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Article ; Online: An investigation using DFT into the impact of hydrogen on oxygen migration processes during aluminum anodization.

An, Zeyu / Sun, Shiyang / Dong, Binghai

RSC advances

2024 Volume 14, Issue 17, Page(s) 11668–11675

Abstract: First-principles computations were utilized to examine the impact of H atoms on the surface behavior of O atoms on the (111) surface of Al and their infiltration behavior into the Al crystal, with the aim of elucidating the behavior of ions in the anodic ...

Abstract	First-principles computations were utilized to examine the impact of H atoms on the surface behavior of O atoms on the (111) surface of Al and their infiltration behavior into the Al crystal, with the aim of elucidating the behavior of ions in the anodic process during aluminum oxidation. According to the findings, the "abstract" action of H atoms significantly lowers the energy barrier preventing O from entering the Al crystal. The addition of a H atom influences the diffusion of O atoms in the Al crystal as well, and this can lower the activation energy of O atom migration between the tetrahedral interstitial locations from 1.23 eV to 0.35 eV. We can benefit from knowing how ions are transported and anodic oxidation occurs.
Language	English
Publishing date	2024-04-11
Publishing country	England
Document type	Journal Article
ISSN	2046-2069
ISSN (online)	2046-2069
DOI	10.1039/d3ra08693c
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Article ; Online: Twin reversed arterial perfusion sequence with a cardiac loop.

Sun, Wei / Yang, Zeyu / Yin, Shaowei

American journal of obstetrics and gynecology

2023 Volume 229, Issue 4, Page(s) 457–459

MeSH term(s)	Humans ; Pregnancy ; Female ; Fetofetal Transfusion/diagnostic imaging ; Twins, Monozygotic ; Heart ; Perfusion ; Ultrasonography, Prenatal ; Pregnancy, Twin
Language	English
Publishing date	2023-03-23
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	80016-8
ISSN	1097-6868 ; 0002-9378
ISSN (online)	1097-6868
ISSN	0002-9378
DOI	10.1016/j.ajog.2023.03.027
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Article ; Online: Identification, characterization and complete genome analysis of a Vibrio anguillarum isolated from Sebastes schlegelii.

Li, Zeyu / Sun, Yungui / Tan, Ruiming / Gao, Yingli

Microbial pathogenesis

2024 Volume 190, Page(s) 106611

Abstract: Vibrio anguillarum is an important fish pathogen in mariculture, which can infect fish with great economic losses. In this study, a Vibrio anguillarum isolated from Sebastes schlegelii was named VA1 and was identified and characterized from aspects of ... ...

Abstract	Vibrio anguillarum is an important fish pathogen in mariculture, which can infect fish with great economic losses. In this study, a Vibrio anguillarum isolated from Sebastes schlegelii was named VA1 and was identified and characterized from aspects of morphology, physiological and biochemical characteristics, 16SRNA, virulence genes, drug sensitivity, and extracellular enzyme activity. At the same time, The VA1 was investigated at the genomic level. The results showed that a Gram-negative was isolated from the diseased fish. The VA1 was characterized with uneven surface and visible flagella wrapped in a sheath and microbubble structures. The VA1 was identified as Vibrio anguillarum based on the 16S RNA sequence and physiological and biochemical characteristics. The VA1 carried most of the virulence genes (24/29) and was resistant to penicillin, oxacillin, ampicillin, cefradine, neomycin, pipemidic acid, ofloxacin, and norfloxacin. The pathogenicity of the isolated strain was confirmed by an experimental analysis, and its LD50 was 6.43 × 10
MeSH term(s)	Vibrio/genetics ; Vibrio/pathogenicity ; Vibrio/isolation & purification ; Vibrio/classification ; Vibrio/drug effects ; Fish Diseases/microbiology ; Genome, Bacterial ; Animals ; Virulence Factors/genetics ; Vibrio Infections/microbiology ; Vibrio Infections/veterinary ; Anti-Bacterial Agents/pharmacology ; Whole Genome Sequencing ; Phylogeny ; RNA, Ribosomal, 16S/genetics ; Microbial Sensitivity Tests ; Virulence/genetics ; Fishes/microbiology ; Base Composition
Chemical Substances	Virulence Factors ; Anti-Bacterial Agents ; RNA, Ribosomal, 16S
Language	English
Publishing date	2024-03-11
Publishing country	England
Document type	Journal Article
ZDB-ID	632772-2
ISSN	1096-1208 ; 0882-4010
ISSN (online)	1096-1208
ISSN	0882-4010
DOI	10.1016/j.micpath.2024.106611
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Article ; Online: Children aged 0-14 years had a far lower mortality risk during the entire COVID-19 pandemic in four major industrial countries: an observational study.

Yuan, Lang / Sun, Chao / Zeng, Zeyu / Wang, Haojie

European journal of pediatrics

2024

Abstract: The purpose of this study is to describe the morbidity and mortality of children during the entire COVID-19 pandemic. Age-disaggregated data of 108,003,741 cases and 560,426 deaths were collected from Canada, France, Germany, and Italy. The number of ... ...

Abstract	The purpose of this study is to describe the morbidity and mortality of children during the entire COVID-19 pandemic. Age-disaggregated data of 108,003,741 cases and 560,426 deaths were collected from Canada, France, Germany, and Italy. The number of cases and deaths per million people per week, as well as case fatality rates (CFRs), were calculated for patients aged 0-14 and ≥ 15 years. During the first pandemic period in the four countries, starting from weeks 4 to 11 (in 2020) and ending at week 22 (in 2021), the number of deaths per million people per week and the CFRs in the ≥ 15 years age group were 500 to 2513 and 442 to 1662 times greater, respectively, than those in the 0-14 years age group. The number of deaths per million people per week was significantly lower in the first pandemic period than in the second pandemic period, which started at week 23 (2021) and ended from week 22 to week 25 (2023). During the second pandemic period in the four countries, the disparities between the ≥ 15 years and 0-14 years age groups decreased, and the number of deaths per million people per week in the ≥ 15 years age group was 76 to 180 times greater than it in the 0-14 years age group. Conclusion: Children aged 0-14 years had a far lower mortality risk during the entire COVID-19 pandemic, and the impact of viral variants and/or vaccination on the mortality rate is difficult to distinguish. What is known: • Although extensive studies have focused on COVID-19-induced mortality, most of them are provisional reports performed during the unfolding of the pandemic and provide imprecise conclusion. What is new: • We described the morbidity and mortality for children aged 0-14 years using complete survey data recorded during the entire COVID-19 pandemic. • The number of deaths per million people per week was far lower in children aged 0-14 years, while the number of deaths per million people per week in children aged 0-14 years was significantly higher in the second period which starting from week 23 (2021) and ending at week 22 to 25 (2023) than in the first period which starting from week 1 to 11 (2020) and ending at week 22 (2021).
Language	English
Publishing date	2024-03-19
Publishing country	Germany
Document type	Journal Article
ZDB-ID	194196-3
ISSN	1432-1076 ; 0340-6199 ; 0943-9676
ISSN (online)	1432-1076
ISSN	0340-6199 ; 0943-9676
DOI	10.1007/s00431-024-05522-6
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Article ; Online: Mechanistic insights into the role of USP14 in adipose tissue macrophage recruitment and insulin resistance in obesity.

Wei, Dongqin / Tian, Xin / Ren, Zeyu / Liu, Zunhai / Sun, Chao

International journal of biological macromolecules

2024 Volume 267, Issue Pt 2, Page(s) 131645

Abstract: Diet-induced obesity can cause metabolic syndromes. The critical link in disease progression is adipose tissue macrophage (ATM) recruitment, which drives low-level inflammation, triggering adipocyte dysfunction. It is unclear whether ubiquitin-specific ... ...

Abstract	Diet-induced obesity can cause metabolic syndromes. The critical link in disease progression is adipose tissue macrophage (ATM) recruitment, which drives low-level inflammation, triggering adipocyte dysfunction. It is unclear whether ubiquitin-specific proteinase 14 (USP14) affects metabolic disorders by mediating adipose tissue inflammation. In the present study, we showed that USP14 is highly expressed in ATMs of obese human patients and diet-induced obese mice. Mouse USP14 overexpression aggravated obesity-related insulin resistance by increasing the levels of pro-inflammatory ATMs, leading to adipose tissue inflammation, excessive lipid accumulation, and hepatic steatosis. In contrast, USP14 knockdown in adipose tissues alleviated the phenotypes induced by a high-fat diet. Co-culture experiments showed that USP14 deficiency in macrophages led to decreased adipocyte lipid deposition and enhanced insulin sensitivity, suggesting that USP14 plays an important role in ATMs. Mechanistically, USP14 interacted with TNF receptor-associated 6, preventing K48-linked ubiquitination as well as proteasome degradation, leading to increased pro-inflammatory polarization of macrophages. In contrast, the pharmacological inhibition of USP14 significantly ameliorated diet-induced hyperlipidemia and insulin resistance in mice. Our results demonstrated that macrophage USP14 restriction constitutes a key constraint on the pro-inflammatory M1 phenotype, thereby inhibiting obesity-related metabolic diseases.
Language	English
Publishing date	2024-04-15
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	282732-3
ISSN	1879-0003 ; 0141-8130
ISSN (online)	1879-0003
ISSN	0141-8130
DOI	10.1016/j.ijbiomac.2024.131645
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Article: Exogenous dopamine promotes photosynthesis and carbohydrate metabolism of downy mildew-infected cucumber

Ji, Zeyu / Liu, Zeyu / Han, Yuying / Sun, Yan

Scientia horticulturae. 2022 Mar. 15, v. 295

2022

Abstract: Downy mildew causes great damage to cucumber photosynthesis and is a major threat to cucumber production. The increase in drawbacks associated with chemical treatments has prompted the need for alternative protecting agents. We evaluated the ... ...

Abstract	Downy mildew causes great damage to cucumber photosynthesis and is a major threat to cucumber production. The increase in drawbacks associated with chemical treatments has prompted the need for alternative protecting agents. We evaluated the physiological effects of different exogenous dopamine concentrations on the photosynthetic capacity and carbohydrate metabolism of downy mildew-infected cucumber. The results showed that applying 100 µmol L⁻¹ exogenous dopamine significantly promoted the growth of cucumbers under downy mildew stress and decreased the disease index, thereby contributing to improved disease resistance in cucumber. Exogenous dopamine effectively increased the photosynthetic pigment content, chlorophyll fluorescence parameters, net leaf photosynthetic rate and stomatal conductance and transpiration rate but reduced the intercellular CO₂ concentration. Exogenous dopamine application also increased the activity of ribulose-1,5-bisphosphate carboxylase/oxygenase during carbon assimilation, upregulated the expression of Rubisco regulatory genes (CsrbcL and CsrbcS) and downregulated the expression of chlorophyll degradation related genes (CsPAO and CsRCCR). The contents of total soluble and reducing sugars were increased, thereby maintaining the osmotic adjustment function. At the same time, applying 100 µmol L⁻¹ dopamine significantly increased the activity of sucrose synthase, sucrose phosphate synthase, acid invertase and neutral invertase in carbohydrate metabolism. Further, dopamine application upregulated the expression of CsSUS3 and CsSPS4 and increased cucumber starch, cellulose, fructose, sucrose and glucose contents. Therefore, exogenous dopamine can effectively alleviate the damage to cucumber photosynthetic and carbohydrate metabolism rates caused by downy mildew, thereby maintaining the normal growth of cucumber under stress.
Keywords	beta-fructofuranosidase ; carbon dioxide ; carbon dioxide fixation ; cellulose ; chlorophyll ; cucumbers ; disease resistance ; dopamine ; downy mildew ; fructose ; glucose ; leaves ; photosynthesis ; ribulose-bisphosphate carboxylase ; starch ; stomatal conductance ; sucrose ; sucrose synthase ; sucrose-phosphate synthase
Language	English
Dates of publication	2022-0315
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	185557-8
ISSN	0304-4238
ISSN	0304-4238
DOI	10.1016/j.scienta.2021.110842
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Publisher Correction to: Strongly Coupled 2D Transition Metal Chalcogenide-MXene-Carbonaceous Nanoribbon Heterostructures with Ultrafast Ion Transport for Boosting Sodium/Potassium Ions Storage.

Cao, Junming / Li, Junzhi / Li, Dongdong / Yuan, Zeyu / Zhang, Yuming / Shulga, Valerii / Sun, Ziqi / Han, Wei

Nano-micro letters

2024 Volume 16, Issue 1, Page(s) 101

Language	English
Publishing date	2024-02-01
Publishing country	Germany
Document type	Published Erratum
ZDB-ID	2642093-4
ISSN	2150-5551 ; 2150-5551
ISSN (online)	2150-5551
ISSN	2150-5551
DOI	10.1007/s40820-023-01320-1
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Article ; Online: Research on Multi-Sensor Data Fusion Positioning Method of Unmanned Ships Based on Threshold- and Hierarchical-Capacity Particle Filter

Yi Shen / Zeyu Zhao / Mingxin Yuan / Sun Wang

Applied Sciences, Vol 13, Iss 10390, p

2023 Volume 10390

Abstract: To improve the positioning accuracy of unmanned ships, a multi-sensor system including ZigBee, a Global Positioning System (GPS), and BeiDou Navigation Satellite System (BDS) is constructed, and an adaptive multi-sensor data fusion positioning method ... ...

Abstract	To improve the positioning accuracy of unmanned ships, a multi-sensor system including ZigBee, a Global Positioning System (GPS), and BeiDou Navigation Satellite System (BDS) is constructed, and an adaptive multi-sensor data fusion positioning method based on the threshold and hierarchical capacity particle filter (TCPF) is designed. First, the ZigBee-GPS/BDS multi-sensor measurement data is preprocessed to achieve a consistent space–time reference and transformed into the same coordinate system by projection. Then, the fault data is weighted and corrected through the consistency inspection of ZigBee-GPS/BDS multi-sensor positioning data, and the corresponding confidence factor is given according to the confidence distance of the positioning data; furthermore, the confidence factor is associated with stratified sampling. After that, the multi-sensor positioning data is filtered and denoised using a basic particle filter. Finally, a TCPF data fusion algorithm is designed, and the navigation positioning data of the unmanned ship is fused and filtered to obtain its positioning information. Numerical tests show that compared with other filtering algorithms, the mean square root error and standard deviation of the proposed TCPF algorithm decrease by an average of 25.0% and 28.0%, respectively, which verifies its high filtering accuracy and its advantages in suppressing particle degradation and avoiding sample scarcity. The experimental tests show that compared with other fusion algorithms, the proposed TCPF algorithm can not only realize the precise positioning during unmanned ship navigation, but also in the positioning and fault tolerance test, the average positioning error, root-mean-square error, and standard deviation of the former decrease by 36.0%, 38.0%, and 37.0%, respectively, and the corresponding performance indicators of the latter decrease by an average of 20.0%, 19.5%, and 17.5%, which verifies that it has the advantages of high data reliability and good filtering fault tolerance, and helps to improve ...
Keywords	unmanned ship ; multi-sensor data ; data fusion ; positioning system ; particle filter ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	620
Language	English
Publishing date	2023-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Publisher Correction: A viscoelastic-viscoplastic constitutive model for polymer bonded explosives under low impact loading.

Xiao, Youcai / Wang, Zeyu / Wang, Ruisheng / Zhang, Xiaowei / Fan, Chenyang / Wei, Zhifang / Sun, Yi

Scientific reports

2023 Volume 13, Issue 1, Page(s) 3475

Language	English
Publishing date	2023-03-01
Publishing country	England
Document type	Published Erratum
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-30094-0
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Article: Evaluation of Trace Elements Levels and Construction of Auxiliary Prediction Model in Patients with Diabetes Ketoacidosis in Type 1 Diabetes.

Chai, Jiatong / Sun, Zeyu / Zhou, Qi / Xu, Jiancheng

Diabetes, metabolic syndrome and obesity : targets and therapy

2023 Volume 16, Page(s) 3403–3415

Abstract: Background: Trace elements play an important role in reflecting physical metabolic status, but have been rarely evaluated in diabetes ketoacidosis (DKA). Since clinical biochemical parameters are the first-line diagnostic data mastered by clinical ... ...

Abstract	Background: Trace elements play an important role in reflecting physical metabolic status, but have been rarely evaluated in diabetes ketoacidosis (DKA). Since clinical biochemical parameters are the first-line diagnostic data mastered by clinical doctors and DKA has a rapid progression, it is crucial to fully utilize clinical data and combine innovative parameters to assist in assessing disease progression. The aim of this study was to evaluate the levels of trace elements in DKA patients, followed by construction of predictive models combined with the laboratory parameters. Methods: A total of 96 T1D individuals (48 DKA patients) were collected from the First Hospital of Jilin University. Serum calcium (Ca), magnesium (Mg), zinc (Zn), copper (Cu), iron (Fe) and selenium (Se) were measured by Inductively Coupled Plasma Mass Spectrometry, and the data of biochemical parameters were collected from the laboratory information system. Training and validation sets were used to construct the model and examine the efficiency of the model. The lambda-mu-sigma method was used to evaluate the changes in the model prediction efficiency as the severity of the patient's condition increases. Results: Lower levels of serum Mg, Ca and Zn, but higher levels of serum Fe, Cu and Se were found in DKA patients. Low levels of total protein (TP), Zn and high levels of lipase would be an efficient combination for the prediction of DKA (Area under curves for training set and validation set were 0.867 and 0.961, respectively). The examination test confirmed the clinical applicability of the constructed models. The increasing predictive efficiency of the model was found with NACP. Conclusion: More severe oxidative stress in DKA led to further imbalance of trace elements. The combination of TP, lipase and Zn could predict DKA efficiently, which would benefit the early identification and prevention of DKA to improve prognosis.
Language	English
Publishing date	2023-10-30
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2494854-8
ISSN	1178-7007
ISSN	1178-7007
DOI	10.2147/DMSO.S425156
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