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4,437 results on '"Jia, Qiang"'

67. Aspects of 5d Seiberg-Witten Theories on $\mathbb{S}^1$

Author

Jia, Qiang and Yi, Piljin

Subjects
High Energy Physics - Theory
Abstract

We study the infrared physics of 5d $\cal N=1$ Yang-Mills theories compactified on $\mathbb{S}^1$, with a view toward 4d and 5d limits. Global structures of the simplest Coulombic moduli spaces are outlined, with an emphasis on how multiple planar 4d Seiberg-Witten geometries are embedded in the cigar geometry of a single 5d theory on $\mathbb{S}^1$. The Coulomb phase boundaries in the decompactification limit are given particular attention and related to how the wall-crossings by 5d BPS particles turn off. On the other hand, the elliptic genera of magnetic BPS strings do wall-cross and retain the memory of 4d wall-crossings, which we review with the example of dP$_2$ theory. Along the way, we also offer a general field theory proof of the odd shift of electric charge on Sp$(k)_\pi$ instanton solitons, previously observed via geometric engineering for low-rank supersymmetric theories., Comment: 77 pages, 28 figures

Published
2021
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68. Dissipation-assisted preparation of steady spin-squeezed states of SiV centers

Author

Chen, Jia-Qiang, Qiao, Yi-Fan, Dong, Xing-Liang, Hei, Xin-Lei, and Li, Peng-Bo

Subjects
Quantum Physics
Abstract

We propose an efficient scheme for generating spin-squeezed states at steady state in a spin-mechanical hybrid system, where an ensemble of SiV centers are coupled to a strongly damped nanomechanical resonator. We show that,there exists a collective steady state in the system, which is exactly formed by the collective spin states plus the zero excitation state of the mechanical mode. The generation of the steady spin-squeezed state is based on a dissipative quantum dynamical process in which the mechanical dissipation plays a positive role but without destroying the target state. We demonstrate that the spin-squeezed steady state can be deterministically prepared via dissipative means, with the optimal spin squeezing up to 4/N in the ideal case, where N is the number of spins. This work provides a promising platform for quantum information processing and quantum metrology., Comment: 11 pages, 8 figures

Published
2021
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69. Collective radiance with NV centers coupled to nonlinear phononic waveguides

Author

Chen, Jia-Qiang, Qiao, Yi-Fan, Dong, Xing-Liang, Shen, Cai-Peng, Hei, Xin-Lei, and Li, Peng-Bo

Subjects
Quantum Physics
Abstract

Collective radiance is a fundamental phenomenon in quantum optics. However, these radiation effects remain largely unexplored in the field of quantum acoustics. In this work, we investigate the supercorrelated radiation effects in a nonlinear phononic waveguide that is coupled with NV centers. When the spin's frequency is below the scattering continuum but within the bound-state band of the phonon waveguide, a single NV center dissipates slowly, but two NV centers can exhibit a rapid exponential decay. When multiple NV spins are considered, supercorrelated radiance occurs at a rate N times faster than Dicke superradiance. The peak of the state distribution in supercorrelated radiance jumps directly from $|m=N/2\rangle$ to $|m=-N/2\rangle$, distinguished from the continuous shift of the peak in superradiance. This work provides deeper insight into the collective radiation effect and may find interesting applications in quantum information processing., Comment: 9 pages, 8 figures

Published
2021

85. SAPT: a synchrotron-based proton therapy facility in Shanghai

Author

Zhang, Man-Zhou, Li, De-Ming, Shen, Li-Ren, Zhang, Hai-Rong, Chen, Zhi-Ling, Du, Han-Wen, Gu, Ming, Li, Rui, Liu, De-Kang, Pu, Yue-Hu, Yu, Jun-Feng, Chen, Jian-Feng, Chen, Chu, Guo, Chun-Long, Guo, Hao, Jiang, Ge-Yang, Jiang, Zhi-Qiang, Jin, Lin, Li, Wen-Jing, Li, Xiu-Fang, Lin, Ye, Liu, Ming, Liu, Yong-Hao, Liu, Ya-Juan, Lv, Ming, Mi, Qing-Ru, Ouyang, Lian-Hua, Shi, Wei-Guo, Shu, Hang, Tang, Qi-Sheng, Wang, Kun, Wang, Zhi-Shan, Wu, Jun, Wu, Xiao-Bing, Xu, Jia-Qiang, Xu, Wen-Zhen, Yin, Chong-Xian, Yu, Cheng, Yuan, Ren-Xian, Yuan, Qi-Bing, Zhang, Hai-Qun, Zhang, Miao, Zhang, Wen-Zhi, Zhao, Li-Ying, Zhou, Wei-Min, Fang, Shou-Xian, Sun, Xi-Dong, and Zhao, Zhen-Tang

Published
2023
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86. Network meta-analysis of the efficacy and safety of monoclonal antibodies and traditional conventional dichotomous agents for chronic obstructive pulmonary disease

Author

Yu Xiong, Jia-qiang Hu, Hui-lin Tang, Zhi-xia Zhao, and Li-hong Liu

Subjects
network meta-analysis, COPD, monoclonal antibodies, Dupilumab, lung function, Medicine (General), R5-920
Abstract

IntroductionMonoclonal antibodies (mAbs) against cytokines and chemokines or their receptors promise to be a potential therapeutic option to address chronic obstructive pulmonary disease (COPD). We aim to provide a comprehensive literature review of the improvement in FEV1 and safety when comparing mAbs with conventional dichotomous agents.MethodsWe systematically searched 3 electronic databases (PubMed, EMBASE, and CENTRAL) up to August 1, 2023 to collect eligible randomized controlled trials (RCTs). A frequentist network meta-analysis using a random-effects model was deployed to calculate mean differences (MD) for FEV1, relative risk (RR) of treatment-emergent adverse events (TEAEs), and estimate the surface under cumulative rankings (SUCRA). A higher SUCRA indicates a better outcome.ResultsThis study included 23 RCTs involving a total of 20,853 patients. Overall, except for Dupilumab, mAbs did not significantly improve FEV1 compared to traditional conventional dichotomous agents. Among all the interventions included, Aclidinium bromide/Formoterol (AB/FF) (SUCRA 97.7%) ranked highest, followed by Umeclidinium/vilanterol (UMEC/VI) (SUCRA 93.5%), and Glycopyrrolate Formoterol Fumarate (GFF) (SUCRA 84.7%). Dupilumab (SUCRA 66.9%) ranked the fourth among all interventions but ranked the first among all the mAbs. Importantly, all mAbs demonstrated a good safety profile compared with placebo.ConclusionConsidering the improvement in FEV1 and its safety, the development of mAbs for COPD still holds significant clinical potential.Systematic review registrationPROSPERO, CRD42023452714.

Published
2024
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87. A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning

Author

Yu Xiong, Yu-Meng Liu, Jia-Qiang Hu, Bao-Qiang Zhu, Yuan-Kui Wei, Yan Yang, Xing-Wei Wu, and En-Wu Long

Subjects
type 2 diabetes mellitus, urinary tract infections, machine learning, predictive models, individualized therapy, Therapeutics. Pharmacology, RM1-950
Abstract

Patients with type 2 diabetes mellitus (T2DM) are at higher risk for urinary tract infections (UTIs), which greatly impacts their quality of life. Developing a risk prediction model to identify high-risk patients for UTIs in those with T2DM and assisting clinical decision-making can help reduce the incidence of UTIs in T2DM patients. To construct the predictive model, potential relevant variables were first selected from the reference literature, and then data was extracted from the Hospital Information System (HIS) of the Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital for analysis. The data set was split into a training set and a test set in an 8:2 ratio. To handle the data and establish risk warning models, four imputation methods, four balancing methods, three feature screening methods, and eighteen machine learning algorithms were employed. A 10-fold cross-validation technique was applied to internally validate the training set, while the bootstrap method was used for external validation in the test set. The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used to evaluate the performance of the models. The contributions of features were interpreted using the SHapley Additive ExPlanation (SHAP) approach. And a web-based prediction platform for UTIs in T2DM was constructed by Flask framework. Finally, 106 variables were identified for analysis from a total of 119 literature sources, and 1340 patients were included in the study. After comprehensive data preprocessing, a total of 48 datasets were generated, and 864 risk warning models were constructed based on various balancing methods, feature selection techniques, and a range of machine learning algorithms. The receiver operating characteristic (ROC) curves were used to assess the performances of these models, and the best model achieved an impressive AUC of 0.9789 upon external validation. Notably, the most critical factors contributing to UTIs in T2DM patients were found to be UTIs-related inflammatory markers, medication use, mainly SGLT2 inhibitors, severity of comorbidities, blood routine indicators, as well as other factors such as length of hospital stay and estimated glomerular filtration rate (eGFR). Furthermore, the SHAP method was utilized to interpret the contribution of each feature to the model. And based on the optimal predictive model a user-friendly prediction platform for UTIs in T2DM was built to assist clinicians in making clinical decisions. The machine learning model-based prediction system developed in this study exhibited favorable predictive ability and promising clinical utility. The web-based prediction platform, combined with the professional judgment of clinicians, can assist to make better clinical decisions.

Published
2024
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89. A Novel Hybrid Routing Algorithm for In-Network Compressive Sensing in Wireless Sensor Networks

Author

Jia, Qiang, Zhang, Yiyi, Guo, Peng, Zhang, Kui, Liu, Jiang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Dong, Jian, editor, and Zhang, Long, editor

Published
2023
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97. Enhancing the spin-photon coupling with a micromagnet

Author

Hei, Xin-Lei, Dong, Xing-Liang, Chen, Jia-Qiang, Shen, Cai-Peng, Qiao, Yi-Fan, and Li, Peng-Bo

Subjects
Quantum Physics, Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

Hybrid quantum systems involving solid-state spins and superconducting microwave cavities play a crucial role in quantum science and technology, but improving the spin-photon coupling at the single quantum level remains challenging in such systems. Here, we propose a simple technique to strongly couple a single solid-state spin to the microwave photons in a superconducting coplanar waveguide (CPW) cavity via a magnetic microsphere. We show that, strong coupling at the single spin level can be realized by virtual magnonic excitations of a nearby micromagnet. The spin-photon coupling strength can be enhanced up to typically four orders of magnitude larger than that without the use of the micromagnet. This work can find applications in quantum information processing with strongly coupled solid-state spin-photonic systems., Comment: 11 pages, 5 figures

Published
2021
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