Paul, additional, Spellberg, Brad, additional, Sprague, Lisa D., additional, Stratton, Charles W., additional, Strenk, Susan M., additional, Strugnell, Richard A., additional, Sun, Keer, additional, Suo, Xun, additional, Suzuki-Hatano, Silveli, additional, Svärd, Staffan, additional, Talbot, Elizabeth A., additional, Tamez-Castrellón, Alma K., additional, Tan, Nie, additional, Tang, Cynthia Y., additional, Tang, Yi-Wei, additional, Tao, Jia, additional, Tao, Lili, additional, Terrero-Salcedo, David, additional, Tharmalingam, Jayaraman, additional, Thwe, Phyu M., additional, Tiamani, Kawtar, additional, Tomás, Juan M., additional, Topaz, Nadav, additional, Tsai, Ang-Chen, additional, Tsalik, Ephraim L., additional, Tuomanen, Elaine I., additional, Turenne, Christine Y., additional, Tyagi, Anuj, additional, Uprety, Priyanka, additional, Valour, Florent, additional, van Hensbergen, Vincent P., additional, Venkatesan, Arun, additional, Vergis, Jess, additional, Villar, Margarita, additional, Vollmer, Waldemar, additional, Waites, Ken B., additional, Wan, Xiu-Feng, additional, Wang, Guiqing, additional, Wang, Lijun, additional, Wang, Lin, additional, Wang, Linqi, additional, Wang, Xiangru, additional, Wang, Xin, additional, Wang, Xinjie, additional, Wang, Ya-Ting, additional, Wang, Yang, additional, Wang, Yating, additional, Weil, Ana A., additional, Welkos, Susan L., additional, Wengenack, Nancy L., additional, Westblade, Lars F., additional, Whitfield, Chris, additional, Wu, Hui, additional, Wu, Lijuan, additional, Wu, Min, additional, Wu, Yarong, additional, Wu, Zhaowei, additional, Xiang, Ye, additional, Xiao, Di, additional, Xiao, Li, additional, Xiao, Lihua, additional, Xu, Tao, additional, Xu, Wenyue, additional, Xu, Xinping, additional, Xue, Jinling, additional, Yadav, Jay Prakash, additional, Yan, Junxiang, additional, Yan, Yixin, additional, Yang, Changmei, additional, Yang, Ruifu, additional, Yang, Ying, additional, Yao, Kaihu, additional, Yao, Yu-Feng, additional, Yeakle, Kyle C., additional, Yu, Demin, additional, Yu, Hao, additional, Yu, Xue-Jie, additional, Yuan, Zhenghong, additional, Zai, Wenjing, additional, Zhang, Jianzhong, additional, Zhang, Jing-Ren, additional, Zhang, Lanyue, additional, Zhang, Lijie, additional, Zhang, Qiwei, additional, Zhang, Wenbao, additional, Zhang, Wenhong, additional, Zhang, Xinxin, additional, Zhao, Youbao, additional, Zhou, Chuanmin, additional, Zhu, Feng, additional, Zhu, Jingting, additional, and Zhu, Yongqun, additional
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- 2024
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25. CHITV: an updated combination treatment regimen for COVID-19
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Yan, Yixin, primary, Hao, Yi, additional, Ling, Yun, additional, and Lu, Hongzhou, additional
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- 2024
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26. Self-calibrating optical galaxy cluster selection bias using cluster, galaxy, and shear cross-correlations
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Zeng, Chenxiao, Salcedo, Andrés N., Wu, Hao-Yi, and Hirata, Christopher M.
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
The clustering signals of galaxy clusters are known to be powerful tools for self-calibrating the mass-observable relation and are complementary to cluster abundance and lensing. In this work, we explore the possibility of combining three correlation functions -- cluster lensing, the cluster-galaxy cross-correlation function, and the galaxy auto-correlation function -- to self-calibrate optical cluster selection bias, the boosted clustering and lensing signals in a richness-selected sample mainly caused by projection effects. We develop mock catalogues of redMaGiC-like galaxies and redMaPPer-like clusters by applying Halo Occupation Distribution (HOD) models to N-body simulations and using counts-in-cylinders around massive haloes as a richness proxy. In addition to the previously known small-scale boost in projected correlation functions, we find that the projection effects also significantly boost 3D correlation functions out to scales 100 $h^{-1} \mathrm{Mpc}$. We perform a likelihood analysis assuming survey conditions similar to that of the Dark Energy Survey (DES) and show that the selection bias can be self-consistently constrained at the 10% level. We discuss strategies for applying this approach to real data. We expect that expanding the analysis to smaller scales and using deeper lensing data would further improve the constraints on cluster selection bias., Comment: 12 pages, 10 figures; replaced to match published version
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- 2022
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27. Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing.
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Hao Yi, Bo Liu 0069, Bin Zhao 0006, and Enhai Liu
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- 2024
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28. Online Expansion of Multiple Mobile Emergency Energy Storage Vehicles Without Communication.
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Xiao Zhang, Hao Yi, Zhenxiong Wang, Ya Wen, Xin Jiang, and Fang Zhuo
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- 2024
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29. An Adaptive Stabilization Strategy for Harmonic Oscillation of SAPF Interacted With Nonlinear Load and Grid Impedance.
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Xin Jiang, Hao Yi, Fang Zhuo, and Li Yuguo
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- 2024
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30. Dynamic positioning for semi-submersible platform using stable fuzzy model predictive control.
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Min Wan, Jiadai Du, and Hao Yi
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- 2024
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31. Research on Railway Track Extraction Method Based on Edge Detection and Attention Mechanism.
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Yanbin Weng, Xiaobin Huang, Xiahu Chen, Jing He 0003, Zuochuang Li, and Hao Yi
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- 2024
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32. Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass
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Nadler, Ethan O., Mansfield, Philip, Wang, Yunchong, Du, Xiaolong, Adhikari, Susmita, Banerjee, Arka, Benson, Andrew, Darragh-Ford, Elise, Mao, Yao-Yuan, Wagner-Carena, Sebastian, Wechsler, Risa H., and Wu, Hao-Yi
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
We present Symphony, a compilation of $262$ cosmological, cold-dark-matter-only zoom-in simulations spanning four decades of host halo mass, from $10^{11}$$-$$10^{15}~M_{\mathrm{\odot}}$. This compilation includes three existing simulation suites at the cluster and Milky Way$-$mass scales, and two new suites: $39$ Large Magellanic Cloud-mass ($10^{11}~M_{\mathrm{\odot}}$) and $49$ strong-lens-analog ($10^{13}~M_{\mathrm{\odot}}$) group-mass hosts. Across the entire host halo mass range, the highest-resolution regions in these simulations are resolved with a dark matter particle mass of $\approx 3\times 10^{-7}$ times the host virial mass and a Plummer-equivalent gravitational softening length of $\approx 9\times 10^{-4}$ times the host virial radius, on average. We measure correlations between subhalo abundance and host concentration, formation time, and maximum subhalo mass, all of which peak at the Milky Way host halo mass scale. Subhalo abundances are $\approx 50\%$ higher in clusters than in lower-mass hosts at fixed sub-to-host halo mass ratios. Subhalo radial distributions are approximately self-similar as a function of host mass and are less concentrated than hosts' underlying dark matter distributions. We compare our results to the semianalytic model $\mathrm{\texttt{Galacticus}}$, which predicts subhalo mass functions with a higher normalization at the low-mass end and radial distributions that are slightly more concentrated than Symphony. We use $\mathrm{\texttt{UniverseMachine}}$ to model halo and subhalo star formation histories in Symphony, and we demonstrate that these predictions resolve the formation histories of the halos that host nearly all currently observable satellite galaxies in the universe. To promote open use of Symphony, data products are publicly available at http://web.stanford.edu/group/gfc/symphony., Comment: 39 pages, 20 figures, 2 tables. Updated to published version
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- 2022
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33. Hardware Acceleration for SLAM in Mobile Systems
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Fan, Zhe, Hao, Yi-Fan, Zhi, Tian, Guo, Qi, and Du, Zi-Dong
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- 2023
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34. BiAlO3-modified BiFeO3–BaTiO3 high Curie temperature lead-free piezoelectric ceramics with enhanced performance
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Zhou, Xiao-Xiao, Tang, Yu-Cheng, Li, He-Zhang, Hao, Yi-Jin, Xue, Meng-Ping, Pei, Jun, Peng, Xiao-Yan, and Zhang, Bo-Ping
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- 2023
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35. Six- and five-coordinated Cr3+ in Ga2GeO5 invokes tunable broadband near-infrared emission toward night-vision applications
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Peng, Chao-Yue, Wang, Bo, Yuan, Li-Fang, Hu, Kai-Ge, Chen, Geng, Wu, Hao-Yi, Hu, Yi-Hua, and Jin, Ya-Hong
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- 2023
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36. Research advances of obinutuzumab in the treatment of membranous nephropathy
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Xiao-jing Lin, Jing Sun, Hao-yi Xiangli, and Xuan-yi Du
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membranous nephropathy ,phospholipase a2 receptors ,nephrotic syndrome ,Internal medicine ,RC31-1245 - Abstract
Membranous nephropathy (MN) is a common cause of adult nephrotic syndrome. Rituximab, a type Ⅰ anti-CD20 monoclonal antibody, is an effective treatment of MN. However, its response rate is merely 60% during a follow-up period of up to 24 months. Obinutuzumab is a type Ⅱ humanized anti-CD20 monoclonal antibody modified by glycosylation. As compared with rituximab, it can cause a more severe depletion of B lymphocyte so as to demonstrate a better efficacy for some hematological malignancies. Currently obinutuzumab is applied for lupus nephritis and kidney transplantation. Based upon its definite efficacy, some centers have promoted using obinutuzumab for MN. This review summarized the clinical application of obinutuzumab.
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- 2024
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37. Analysis and stabilization for full harmonic compensation oscillation in SAPF system with source current direct control
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Yihan Xie, Hao Yi, Fang Zhuo, Yuguo Li, Xin Jiang, and Zhilong Zhang
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active filters ,harmonics ,oscillations ,stability ,Electronics ,TK7800-8360 - Abstract
Abstract Shunt active power filter (SAPF) has emerged as a promising solution for mitigating harmonic distortions. Due to the interaction between the current inner‐loop of SAPF, source impedance and non‐linear loads, harmonic oscillation issue arises and adversely affects the stability of the system, thus in turn exacerbating the harmonic distortion. However, previous studies paid less attention to the value of phase adjustment in improving the dynamic behaviour of the loop and thus stabilizing harmonic oscillation. Taking the dynamic characteristics between source impedance and non‐linear load into consideration, this paper models and analyzes the SAPF system with source current direct control to reveal the law of full harmonic compensation oscillation. Based on the analysis, an enhanced phase adjustment strategy using load current feedforward is proposed and designed to stabilize harmonic oscillation, while maintaining a favourable trade‐off between stability and harmonic compensation performance. The small‐signal model validated for stability analysis and the effectiveness of proposed stabilization strategy are verified by simulation and experiment.
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- 2024
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38. Ceramic shell fabrication via Stereo Lithography Apparatus: Recent progress on cracking problems and preventive measures
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Zhihui Li, Yaozhong Zhang, Xiaoyan Chen, Liangliang Lu, Hao Yi, Lan Cheng, Qingxiao Yu, Jinsong Ma, Jianying Yang, Fan Peng, Longjiang Zhang, and Fei Li
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Investment casting ,3D printing ,Cracking problem ,SLA phototype ,Sintering process ,Mining engineering. Metallurgy ,TN1-997 - Abstract
Stereo Lithography Apparatus (SLA) has demonstrated improvements on surface-roughness and dimensional-accuracy of the precision casting prototypes in recent years, which however is still far from being satisfactory in industrial. One primary problem is the easy crack of the ceramic shell at sintering process originated from the high thermal expansion coefficient of the photosensitive resin. Herein, this paper aims to find a solution for the cracking problem of the SLA-prototyped ceramic shells. This paper introduces recent studies mainly focusing on the aspect of photosensitive resin modification, the hollow structure improvement inside the photosensitive resin prototype, the wax sheet pasting method on the weak part of ceramic shells, and the sintering process design of the photosensitive resin in ceramic shells. The performance of ceramic shells through these studies are evaluated, and a fundamental solution to the cracking problem of ceramic shells is thereafter prospected.
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- 2024
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39. Plane Geometry Diagram Parsing
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Zhang, Ming-Liang, Yin, Fei, Hao, Yi-Han, and Liu, Cheng-Lin
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Geometry diagram parsing plays a key role in geometry problem solving, wherein the primitive extraction and relation parsing remain challenging due to the complex layout and between-primitive relationship. In this paper, we propose a powerful diagram parser based on deep learning and graph reasoning. Specifically, a modified instance segmentation method is proposed to extract geometric primitives, and the graph neural network (GNN) is leveraged to realize relation parsing and primitive classification incorporating geometric features and prior knowledge. All the modules are integrated into an end-to-end model called PGDPNet to perform all the sub-tasks simultaneously. In addition, we build a new large-scale geometry diagram dataset named PGDP5K with primitive level annotations. Experiments on PGDP5K and an existing dataset IMP-Geometry3K show that our model outperforms state-of-the-art methods in four sub-tasks remarkably. Our code, dataset and appendix material are available at https://github.com/mingliangzhang2018/PGDP., Comment: Accepted to IJCAI 2022
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- 2022
40. Wire-arc directed energy deposition of metal using a tendon-driven soft robotic gun: prototyping and conceptual validation
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Yongzhe Li, Wenqi Zhong, Hao Yi, Xinlei Li, Qinghua Wang, Xianjun Pei, Xiaochao Liu, Yijun Zhou, and Xiaoyu Wang
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Wire-arc directed energy deposition ,soft robot ,omnidirectional metal deposition ,kinematic modelling ,trajectory planning ,Science ,Manufactures ,TS1-2301 - Abstract
Most directed energy deposition (DED) implementations employ a rigid end effector to deposit material layer-by-layer, which is insufficient in cases with space constraints. To enhance the flexibility, this paper proposes a novel soft-robotic gun (SRG) based DED technology. The ideology is to replace the rigid weld gun with a tendon-driven omnidirectional-steering continuum manipulator, which a computer can numerically control. To this end, both requirements and concepts of the SRG-DED are introduced. A prototype system is designed and implemented before dedicated kinematic modelling and trajectory planning mechanisms are presented. As demonstrated by the experimental results, the developed trajectory planning algorithm improves the computational efficiency of tendon variables and enhances the consistency of trajectory tracking. The prototype system can deposit a complex path on an inclined substrate and fabricate a thin-wall component within a pipeline. The validation work confirms the feasibility and applicability of the prototype system for metal additive manufacturing applications.
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- 2024
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41. A novel model for directed energy deposition-arc based on in-order stacking of primitives
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Xiaowei Wang, Danyang Meng, Hao Yi, Zhaoyang Yan, Jun Xiao, and Shujun Chen
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Directed energy deposition-arc, planning process, forming accuracy, in-order stacking of primitives, theoretical, physical ,Science ,Manufactures ,TS1-2301 - Abstract
ABSTRACTTo address the issue of low accuracy of directed energy deposition-arc (DED-Arc) and expand its use in producing large-sized components, a novel concept called “in-order stacking of primitives” has been proposed. This concept aims to simplify the additive manufacturing (AM) planning process and improve forming accuracy. Experiments at the weld, layer, and block levels examined relationships between process parameters and primitive dimensions, offset distance, and interlayer lift height. Increasing heat and mass transfer significantly increased primitive width and surface roughness but had little effect on height variation (1.95-2.27 mm). The impact of offset distance on the forming precision for layer-level components varied by the stacking path used, with Zig-Zig level parts showing more deterioration than Zig-Zag level parts. Thermal equilibrium in block components was achieved within a critical height range of 88.2 to 112.0 mm. The stacking path has a substantial impact on the surface temperature and is a crucial factor for ensure accurate workpiece formation. This study establishes a physical relationship between component forming quality and process parameters through mathematical expressions that are supported by experimental results. Future research will focus on optimizing the physical model and refining the mathematical expressions.
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- 2024
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42. Modeling and application of droplet oscillation momentum for elucidating the development of surface roughness in wire-arc additive manufacturing
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Bo Yin, Meiguang Cao, Jin Huang, Long Shu, Hao Yi, Zhenhua Li, Liquan Jin, Chengheng Cai, and Changchang Yang
- Subjects
Wire-arc additive manufacturing ,droplet oscillation momentum ,control strategy ,molten pool fluctuation ,surface-forming quality ,Science ,Manufactures ,TS1-2301 - Abstract
ABSTRACTIn feedback control systems of wire-arc additive manufacturing (WAAM), timely adjustments before the occurrence of deviations (feedforward control) would reduce excessive requirements on the sensitivity and accuracy of characteristic parameters of control systems. However, the search for characteristic parameters suitable for feedforward control is extremely rare in the WAAM field. Herein, based on ‘mass-spring' theory, a model of droplet oscillation momentum (DOM) is developed to describe the dynamic behavior of a pendant droplet and its influencing mechanism on surface roughness. The model combines the contribution of wire movement to droplet displacement with experimental correction of the spring/damping coefficients. The results show that the predictions of the model are in good agreement with the experimental values, and DOM is quadratically correlated with the surface roughness. Therefore, the model can be expected as a characteristic parameter to elucidate the development of surface-forming quality of WAAM-fabricated components.
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- 2024
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43. Benefit of cardiac rehabilitation in acute heart failure patients with cognitive impairment
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Shyh-Ming Chen, Ming-Kung Wu, Ching Chen, Lin-Yi Wang, Nai-Wen Guo, Chin-Ling Wei, You-Cheng Zheng, Hao-Yi Hsiao, Po-Jui Wu, Yung-Lung Chen, Chien-Jen Chen, and Chi-Ling Hang
- Subjects
Cognitive impairment ,Cardiac rehabilitation ,Heart failure ,Mortality ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Aims: This study aimed to evaluate the prevalence of cognitive impairment among patients with acute heart failure (AHF), its prognosis, and the effects of cardiac rehabilitation (CR) on these patients' outcomes. Methods: Overall, 247 consecutive AHF patients (median age, 60 years; males, 78.5 %) were evaluated from March 2015 to May 2021. Patients received an AHF disease management program coordinated by an HF specialist nurse and underwent a Luria-Nebraska Neuropsychological battery-screening test (LNNB-S) assessment during admission. Cognitive impairment was defined as an LNNB-S score ≥10. Patients who underwent at least one session of phase II CR and continued with the home-based exercise program were considered to have received CR. The primary endpoint was composite all-cause mortality or readmission after a 3.30-year follow-up (interquartile range, 1.69–5.09 years). Results: Cognitive impairment occurred in 53.0 % and was associated with significantly higher composite endpoint, all-cause mortality, and readmission rates (p=
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- 2024
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44. Identification of SOCS3 and PTGS2 as new biomarkers for the diagnosis of gout by cross-species comprehensive analysis
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Jie Peng, Yawen Gu, Jiang Liu, Hao Yi, Dong Ruan, Haoyu Huang, Yuan Shu, Zhen Zong, Rui Wu, and Hui Li
- Subjects
Cross-species ,Gout ,Biomarkers ,Diagnostic ,SOCS3 ,PTGS2 ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Background: Gout is the most common inflammatory arthritis in adults. Gout is an arthritic disease caused by the deposition of monosodium urate crystal (MSU) in the joints, which can lead to acute inflammation and damage adjacent tissue. Hyperuricemia is the main risk factor for MSU crystal deposition and gout. With the increasing burden of gout disease, the identification of potential biomarkers and novel targets for diagnosis is urgently needed. Methods: For the analysis of this subject paper, we downloaded the human gout data set GSE160170 and the gout mouse model data set GSE190138 from the GEO database. To obtain the differentially expressed genes (DEGs), we intersected the two data sets. Using the cytohubba algorithm, we identified the key genes and enriched them through GO and KEGG. The gene expression trends of three subgroups (normal control group, intermittent gout group and acute gout attack group) were analyzed by Series Test of Cluster (STC) analysis, and the key genes were screened out, and the diagnostic effect was verified by ROC curve. The expression of key genes in dorsal root nerve and spinal cord of gout mice was analyzed. Finally, the clinical samples of normal control group, hyperuricemia group, intermittent gout group and acute gout attack group were collected, and the expression of key genes at protein level was verified by ELISA. Result: We obtained 59 co-upregulated and 28 co-downregulated genes by comparing the DEGs between gout mouse model data set and human gout data set. 7 hub DEGs(IL1B, IL10, NLRP3, SOCS3, PTGS2) were screened out via Cytohubba algorithm. The results of both GO and KEGG enrichment analyses indicate that 7 hub genes play a significant role in regulating the inflammatory response, cytokine production in immune response, and the TNF signaling pathway. The most representative hub genes SOCS3 and PTGS2 were screened out by Series Test of Cluster, and ROC analysis results showed the AUC values were both up to 1.000. In addition, we found that PTGS2 expression was significantly elevated in the dorsal root ganglia and spinal cord in monosodium urate(MSU)-induced gout mouse model. The ELISA results revealed that the expression of SOCS3 and PTGS2 was notably higher in the acute gout attack and intermittent gout groups compared to the normal control group. This difference was statistically significant, indicating a clear distinction between the groups. Conclusion: Through cross-species comprehensive analysis and experimental verification, SOCS3 and PTGS2 were proved to be new biomarkers for diagnosing gout and predicting disease progression.
- Published
- 2024
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45. LINNA: Likelihood Inference Neural Network Accelerator
- Author
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To, Chun-Hao, Rozo, Eduardo, Krause, Elisabeth, Wu, Hao-Yi, Wechsler, Risa H., and Salcedo, Andrés N.
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
Bayesian posterior inference of modern multi-probe cosmological analyses incurs massive computational costs. For instance, depending on the combinations of probes, a single posterior inference for the Dark Energy Survey (DES) data had a wall-clock time that ranged from 1 to 21 days using a state-of-the-art computing cluster with 100 cores. These computational costs have severe environmental impacts and the long wall-clock time slows scientific productivity. To address these difficulties, we introduce LINNA: the Likelihood Inference Neural Network Accelerator. Relative to the baseline DES analyses, LINNA reduces the computational cost associated with posterior inference by a factor of 8--50. If applied to the first-year cosmological analysis of Rubin Observatory's Legacy Survey of Space and Time (LSST Y1), we conservatively estimate that LINNA will save more than US $\$300,000$ on energy costs, while simultaneously reducing $\rm{CO}_2$ emission by $2,400$ tons. To accomplish these reductions, LINNA automatically builds training data sets, creates neural network surrogate models, and produces a Markov chain that samples the posterior. We explicitly verify that LINNA accurately reproduces the first-year DES (DES Y1) cosmological constraints derived from a variety of different data vectors with our default code settings, without needing to retune the algorithm every time. Further, we find that LINNA is sufficient for enabling accurate and efficient sampling for LSST Y10 multi-probe analyses. We make LINNA publicly available at https://github.com/chto/linna, to enable others to perform fast and accurate posterior inference in contemporary cosmological analyses., Comment: 21 pages, 12 figures, submitted to JCAP, comments are welcome
- Published
- 2022
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46. Optical selection bias and projection effects in stacked galaxy cluster weak lensing
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Wu, Hao-Yi, Costanzi, Matteo, To, Chun-Hao, Salcedo, Andrés N., Weinberg, David H., Annis, James, Bocquet, Sebastian, Pereira, Maria Elidaiana da Silva, DeRose, Joseph, Esteves, Johnny, Farahi, Arya, Grandis, Sebastian, Rozo, Eduardo, Rykoff, Eli S., Varga, Tamás N., Wechsler, Risa H., Zeng, Chenxiao, Zhang, Yuanyuan, and Zhang, Zhuowen
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Cosmological constraints from current and upcoming galaxy cluster surveys are limited by the accuracy of cluster mass calibration. In particular, optically identified galaxy clusters are prone to selection effects that can bias the weak lensing mass calibration. We investigate the selection bias of the stacked cluster lensing signal associated with optically selected clusters, using clusters identified by the redMaPPer algorithm in the Buzzard simulations as a case study. We find that at a given cluster halo mass, the residuals of redMaPPer richness and weak lensing signal are positively correlated. As a result, for a given richness selection, the stacked lensing signal is biased high compared with what we would expect from the underlying halo mass probability distribution. The cluster lensing selection bias can thus lead to overestimated mean cluster mass and biased cosmology results. We show that the lensing selection bias exhibits a strong scale-dependence and is approximately 20 to 60 percent for $\Delta\Sigma$ at large scales. This selection bias largely originates from spurious member galaxies within +/- 20 to 60 Mpc/h along the line of sight, highlighting the importance of quantifying projection effects associated with the broad redshift distribution of member galaxies in photometric cluster surveys. While our results qualitatively agree with those in the literature, accurate quantitative modelling of the selection bias is needed to achieve the goals of cluster lensing cosmology and will require synthetic catalogues covering a wide range of galaxy-halo connection models., Comment: 16 pages, 16 figures; replaced to match published version
- Published
- 2022
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47. Incorporating galaxy cluster triaxiality in stacked cluster weak lensing analyses
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Zhang, Zhuowen, Wu, Hao-Yi, Zhang, Yuanyuan, Frieman, Joshua, To, Chun-Hao, DeRose, Joseph, Costanzi, Matteo, Wechsler, Risa H., Adhikari, Susmita, Rykoff, Eli, Jeltema, Tesla, Evrard, August, and Rozo, Eduardo
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Counts of galaxy clusters offer a high-precision probe of cosmology, but control of systematic errors will determine the accuracy of this measurement. Using Buzzard simulations, we quantify one such systematic, the triaxiality distribution of clusters identified with the redMaPPer optical cluster finding algorithm, which was used in the Dark Energy Survey Year-1 (DES Y1) cluster cosmology analysis. We test whether redMaPPer selection biases the clusters' shape and orientation and find that it only biases orientation, preferentially selecting clusters with their major axes oriented along the line of sight. Modeling the richness-mass relation as a log-linear relation, we find that the log-richness amplitude $\ln(A)$ is boosted from the lowest to highest orientation bin with a significance of $14\sigma$, while the orientation dependence of the richness-mass slope and intrinsic scatter is minimal. We also find that the weak lensing shear-profile ratios of cluster-associated dark halos in different orientation bins resemble a "bottleneck" shape that can be quantified with a Cauchy function. We test the correlation of orientation with two other leading systematics in cluster cosmology -- miscentering and projection -- and find a null correlation. Analytic templates for the triaxiality bias of observed-richness and lensing profiles are mapped as corrections to the observable of richness-binned lensing profiles for redMaPPer clusters. The resulting mass bias confirms the DES Y1 finding that triaxiality is a leading source of bias in cluster cosmology. However, the richness-dependence of the bias confirms that triaxiality does not fully resolve the tension at low-richness between DES Y1 cluster cosmology and other probes. Our model can be used for quantifying the impact of triaxiality bias on cosmological constraints for upcoming weak lensing surveys of galaxy clusters.
- Published
- 2022
- Full Text
- View/download PDF
48. TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm
- Author
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Hao, Yi, Jain, Ayush, Orlitsky, Alon, and Ravindrakumar, Vaishakh
- Subjects
Statistics - Machine Learning ,Computer Science - Machine Learning ,Mathematics - Statistics Theory - Abstract
Approximating distributions from their samples is a canonical statistical-learning problem. One of its most powerful and successful modalities approximates every distribution to an $\ell_1$ distance essentially at most a constant times larger than its closest $t$-piece degree-$d$ polynomial, where $t\ge1$ and $d\ge0$. Letting $c_{t,d}$ denote the smallest such factor, clearly $c_{1,0}=1$, and it can be shown that $c_{t,d}\ge 2$ for all other $t$ and $d$. Yet current computationally efficient algorithms show only $c_{t,1}\le 2.25$ and the bound rises quickly to $c_{t,d}\le 3$ for $d\ge 9$. We derive a near-linear-time and essentially sample-optimal estimator that establishes $c_{t,d}=2$ for all $(t,d)\ne(1,0)$. Additionally, for many practical distributions, the lowest approximation distance is achieved by polynomials with vastly varying number of pieces. We provide a method that estimates this number near-optimally, hence helps approach the best possible approximation. Experiments combining the two techniques confirm improved performance over existing methodologies., Comment: 19 pages, 12 figures
- Published
- 2022
49. Effect of Mo6+ induced valence changes of transition metal ions in Mn-rich layered cathode materials on electrochemical performance
- Author
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Shen, Junxiao, Hao, Yi, Yan, Yangxi, Li, Zhimin, Wang, Pangpang, Murakami, Ri-ichi, and Zhang, Dongyan
- Published
- 2024
- Full Text
- View/download PDF
50. Water flush boosts performance of elemental sulfur-based denitrification packed-bed systems: Optimization and mechanisms
- Author
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Xu, Jia-Min, Dong, Heng, Xu, Hao-Ran, Sun, Yi-Lu, Yu, Yang, Zhang, Li-Ying, Yi, Gen-Ping, He, Wen-Ke, Wu, Chang-Min, Wang, Ai-Jie, and Cheng, Hao-Yi
- Published
- 2024
- Full Text
- View/download PDF
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