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Book ; Online: Quasispins of vacancy defects in Ising chains with nearest- and next-to-nearest-neighbour interactions

Sun, Shijun / Ramirez, Arthur P. / Syzranov, Sergey

2023

Abstract: Motivated by frustrated magnets and quasi-one-dimensional magnetic materials, we study the magnetic properties of 1D Ising chains with nearest-neighbour (NN) and weaker next-to-nearest neighbour (NNN) interactions in the presence of vacancy defects. The ... ...

Abstract	Motivated by frustrated magnets and quasi-one-dimensional magnetic materials, we study the magnetic properties of 1D Ising chains with nearest-neighbour (NN) and weaker next-to-nearest neighbour (NNN) interactions in the presence of vacancy defects. The effect of a vacancy on the magnetic susceptibility of a spin chain is two-fold: it reduces the length of the chain by an effective ``vacancy size'' and may also act as a free spin, a ``quasispin'', with a Curie-type $\chi_\text{quasi}=\langle S^2\rangle/T$ contribution to the susceptibility. In chains with antiferromagnetic short-range order, the susceptibility of vacancy-free chains is exponentially suppressed at low temperatures, and quasispins dominate the effect of impurities on the chains' magnetic properties. For chains with antiferromagnetic NN interactions, the quasispin matches the value $\langle S^2\rangle=1$ of the Ising spins in the chain for ferromagnetic NNN interactions and vanishes for antiferromagnetic NNN interactions. For chains with ferromagnetic short-range order, quasispin effects are insignificant due to exponentially large low-temperature susceptibilities, and the dominant effect of a vacancy is effectively changing the length of the chain. Comment: 4+7 pages, 1+4 figures, 1 table
Keywords	Condensed Matter - Materials Science ; Condensed Matter - Disordered Systems and Neural Networks ; Condensed Matter - Mesoscale and Nanoscale Physics ; Condensed Matter - Statistical Mechanics ; Condensed Matter - Strongly Correlated Electrons
Subject code	530
Publishing date	2023-08-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Optimization Model of the Ecological Water Replenishment Scheme for Boluo Lake National Nature Reserve Based on Interval Two-Stage Stochastic Programming

Huang, Jin / Zhao, Lei / Sun, Shijun

Water. 2021 Apr. 07, v. 13, no. 8

2021

Abstract: In the present paper, an optimization model of the ecological water replenishment quantity of Boluo Lake wetland was constructed for ecological water replenishment in the Boluo Lake National Nature Reserve based on the interval two-stage stochastic ... ...

Abstract	In the present paper, an optimization model of the ecological water replenishment quantity of Boluo Lake wetland was constructed for ecological water replenishment in the Boluo Lake National Nature Reserve based on the interval two-stage stochastic programming (ITSP) method, which scientifically allocates the ecological water resources and enhances the utilization of flood resources in order to meet the minimum ecological water replenishment quantity requirement to meet the local economic and social water demand, to restore the wetland function of the reserve, and to improve the ecological environment. In addition, it considers the ecological service value of the reserve in order to achieve a shared increase in the ecological and economic benefits. The optimization model of the ecological water replenishment of Boluo Lake wetland considered the minimum ecological water replenishment as the objective function, while the water diversion capacity, water supply capacity, water diversion sequence, functional area, and ecological service value of the Lake bubble were utilized as constraints in order to restore the ecosystem function of the Boluo Lake National Nature Reserve. The results from the model revealed that the amount of ecological water replenishment was significantly reduced after optimization simulation, with the maximum reduction range in the ecological water replenishment being −100.00% and −74.58%. In addition, the total amount of flood diversion was significantly increased, and the flood resources could be fully utilized. Moreover, the recovery effect on the lake and pond functional areas was significant and compared much better to that prior to the ecological water replenishment, which was up to 2300.00% and 1987.59%. The ecological service value also increased significantly, and the rate of this increase was as high as 23.90% and 21.58%. In the present study, an optimization model was constructed for the ecological water replenishment of the Boluo Lake wetland supplement project based on the interval two-stage stochastic programming method, which would achieve the entire scope of ecological and economic benefits of the ecological water replenishment project by realizing the ecological system reconstruction and providing a feasible and reliable plan to the decision-makers.
Keywords	conservation areas ; decision making ; ecological function ; ecosystems ; lakes ; models ; water ; water supply ; wetlands
Language	English
Dates of publication	2021-0407
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w13081007
Database	NAL-Catalogue (AGRICOLA)

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Book ; Online: Interactions-disorder duality and critical phenomena in nodal semimetals, dilute gases and other systems

Sun, Shijun / Syzranov, Sergey

2021

Abstract: We investigate classes of interacting systems that allow for a mapping to disordered noninteracting systems. As we show, such a mapping is possible for interacting systems with a suppressed density of states at the chemical potential, leading to ... ...

Abstract	We investigate classes of interacting systems that allow for a mapping to disordered noninteracting systems. As we show, such a mapping is possible for interacting systems with a suppressed density of states at the chemical potential, leading to suppressed screening, and systems near BCS-type instabilities. The mapping can also be applied qualitatively to other classes of systems that are not exactly dual to each other. The established duality suggests a new approach to analytical and numerical studies of many-body and disorder-driven phenomena in a variety of systems and allows to predict, e.g., new phase transitions dual to the previously known ones. Using the established duality, we predict new disorder-driven transitions in nodal-line semimetals and systems with long-range hopping dual to, respectively, the BCS and BEC-vacuum transitions in interacting systems and new interaction-driven transitions dual to previously known non-Anderson disorder-driven transitions. The established principle can also be used to classify and describe phase transitions in dissipative systems described by non-Hermitian Hamiltonians. Comment: 14 pages, 8 figures
Keywords	Condensed Matter - Mesoscale and Nanoscale Physics ; Condensed Matter - Disordered Systems and Neural Networks ; Condensed Matter - Materials Science ; Condensed Matter - Quantum Gases ; Condensed Matter - Strongly Correlated Electrons
Subject code	530
Publishing date	2021-04-06
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Emergency of the plasmid co-carrying bla

Sun, Shijun / Cai, Meng / Wang, Qi / Wang, Shuyi / Zhang, Lin / Wang, Hui

Journal of global antimicrobial resistance

2023 Volume 36, Page(s) 26–32

Abstract: Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a prevalent issue in China, with its spread primarily attributed to the presence of the plasmid-borne carbapenemase genes, bla: Methods: In this study, the genomic and microbiological ... ...

Abstract	Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a prevalent issue in China, with its spread primarily attributed to the presence of the plasmid-borne carbapenemase genes, bla Methods: In this study, the genomic and microbiological characteristics of hybrid plasmids containing both bla Results: The newly identified plasmid was formed via IS26-mediated recombination and has been shown to be transferable to Escherichia coli. It substantially elevates the minimum inhibitory concentration (MIC) of meropenem by 4000-fold in E. coli, surpassing the MIC values observed in E. coli strains that carry either bla Conclusions: The increased antibiotic resistance brought by this novel fusion plasmid and its accompanying virulence factors pose a serious potential threat to human health and deserve our vigilance.
MeSH term(s)	Humans ; Klebsiella pneumoniae/genetics ; Escherichia coli/genetics ; Asian People ; Carbapenem-Resistant Enterobacteriaceae/genetics ; Meropenem/pharmacology ; Plasmids/genetics
Chemical Substances	Meropenem (FV9J3JU8B1)
Language	English
Publishing date	2023-11-30
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2710046-7
ISSN	2213-7173 ; 2213-7173
ISSN (online)	2213-7173
ISSN	2213-7173
DOI	10.1016/j.jgar.2023.11.008
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Crop Water-Saving Potential Based on the Stochastic Distance Function: The Case of Liaoning Province of China

Piao, Huilan / Cheng, Wanting / Liu, Haisheng / Lyu, Jie / Zhang, Xudong / Sun, Shijun

Water. 2022 Jan. 30, v. 14, no. 3

2022

Abstract: Scientific evaluation of crop water use efficiency is of great significance for ascertaining water-saving potential and realizing efficient utilization of water resources. In this paper, we calculated the water footprint of crop growth, pollution water ... ...

Abstract	Scientific evaluation of crop water use efficiency is of great significance for ascertaining water-saving potential and realizing efficient utilization of water resources. In this paper, we calculated the water footprint of crop growth, pollution water footprint and production water footprint of 14 cities in Liaoning Province, China, by using the water footprint theory, established the crop water use efficiency model of stochastic frontier distance function, and analyzed the spatial-temporal variation characteristics of crop water use efficiency (WUE), ecological WUE and production WUE. Results show that: (1) the average water footprint of crop growth was 1.714 × 10⁹ m³, the ecological water footprint of crop was 6.26 × 10⁸ m³, and the water footprint of crop production was 2.34 × 10⁹ m³ from 2001 to 2017 for the whole province. (2) the WUE of crop growth was 0.821, the crop ecological WUE was 0.845 and crop production was 0.865, respectively. We concluded that Liaoning province can save 17.9% of crop consumption water, equivalent to 8.38 × 10⁸ m³, 15.5% of ecological water, equivalent to 7.25 × 10⁸ m³ and 13.5% of production water, equivalent to 6.32 × 10⁸ m³ by strengthening the popularization of agricultural high-efficiency water use technology and improving the level of policy management. This research provides a basic support for the evaluation of crop water-saving potential with the stochastic frontier approach in other regions.
Keywords	crop production ; issues and policy ; models ; pollution ; water ; water conservation ; water footprint ; water use efficiency ; China
Language	English
Dates of publication	2022-0130
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w14030432
Database	NAL-Catalogue (AGRICOLA)

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Article: The influence of diversified forward sweep heights on operating range and performance of an ultra-high-load low-reaction transonic compressor rotor

Sun, Shijun / Wang, Songtao / Chen, Shaowen

Energy. 2020 Mar. 01, v. 194

2020

Abstract: To provide a guideline for the optimal selection of forward sweep height (FSH) in terms of operating range and performance, numerical simulations are utilized to investigate the effects of different FSHs on a new-type low-reaction ultra-high-load ... ...

Abstract	To provide a guideline for the optimal selection of forward sweep height (FSH) in terms of operating range and performance, numerical simulations are utilized to investigate the effects of different FSHs on a new-type low-reaction ultra-high-load compressor rotor. The results illustrate that it is an effective measure to amplify stall margin improvement (SMI) by adequately increasing FSH (no more than 50% span). Nonetheless, when FSH exceeds 50% span, there appears a drop in SMI. Both total pressure ratio (TPR) and peak efficiency (PE) demonstrate a continual downward trend with increasing FSH. It is noteworthy that compared with the unswept rotor, forward sweep enhances stall margin in all rotors but reduces PE and the corresponding TPR when FSH is more than 50% span. There exists an optimal FSH (50% span) that could maximize SMI (15.12%) and simultaneously achieve a negligible performance change at PE condition. A deep insight into the flow field reveals that as FSH increases, the shock gradually migrates downstream and the separation bubble on suction side shrinks at PE point and shortens in streamwise direction near stall. If FSH continually increases above 50% span, SMI brought by the change in shock structure and tip leakage flow will drop.
Keywords	guidelines ; mathematical models ; rotors
Language	English
Dates of publication	2020-0301
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2019804-8
ISSN	0360-5442 ; 0360-5442
ISSN (online)	0360-5442
ISSN	0360-5442
DOI	10.1016/j.energy.2019.116857
Database	NAL-Catalogue (AGRICOLA)

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Article: Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods

Chen, Zhijun / Zhu, Zhenchuang / Jiang, Hao / Sun, Shijun

Journal of hydrology. 2020 Dec., v. 591

2020

Abstract: To evaluate the performance of deep learning methods (DL) for reference evapotranspiration estimation and to assess the applicability of the developed DL models beyond the study areas where they were trained, three popular DL models named deep neural ... ...

Abstract	To evaluate the performance of deep learning methods (DL) for reference evapotranspiration estimation and to assess the applicability of the developed DL models beyond the study areas where they were trained, three popular DL models named deep neural network (DNN), temporal convolution neural network (TCN), and long short-term memory neural network (LSTM) were developed to estimate daily reference evapotranspiration (ETₒ) using incomplete meteorological data in the Northeast plain, China. The performances of the three DL models were compared to two classical machine learning models (CML)—support vector machine (SVM) and random forest (RF)—and empirical equations, including two temperature-based (Hargreaves (H) and modified Hargreaves (MH)), three radiation-based (Ritchie (R), Priestley-Talor (P), and Makkink (M)), and two humidity-based (Romanenko (ROM) and Schendel (S)) empirical models, in two strategies: (1) all proposed models were trained, tested, and compared in each single weather station, and (2) all-weather stations were split into several groups using the K-means method with their mean climatic characteristics. Then, in each group, stations took turns testing the proposed models which were trained by rest of the stations. The results showed that (1) the coefficient of determination (R²) values of the TCN and RF were 0.048 and 0.035 significantly higher than that of MH, respectively, and the relative root mean error (RMSE) values of TCN and RF were substantially 0.096, and 0.074 mm/d lower than that of MH, indicating that TCN and RF performed better than empirical models in the first strategy, and TCN and LSTM exhibited an RMSE that was significantly decreased by 0.069 and 0.079 mm/d, showing that TCN and LSTM outperformed empirical models in the second strategy, compared with the MH method; (2) in both strategies, compared with the Ritchie (R) model, TCN, LSTM, DNN, RF, and SVM increased R² and decreased RMSE significantly, especially the TCN model; (3) similarly, TCN, LSTM, DNN, RF, and SVM models all augmented R² and reduced RMSE substantially in comparison to humidity-based empirical models in both strategies, especially the TCN model. Overall, when temperature-based features were available, the TCN and LSTM models performed markedly better than temperature-based empirical models beyond the study areas, and when radiation-based or humidity-based features were available, all of the proposed DL and CML models outperformed radiation-based or humidity-based empirical equations beyond the study areas in which they were trained.
Keywords	evapotranspiration ; meteorological data ; neural networks ; China
Language	English
Dates of publication	2020-12
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	1473173-3
ISSN	1879-2707 ; 0022-1694
ISSN (online)	1879-2707
ISSN	0022-1694
DOI	10.1016/j.jhydrol.2020.125286
Database	NAL-Catalogue (AGRICOLA)

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Article: ST11 Carbapenem-Resistant

Duan, Qiaoyan / Wang, Qi / Sun, Shijun / Cui, Qiaozhen / Ding, Qi / Wang, Ruobing / Wang, Hui

Antibiotics (Basel, Switzerland)

2022 Volume 11, Issue 10

Abstract: The nosocomial spread of carbapenem-resistant Enterobacterales (CRE) is extremely common, resulting in severe burdens on healthcare systems. In particular, the high-risk Klebsiella pneumoniae ST11 strain has a wide endemic area in China. The current ... ...

Abstract	The nosocomial spread of carbapenem-resistant Enterobacterales (CRE) is extremely common, resulting in severe burdens on healthcare systems. In particular, the high-risk Klebsiella pneumoniae ST11 strain has a wide endemic area in China. The current study describes the results of continuous monitoring of CRE genotypes and phenotypes in a tertiary hospital in North China from 2012 to 2020. A total of 160 isolates were collected, including 109 Klebsiella. pneumoniae (68.13%), 29 Escherichia coli (26.60%), 12 Enterobacter cloacae (7.50%), and 10 other strains (6.25%). A total of 149 carbapenemase genes were detected, of which blaKPC-2 (51.0%) was the most common, followed by blaNDM-1 (22.82%), and blaNDM-5 (23.49%). Based on multi-locus sequence typing, the ST11 strain (66.1%) dominates K. pneumoniae, followed by ST15 (13.8%). Interestingly, the proportion of blaNDM (22.2%, 16/72) in ST11 K. pneumoniae was significantly increased in 2018−2019. Hence, whole-genome sequencing was performed on ST11 K. pneumoniae. Growth curves and in vitro competition experiments showed that K. pneumoniae carrying blaNDM exhibited a stronger growth rate (p < 0.001) and competition index (p < 0.001) than K. pneumoniae carrying blaKPC. Moreover, K. pneumoniae carrying blaNDM had a stronger biofilm-forming ability than K. pneumoniae carrying blaKPC (t = 6.578; p < 0.001). K. pneumoniae carrying blaKPC exhibited increased defense against bactericidal activity than K. pneumoniae carrying blaNDM. Thus, ST11 K. pneumoniae carrying blaNDM has strong adaptability and can locally replace K. pneumoniae carrying blaKPC to become an epidemic strain. Based on these findings, infection control and preventive measures should focus on the high-risk ST11-K. pneumoniae strain.
Language	English
Publishing date	2022-10-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2681345-2
ISSN	2079-6382
ISSN	2079-6382
DOI	10.3390/antibiotics11101373
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Dry Matter Accumulation in Maize in Response to Film Mulching and Plant Density in Northeast China.

Zhu, Zhenchuang / Friedman, Shmulik P / Chen, Zhijun / Zheng, Junlin / Sun, Shijun

Plants (Basel, Switzerland)

2022 Volume 11, Issue 11

Abstract: Film mulching in combination with high plant density (PD) is a common agronomic technique in rainfed maize ( ...

Abstract	Film mulching in combination with high plant density (PD) is a common agronomic technique in rainfed maize (
Language	English
Publishing date	2022-05-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2704341-1
ISSN	2223-7747
ISSN	2223-7747
DOI	10.3390/plants11111411
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Article: Effects of groundwater depth on groundwater recharge and soybean growth dynamics in Northeast China Plain.

Zhu, Zhen-Chuang / Sun, Shi-Jun / Zhu, Miao-Miao / Li, Dong-Yi / Wang, Zhe / Shen, Ru-Xuan / Chen, Wei

Ying yong sheng tai xue bao = The journal of applied ecology

2023 Volume 34, Issue 7, Page(s) 1871–1882

Abstract: To explore the groundwater recharge rate and soybean growth dynamics under different groundwater depths, we conducted a field experiment with four groundwater depth treatments (1 m, ... ...

Title translation	地下水埋深对东北平原地下水补给及大豆生长动态的影响.
Abstract	To explore the groundwater recharge rate and soybean growth dynamics under different groundwater depths, we conducted a field experiment with four groundwater depth treatments (1 m, D
MeSH term(s)	Glycine max ; Groundwater ; Water Supply ; China ; Computer Simulation
Language	English
Publishing date	2023-09-11
Publishing country	China
Document type	Journal Article
ZDB-ID	2881809-X
ISSN	1001-9332
ISSN	1001-9332
DOI	10.13287/j.1001-9332.202307.015
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