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Book ; Online: Hidden Single-Qubit Topological Phase Transition without Gap Closing in Anisotropic Light-Matter Interactions

Ying, Zu-Jian

2021

Abstract: Conventionally the occurrence of topological phase transitions (TPTs) requires gap closing, whereas there are also unconventional cases without need of gap closing. Although traditionally TPTs lie in many-body systems in condensed matter, both cases of ... ...

Abstract	Conventionally the occurrence of topological phase transitions (TPTs) requires gap closing, whereas there are also unconventional cases without need of gap closing. Although traditionally TPTs lie in many-body systems in condensed matter, both cases of TPTs may find analogs in few-body systems. Indeed, the ground-state node number provides a topological classification for single-qubit systems. While the no-node theorem of spinless systems is shown to also restrict the fundamental quantum Rabi model in light-matter interactions, it is demonstrated that the limitation of the no-node theorem can be broken not only in a small counter-rotating term (CRT) but also in the large-CRT regime, which striates a rich phase diagram with different TPTs. While these transitions are mostly accompanied with gap closing and parity reversal, a hidden node-phase transition is revealed that has neither gap closing nor parity change, which turns out to be an analog of the unconventional TPT in condensed matter. A hysteresis sign for the unconventional TPT is unveiled via the transition from amplitude squeezing to phase squeezing in the gapped phase. The imprints in the Wigner function are also addressed. The clarified mechanisms provide some special insights for the subtle role of the CRT. Comment: 13 pages, 6 figures
Keywords	Quantum Physics
Subject code	612
Publishing date	2021-12-25
Publishing country	us
Document type	Book ; Online
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Article ; Online: Coevolutionary dynamics of host-pathogen interaction with density-dependent mortality.

Yang, Yantao / Ma, Chaojing / Zu, Jian

Journal of mathematical biology

2022 Volume 85, Issue 2, Page(s) 15

Abstract: This study explores the coevolutionary dynamics of host-pathogen interaction based on a susceptible-infected population model with density-dependent mortality. We assume that both the host's resistance and the pathogen's virulence will adaptively evolve, ...

Abstract	This study explores the coevolutionary dynamics of host-pathogen interaction based on a susceptible-infected population model with density-dependent mortality. We assume that both the host's resistance and the pathogen's virulence will adaptively evolve, but there are inevitable costs in terms of host birth rate and disease-related mortality rate. Particularly, it is assumed that both the host resistance and pathogen virulence can affect the transmission rate. By using the approach of adaptive dynamics and numerical simulation, we find that the finally coevolutionary outcome depends on the strength of host-pathogen asymmetric interaction, the curvature of trade-off functions, and the intensity of density-dependent natural mortality. To be specific, firstly, we find that if the strengths of host-pathogen asymmetric interaction and disease-related mortality are relatively weak, or the density-dependent natural mortality is relatively strong, then the host resistance and pathogen virulence will evolve to a continuously stable strategy. However, if the strength of host-pathogen asymmetric interaction and disease-related mortality becomes stronger, then the host resistance and pathogen virulence will evolve periodically. Secondly, we find that if the intensities of both the birth rate trade-off function and the density-dependent natural mortality are relatively weak, but the strength of host-pathogen asymmetric interaction becomes relatively strong, then the evolution of host resistance will have a relatively strongly accelerating benefit, the evolutionary branching of host resistance will first arise. However, if the strength of host-pathogen asymmetric interaction is relatively weak, but the intensity of the trade-off function of disease-related mortality becomes relatively strong, then the evolution of pathogen virulence will have a relatively strongly decelerating cost, and the evolutionary branching of pathogen virulence will first arise. Thirdly, after the evolutionary branching of host resistance and pathogen virulence, we further study the coevolutionary dynamics of two-hosts-one-pathogen interaction and one-host-two-pathogens interaction. We find that if the evolutionary branching of host resistance arises firstly, then the finally evolutionary outcome contains a dimorphic host and a monomorphic pathogen population. If the evolutionary branching of pathogen virulence arises firstly, then the finally evolutionary outcome may contain a monomorphic host and a dimorphic pathogen population.
MeSH term(s)	Biological Evolution ; Computer Simulation ; Host-Pathogen Interactions ; Models, Biological ; Virulence
Language	English
Publishing date	2022-07-25
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	187101-8
ISSN	1432-1416 ; 0303-6812
ISSN (online)	1432-1416
ISSN	0303-6812
DOI	10.1007/s00285-022-01782-8
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Zs.A 1495: Show issues

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Article ; Online: Modeling and simulation of spatial-temporal calcium distribution in T lymphocyte cell by using a reaction-diffusion equation.

Naik, Parvaiz Ahmad / Zu, Jian

Journal of bioinformatics and computational biology

2020 Volume 18, Issue 2, Page(s) 2050013

Abstract: T lymphocytes are white blood cells that play a central role in cell-mediated immunity. ... ...

Abstract	T lymphocytes are white blood cells that play a central role in cell-mediated immunity. Ca
Language	English
Publishing date	2020-05-06
Publishing country	Singapore
Document type	Journal Article
ZDB-ID	2115015-1
ISSN	1757-6334 ; 0219-7200
ISSN (online)	1757-6334
ISSN	0219-7200
DOI	10.1142/S0219720020500134
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Article ; Online: Removal behavior of Zn and alkalis from blast furnace dust in pre-reduction sinter process

Zhao Guiqing / Li Ruoyan / Xing Xiangdong / Ju Jiantao / Li Xinyi / Zu Jian

Green Processing and Synthesis, Vol 12, Iss 1, Pp 38-

2023 Volume 44

Abstract: In this study, iron concentrate and blast furnace dust were used as raw materials, and graphite was used as a reducing agent for mixing and briquetting. The briquettes were roasted in a high-temperature tube furnace at different temperatures and held for ...

Abstract	In this study, iron concentrate and blast furnace dust were used as raw materials, and graphite was used as a reducing agent for mixing and briquetting. The briquettes were roasted in a high-temperature tube furnace at different temperatures and held for a certain time to simulate the pre-reduction sintering process. The effects of dust content, reduction time, and reduction temperature on the removal rate of zinc, potassium, and sodium and the metallization rate of the pre-reduction sintered products were investigated. The reduced briquettes were characterized by X-ray diffraction, scanning electron microscopy-energy dispersive spectroscopy, and flame atomic absorption spectroscopy to further explore the mechanisms of zinc, potassium, and sodium removal. The Zn removal rate and metallization rate increased gradually with the increase in dust content, reaching 97.57% and 87.14% at 30% dust content, respectively. Both K and Na removal rates reached a maximum of 83.57% and 94.78%, respectively, at 25% dust content. With the increase in reduction time and temperature, the removal rate of the three elements and the metallization rate gradually increased. When the briquettes with 20% blast furnace (BF) dust content were reduced at 1,200℃ for 20 min, the removal rates of zinc, potassium, and sodium reached 95.66%, 79.97%, and 91.49%, respectively, and the metallization rate reached 84.77%. It shows that the pre-reduction sintering process can effectively remove Zn, K, and Na from the BF dust and meet the requirements of subsequent BF production. The research results can provide some theoretical basis for industrial production.
Keywords	pre-reduction sinter ; blast furnace dust ; removal rate ; metallization rate ; removal mechanism ; Chemistry ; QD1-999
Subject code	660
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	De Gruyter
Document type	Article ; Online
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Article ; Online: Critical Quantum Metrology in the Non-Linear Quantum Rabi Model.

Ying, Zu-Jian / Felicetti, Simone / Liu, Gang / Braak, Daniel

Entropy (Basel, Switzerland)

2022 Volume 24, Issue 8

Abstract: The quantum Rabi model (QRM) with linear coupling between light mode and qubit exhibits the analog of a second-order phase transition for vanishing mode frequency which allows for criticality-enhanced quantum metrology in a few-body system. We show that ... ...

Abstract	The quantum Rabi model (QRM) with linear coupling between light mode and qubit exhibits the analog of a second-order phase transition for vanishing mode frequency which allows for criticality-enhanced quantum metrology in a few-body system. We show that the QRM including a nonlinear coupling term exhibits much higher measurement precisions due to its first-order-like phase transition at
Language	English
Publishing date	2022-07-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e24081015
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Article ; Online: The review of differential equation models of HBV infection dynamics.

Li, Miaolei / Zu, Jian

Journal of virological methods

2019 Volume 266, Page(s) 103–113

Abstract: Understanding the infection and pathogenesis mechanism of hepatitis B virus (HBV) is very important for the prevention and treatment of hepatitis B. Mathematical models contribute to illuminate the dynamic process of HBV replication in vivo. Therefore, ... ...

Abstract	Understanding the infection and pathogenesis mechanism of hepatitis B virus (HBV) is very important for the prevention and treatment of hepatitis B. Mathematical models contribute to illuminate the dynamic process of HBV replication in vivo. Therefore, in this paper we review the viral dynamics in HBV infection, which may help us further understand the dynamic mechanism of HBV infection and efficacy of antiviral treatment. Firstly, we introduce a family of deterministic models by considering different biological mechanisms, such as, antiviral therapy, CTL immune response, multi-types of infected hepatocytes, time delay and spatial diffusion. Particularly, we briefly describe the stochastic models of HBV infection. Secondly, we introduce the commonly used parameter estimation methods for HBV viral dynamic models and briefly discuss how to use these methods to estimate unknown parameters (such as drug efficacy) through two specific examples. We also discuss the idea and method of model identification and use a specific example to illustrate its application. Finally, we propose three new research programs, namely, considering HBV drug-resistant strain, coupling within-host and between-host dynamics in HBV infection and linking population dynamics with evolutionary dynamics of HBV diversity.
MeSH term(s)	Antiviral Agents/therapeutic use ; DNA, Viral ; Hepatitis B/drug therapy ; Hepatitis B/virology ; Hepatitis B virus/genetics ; Hepatitis B virus/physiology ; Humans ; Models, Theoretical ; Virus Replication
Chemical Substances	Antiviral Agents ; DNA, Viral
Language	English
Publishing date	2019-02-01
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	8013-5
ISSN	1879-0984 ; 0166-0934
ISSN (online)	1879-0984
ISSN	0166-0934
DOI	10.1016/j.jviromet.2019.01.014
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Zs.A 1565: Show issues

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Article ; Online: Adsorption of Zn(II) from aqueous solution and separation of zinc isotopes by displacement chromatography using chelating adsorbent.

Zu, Jian-Hua / Pan, Xiao-Han / Su, Xing-Dong / Liu, Feng / Zhan, Jie / He, Ye / Chen, Jiu-Geng

Journal of chromatography. A

2024 Volume 1717, Page(s) 464659

Abstract: The removal of zinc ions (Zn(II)) in water and the separation of zinc isotopes were fully investigated in this study. Imidodiacetic acid (IDA) type adsorbent (named PSGI) based on polystyrene spheres (PS) was synthesized by simultaneous irradiation ... ...

Abstract	The removal of zinc ions (Zn(II)) in water and the separation of zinc isotopes were fully investigated in this study. Imidodiacetic acid (IDA) type adsorbent (named PSGI) based on polystyrene spheres (PS) was synthesized by simultaneous irradiation grafting. By adsorption method, the removal of Zn(II) from water by the chelating adsorbent was studied in batch experiments. Under optimized condition, PSGI showed the removal efficiency of more than 98 % for Zn(II) and the adsorption capacity of 70.1 mg/g. Langmuir isothermal and pseudo-second-order kinetic model fitted the experimental results better, indicating that the adsorption is dominated by chemical adsorption. The spent adsorbent (PSGI-Zn) was used for further zinc isotope separation by displacement chromatography using EDTA-NH
MeSH term(s)	Zinc Isotopes/analysis ; Adsorption ; Zinc/chemistry ; Chelating Agents/analysis ; Water/chemistry ; Water Pollutants, Chemical/analysis ; Kinetics ; Hydrogen-Ion Concentration
Chemical Substances	Zinc Isotopes ; Zinc (J41CSQ7QDS) ; Chelating Agents ; Water (059QF0KO0R) ; Water Pollutants, Chemical
Language	English
Publishing date	2024-01-20
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1171488-8
ISSN	1873-3778 ; 0021-9673
ISSN (online)	1873-3778
ISSN	0021-9673
DOI	10.1016/j.chroma.2024.464659
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Zs.A 813: Show issues

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Article ; Online: Existence and Uniqueness of Periodic Solution for Nonlinear Second-Order Ordinary Differential Equations

Zu Jian

Boundary Value Problems, Vol 2011, Iss 1, p

2011 Volume 192156

Abstract: We study periodic solutions for nonlinear second-order ordinary differential problem ... . By constructing upper and lower boundaries and using Leray-Schauder degree theory, we present a result about the ... ...

Abstract	We study periodic solutions for nonlinear second-order ordinary differential problem <graphic file="1687-2770-2011-192156-i1.gif"/> . By constructing upper and lower boundaries and using Leray-Schauder degree theory, we present a result about the existence and uniqueness of a periodic solution for second-order ordinary differential equations with some assumption.
Keywords	Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Mathematics ; DOAJ:Mathematics and Statistics
Language	English
Publishing date	2011-01-01T00:00:00Z
Publisher	Springer
Document type	Article ; Online
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Book ; Online: Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory

Geng, Ru / Gao, Yixian / Zhang, Hongkun / Zu, Jian

2022

Abstract: The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we study COVID-19 data interpretation and visualization using open-data sources for 351 cities and towns in Massachusetts from December 6, 2020 to September 25, ...

Abstract	The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we study COVID-19 data interpretation and visualization using open-data sources for 351 cities and towns in Massachusetts from December 6, 2020 to September 25, 2021. Because cities are embedded in rather complex transportation networks, we construct the spatio-temporal dynamic graph model, in which the graph attention neural network is utilized as a deep learning method to learn the pandemic transition probability among major cities in Massachusetts. Using the spectral graph wavelet transform (SGWT), we process the COVID-19 data on the dynamic graph, which enables us to design effective tools to analyze and detect spatio-temporal patterns in the pandemic spreading. We design a new node classification method, which effectively identifies the anomaly cities based on spectral graph wavelet coefficients. It can assist administrations or public health organizations in monitoring the spread of the pandemic and developing preventive measures. Unlike most work focusing on the evolution of confirmed cases over time, we focus on the spatio-temporal patterns of pandemic evolution among cities. Through the data analysis and visualization, a better understanding of the epidemiological development at the city level is obtained and can be helpful with city-specific surveillance. Comment: Accepted by IEEE Transactions on Signal and Information Processing over Networks
Keywords	Computer Science - Social and Information Networks ; Computer Science - Machine Learning ; Physics - Physics and Society
Subject code	006
Publishing date	2022-07-28
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: COVID-19 epidemic in New York City: development of an age group-specific mathematical model to predict the outcome of various vaccination strategies

Li, Miaolei / Zu, Jian / Zhang, Yue / Ma, Le / Shen, Mingwang / Li, Zongfang / Ji, Fanpu

Virol J. 2022 Dec., v. 19, no. 1 p.43-43

2022

Abstract: BACKGROUND: Since December 14, 2020, New York City (NYC) has started the first batch of COVID-19 vaccines. However, the shortage of vaccines is currently an inevitable problem. Therefore, optimizing the age-specific COVID-19 vaccination is an important ... ...

Abstract	BACKGROUND: Since December 14, 2020, New York City (NYC) has started the first batch of COVID-19 vaccines. However, the shortage of vaccines is currently an inevitable problem. Therefore, optimizing the age-specific COVID-19 vaccination is an important issue that needs to be addressed as a priority. OBJECTIVE: Combined with the reported COVID-19 data in NYC, this study aimed to construct a mathematical model with five age groups to estimate the impact of age-specific vaccination on reducing the prevalence of COVID-19. METHODS: We proposed an age-structured mathematical model and estimated the unknown parameters based on the method of Markov Chain Monte Carlo (MCMC). We also calibrated our model by using three different types of reported COVID-19 data in NYC. Moreover, we evaluated the reduced cumulative number of deaths and new infections with different vaccine allocation strategies. RESULTS: Compared with the current vaccination strategy in NYC, if we gradually increased the vaccination coverage rate for only one age groups from March 1, 2021 such that the vaccination coverage rate would reach to 40% by June 1, 2021, then as of June 1, 2021, the cumulative deaths in the 75–100 age group would be reduced the most, about 72 fewer deaths per increased 100,000 vaccinated individuals, and the cumulative new infections in the 0–17 age group would be reduced the most, about 21,591 fewer new infections per increased 100,000 vaccinated individuals. If we gradually increased the vaccination coverage rate for two age groups from March 1, 2021 such that the vaccination coverage rate would reach to 40% by June 1, 2021, then as of June 1, 2021, the cumulative deaths in the 65–100 age group would be reduced the most, about 36 fewer deaths per increased 100,000 vaccinated individuals, and the cumulative new infections in the 0–44 age group would be reduced the most, about 17,515 fewer new infections per increased 100,000 vaccinated individuals. In addition, if we had an additional 100,000 doses of vaccine for 0–17 and 75–100 age groups as of June 1, 2021, then the allocation of 80% to the 0–17 age group and 20% to the 75–100 age group would reduce the maximum numbers of new infections and deaths simultaneously in NYC. CONCLUSIONS: The COVID-19 burden including deaths and new infections would decrease with increasing vaccination coverage rate. Priority vaccination to the elderly and adolescents would minimize both deaths and new infections.
Keywords	COVID-19 infection ; Markov chain ; elderly ; mathematical models ; vaccination ; vaccines ; New York
Language	English
Dates of publication	2022-12
Size	p. 43.
Publishing place	BioMed Central
Document type	Article ; Online
ZDB-ID	2160640-7
ISSN	1743-422X
ISSN	1743-422X
DOI	10.1186/s12985-022-01771-9
Database	NAL-Catalogue (AGRICOLA)

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