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  1. Buch ; Online: Narrating China's Governance

    People's Daily, Department of Commentary

    Stories in Xi Jinping's Speeches

    2020  

    Verfasserangabe by Department of Commentary People's Daily
    Schlagwörter China—History ; Ethnology—Asia ; Political science ; Xi, Jinping ; China
    Thema/Rubrik (Code) 951
    Sprache Englisch
    Umfang 1 Online-Ressource (XXV, 266 p. 13 illus., 1 illus. in color)
    Ausgabenhinweis 1st ed. 2020
    Verlag Springer Singapore ; Imprint: Springer
    Erscheinungsort Singapore
    Dokumenttyp Buch ; Online
    HBZ-ID HT020299921
    ISBN 978-981-32-9178-2 ; 9789813291775 ; 9789813291799 ; 9789813291805 ; 981-32-9178-8 ; 981329177X ; 9813291796 ; 981329180X
    DOI 10.1007/978-981-32-9178-2
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Artikel ; Online: Generating Datasets for Real-Time Scheduling on 5G New Radio

    Xi Jin / Haoxuan Chai / Changqing Xia / Chi Xu

    Entropy, Vol 25, Iss 1289, p

    2023  Band 1289

    Abstract: A 5G system is an advanced solution for industrial wireless motion control. However, because the scheduling model of 5G new radio (NR) is more complicated than those of other wireless networks, existing real-time scheduling algorithms cannot be used to ... ...

    Abstract A 5G system is an advanced solution for industrial wireless motion control. However, because the scheduling model of 5G new radio (NR) is more complicated than those of other wireless networks, existing real-time scheduling algorithms cannot be used to improve the 5G performance. This results in NR resources not being fully available for industrial systems. Supervised learning has been widely used to solve complicated problems, and its advantages have been demonstrated in multiprocessor scheduling. One of the main reasons why supervised learning has not been used for 5G NR scheduling is the lack of training datasets. Therefore, in this paper, we propose two methods based on optimization modulo theories (OMT) and satisfiability modulo theories (SMT) to generate training datasets for 5G NR scheduling. Our OMT-based method contains fewer variables than existing work so that the Z3 solver can find optimal solutions quickly. To further reduce the solution time, we transform the OMT-based method into an SMT-based method and tighten the search space of SMT based on three theorems and an algorithm. Finally, we evaluate the solution time of our proposed methods and use the generated dataset to train a supervised learning model to solve the 5G NR scheduling problem. The evaluation results indicate that our SMT-based method reduces the solution time by <semantics> 74.7 % </semantics> compared to existing ones, and the supervised learning algorithm achieves better scheduling performance than other polynomial-time algorithms.
    Schlagwörter 5G new radio ; real-time scheduling ; dataset ; optimization modulo theories ; satisfiability modulus theories ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2023-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Computational-Intelligence-Based Scheduling with Edge Computing in Cyber–Physical Production Systems

    Changqing Xia / Xi Jin / Chi Xu / Peng Zeng

    Entropy, Vol 25, Iss 12, p

    2023  Band 1640

    Abstract: Real-time performance and reliability are two critical indicators in cyber–physical production systems (CPPS). To meet strict requirements in terms of these indicators, it is necessary to solve complex job-shop scheduling problems (JSPs) and reserve ... ...

    Abstract Real-time performance and reliability are two critical indicators in cyber–physical production systems (CPPS). To meet strict requirements in terms of these indicators, it is necessary to solve complex job-shop scheduling problems (JSPs) and reserve considerable redundant resources for unexpected jobs before production. However, traditional job-shop methods are difficult to apply under dynamic conditions due to the uncertain time cost of transmission and computation. Edge computing offers an efficient solution to this issue. By deploying edge servers around the equipment, smart factories can achieve localized decisions based on computational intelligence (CI) methods offloaded from the cloud. Most works on edge computing have studied task offloading and dispatching scheduling based on CI. However, few of the existing methods can be used for behavior-level control due to the corresponding requirements for ultralow latency (10 ms) and ultrahigh reliability (99.9999% in wireless transmission), especially when unexpected computing jobs arise. Therefore, this paper proposes a dynamic resource prediction scheduling (DRPS) method based on CI to achieve real-time localized behavior-level control. The proposed DRPS method primarily focuses on the schedulability of unexpected computing jobs, and its core ideas are (1) to predict job arrival times based on a backpropagation neural network and (2) to perform real-time migration in the form of human–computer interaction based on the results of resource analysis. An experimental comparison with existing schemes shows that our DRPS method improves the acceptance ratio by <semantics> 25.9 % </semantics> compared to the earliest deadline first scheme.
    Schlagwörter manufacturing ; CPPS ; edge computing ; real-time ; scheduling ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Thema/Rubrik (Code) 670
    Sprache Englisch
    Erscheinungsdatum 2023-12-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Accurate and Interpretable Dipole Interaction Model-Based Machine Learning for Molecular Polarizability.

    Feng, Chaoqiang / Xi, Jin / Zhang, Yaolong / Jiang, Bin / Zhou, Yong

    Journal of chemical theory and computation

    2023  Band 19, Heft 4, Seite(n) 1207–1217

    Abstract: Polarizabilities play significant roles in describing dispersive and inductive interactions of the atom and molecular systems. However, an accurate prediction of molecular polarizabilities from first principles is computationally prohibitive. Although ... ...

    Abstract Polarizabilities play significant roles in describing dispersive and inductive interactions of the atom and molecular systems. However, an accurate prediction of molecular polarizabilities from first principles is computationally prohibitive. Although physical models or statistical machine learning models have been proposed, either a lack of accurate description of local chemical environments or demanding a large number of samples for training has limited their practical applications. In this study, we combine a physically inspired dipole interaction model and an accurate neural network method for predicting the polarizability tensors of molecules. With the local chemical environment precisely described and the requirement of rotational covariance naturally fulfilled, this hybrid model is proven to give an accurate molecular polarizability prediction, essentially reducing the number of training samples. The atomic polarizabilities are physically interpretable and transferable to larger molecules unseen in the training set. This promising method may find its wide range of applications, such as spectroscopic simulations and the construction of polarizable force fields.
    Sprache Englisch
    Erscheinungsdatum 2023-02-08
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1549-9626
    ISSN (online) 1549-9626
    DOI 10.1021/acs.jctc.2c01094
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Genetically Predicted Higher Educational Attainment Decreases the Risk of COVID-19 Susceptibility and Severity

    Zhongyu Jian / Menghua Wang / Xi Jin / Xin Wei

    Frontiers in Public Health, Vol

    A Mendelian Randomization Study

    2021  Band 9

    Abstract: Background: Prior observational studies indicated that lower educational attainment (EA) is associated with higher COVID-19 risk, while these findings were vulnerable to bias from confounding factors. We aimed to clarify the causal effect of EA on COVID- ... ...

    Abstract Background: Prior observational studies indicated that lower educational attainment (EA) is associated with higher COVID-19 risk, while these findings were vulnerable to bias from confounding factors. We aimed to clarify the causal effect of EA on COVID-19 susceptibility, hospitalization, and severity using Mendelian randomization (MR).Methods: We identified genetic instruments for EA from a large genome-wide association study (GWAS) (n = 1,131,881). Summary statistics for COVID-19 susceptibility (112,612 cases and 2,474,079 controls), hospitalization (24,274 cases and 2,061,529 controls), and severity (8,779 cases and 1,001,875 controls) were obtained from the COVID-19 Host Genetics Initiative. We used the single-variable MR (SVMR) and the multivariable MR (MVMR) controlling intelligence, income, body mass index, vigorous physical activity, sedentary behavior, smoking, and alcohol consumption to estimate the total and direct effects of EA on COVID-19 outcomes. Inverse variance weighted was the primary analysis method. All the statistical analyses were performed using R software.Results: Results from the SVMR showed that genetically predicted higher EA was correlated with a lower risk of COVID-19 susceptibility [odds ratio (OR) 0.86, 95% CI 0.84–0.89], hospitalization (OR 0.67, 95% CI 0.62–0.73), and severity (OR 0.67, 95% CI 0.58–0.79). EA still maintained its effects in most of the MVMR.Conclusion: Educational attainment is a predictor for susceptibility, hospitalization, and severity of COVID-19 disease. Population with lower EA should be provided with a higher prioritization to public health resources to decrease the morbidity and mortality of COVID-19.
    Schlagwörter COVID-19 ; Mendelian randomization ; susceptibility ; severity ; educational attainment ; Public aspects of medicine ; RA1-1270
    Sprache Englisch
    Erscheinungsdatum 2021-12-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Protocol for Drosophila sleep deprivation using single-chip board

    Xi Jin / Pengyu Gu / Junhai Han

    STAR Protocols, Vol 2, Iss 4, Pp 100827- (2021)

    2021  

    Abstract: Summary: Sleep behavior is characterized by long-term quiescence and increased arousal threshold, and it is homeostatically regulated. The sleep rebound after deprivation is utilized to verify the abilities to maintain homeostasis. This protocol shows ... ...

    Abstract Summary: Sleep behavior is characterized by long-term quiescence and increased arousal threshold, and it is homeostatically regulated. The sleep rebound after deprivation is utilized to verify the abilities to maintain homeostasis. This protocol shows how to build a programmed mechanic oscillation system and detailed procedures to conduct sleep deprivation in Drosophila. This deprivation system is featured by its programming flexibility. The knowledge of electronic circuits and a certain level of programming are both required to fulfill this protocol.For complete details on the use and execution of this protocol, please refer to Jin et al. (2021).
    Schlagwörter Bioinformatics ; Biophysics ; Model Organisms ; Neuroscience ; Cognitive Neuroscience ; Behavior ; Science (General) ; Q1-390
    Sprache Englisch
    Erscheinungsdatum 2021-12-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Prognostic Evaluation for Oral Squamous Cell Carcinoma: A Novel Method Based on m

    Xu, Li / Yu, Cheng / Du, Xi-Jin

    Current medical science

    2022  Band 42, Heft 4, Seite(n) 841–846

    Abstract: Objective: This study aimed to examine a novel method for prognostic evaluation of patients with oral squamous cell carcinoma (OSCC) based on the expression of heterogeneous nuclear ribonucleoprotein C (HNRNPC), YTH domain-binding protein 2 (YTHDF2), ... ...

    Abstract Objective: This study aimed to examine a novel method for prognostic evaluation of patients with oral squamous cell carcinoma (OSCC) based on the expression of heterogeneous nuclear ribonucleoprotein C (HNRNPC), YTH domain-binding protein 2 (YTHDF2), and methyltransferase 14 (METTL14).
    Methods: We obtained the RNA sequence and clinical information of OSCC patients from The Cancer Genome Atlas database. An optical method was established by the least absolute shrinkage and selection operator Cox regression algorithm, which was used to calculate the risk score of every sample. In addition, all samples (n=239) were classified into high-risk (n=119) and low-risk (n=120) groups, and the overall survival (OS) time and clinical characteristics were compared between groups. Moreover, bioinformatics analysis was carried out. Gene set enrichment analysis was performed to investigate the signaling pathways of HNRNPC, YTHDF2, and METTL14.
    Results: The two groups showed significantly different OS time, tumor grades, tumor stages, and pathologic T stages (P<0.05). The receiver operating characteristic analysis identified that our method was effective and it was more accurate than use of age, gender, tumor grade, tumor stage, pathologic T stage, and pathologic N stage in OSCC prognostic prediction. Gene set enrichment analysis revealed that HNRNPC, YTHDF2, and METTL14 were mainly associated with ubiquitin-mediated proteolysis, cell cycle, RNA degradation, and spliceosome signaling pathways.
    Conclusion: The method based on the expression of HNRNPC, YTHDF2, and METTL14 can predict the prognosis of patients with OSCC independently, and its prognostic value is better than that of clinicopathological characteristic indicators.
    Mesh-Begriff(e) Carcinoma, Squamous Cell/genetics ; Carcinoma, Squamous Cell/pathology ; Head and Neck Neoplasms ; Humans ; Methylation ; Methyltransferases/genetics ; Methyltransferases/metabolism ; Mouth Neoplasms/genetics ; Mouth Neoplasms/pathology ; Prognosis ; Squamous Cell Carcinoma of Head and Neck ; Transcription Factors/metabolism
    Chemische Substanzen Transcription Factors ; Methyltransferases (EC 2.1.1.-)
    Sprache Englisch
    Erscheinungsdatum 2022-08-13
    Erscheinungsland China
    Dokumenttyp Journal Article
    ZDB-ID 2931065-9
    ISSN 2523-899X ; 2096-5230
    ISSN (online) 2523-899X
    ISSN 2096-5230
    DOI 10.1007/s11596-022-2611-7
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: Promotion of awareness and utilization of youth friendly service through multi-sectoral cooperation mechanism in China

    Ning Feng / Xi Jin / Jiuling Wu / Linhong Wang

    BMC Public Health, Vol 20, Iss 1, Pp 1-

    2020  Band 11

    Abstract: Abstract Background Youth friendly services (YFS) was established in pilot areas in China. This study aimed to explore the promoting level on the awareness and utilization of YFS after the implementing of a multi-sectoral cooperation mechanism (MSCM) ... ...

    Abstract Abstract Background Youth friendly services (YFS) was established in pilot areas in China. This study aimed to explore the promoting level on the awareness and utilization of YFS after the implementing of a multi-sectoral cooperation mechanism (MSCM) supported by social network theory (SNT) among multiple sectors related to young people reproductive health (YRH) closely. Methods A cross-sectional study with two separate self-administered questionnaire surveys was conducted before and after the implementing of a MSCM supported by SNT in both in-school and out-school unmarried young people aged 12–24 year-old in pilot areas in China. Both pre- and post- implementation surveys were conducted between December, 2008 and January, 2009, and between October, 2010 and January, 2011 respectively. The collected categorical data about the awareness on YFS in young people was described in percentage (%). χ 2 test was used to compare the differences between interventional and control areas, pre and after intervention, and changes in investigated areas after the intervention respectively. Binary logistic regression was used to analyze interventional effects after adjusting gender, in-school or out-school, and other factors. Significance level α was 0.05. Results The percentages of young people in interventional areas who could receive YRH education including that about YFS in schools, working sites and communities increased (OR = 15.485, 6.166, 3.723; 95% CI: 2.939~4.715, 4.014~9.473, 11.421~20.994 respectively) statistically significantly (P < 0.05). The percentages of young people in interventional areas who “have heard of YFS clinic” and “know that YFS clinic has been established in local area” (OR = 9.325, 11.244; 95% CI: 7.433~11.699, 8.780~14.399 respectively), and knowledge rates on YFS manner and contents also increased (OR = 14.830, 8.676; 95% CI: 9.728~22.607, 5.175~14.548 respectively) statistically significantly (P < 0.05). The increments of knowledge rates on YFS price, time, hotline number, contents on ...
    Schlagwörter Youth friendly service ; Awareness ; Multi-sectoral cooperation ; Reproductive health ; Satisfactory degree ; Public aspects of medicine ; RA1-1270
    Thema/Rubrik (Code) 360
    Sprache Englisch
    Erscheinungsdatum 2020-05-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
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  9. Artikel ; Online: Porcine-Stimulated Human Tr1 Cells Showed Enhanced Suppression in Xenoantigen Stimulation Response

    Xiaoting Chen / Hongwen Ma / Lina Gong / Guang Yang / Xi Jin

    Computational and Mathematical Methods in Medicine, Vol

    2021  Band 2021

    Abstract: Type 1 regulatory T (Tr1) cells play a fundamental role in maintaining and inducing immune tolerance. Our preliminary study demonstrated that an interleukin- (IL-) 10-mediated pathway is a possible regulatory mechanism underlying the xenoantigen-specific ...

    Abstract Type 1 regulatory T (Tr1) cells play a fundamental role in maintaining and inducing immune tolerance. Our preliminary study demonstrated that an interleukin- (IL-) 10-mediated pathway is a possible regulatory mechanism underlying the xenoantigen-specific human Treg enhanced suppressive capacity. Here, we developed a feasible protocol for expanding IL-10-induced xenoantigen-specific human Tr1 cells in vitro which would be more efficient in transplantation immunotherapy efficiency. In this study, xenoantigen-specific Tr1 cells are generated from human naive CD4+ T cells expanded for two subsequent xenoantigen-stimulation cycles with recombinant human IL-10. The phenotype and suppressive capacity of xenoantigen-stimulated Tr1 cells are assessed, and the mechanism of their suppression is studied. Tr1 cells can be induced by porcine xenoantigen stimulation combined with IL-10, IL-2, and IL-15, displaying an increased expression of CD49b, CTLA-4, and LAG-3 without expressing Foxp3 which also showed an effector memory Treg phenotype and expressed high levels of CD39. After xenoantigen stimulation, the IL-10 and IL-5 gene expression in Tr1 cells increased, secreting more IL-10, and xenoantigen-stimulated Tr1 cells changed their T cell receptor (TCR) Vβ repertoire, increasing the expression of TCR Vβ2, TCR Vβ9, and TCR Vβ13. In a pig to human mixed lymphocyte reaction (MLR), xenoantigen-stimulated Tr1 cells displayed enhanced suppressive capacity via CD39 in a dose-dependent manner. Moreover, IL-5 could affect the proliferation of xenoantigen-specific Tr1 cells, but not their phenotypes’ expression. This study provides a theory and feasible method for immune tolerance induction in clinical xenotransplantation.
    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7
    Thema/Rubrik (Code) 570
    Sprache Englisch
    Erscheinungsdatum 2021-01-01T00:00:00Z
    Verlag Hindawi Limited
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel: Epidemiological and Clinical Characteristics of Neonatal

    Ma, Jun'e / Wang, Zhenhui / Luo, Chuanjin / Xi, Jin'ou / Wang, Xiaojing / Hu, Yan / Zhu, Chengliang / Jin, Zhengjiang

    Infection and drug resistance

    2024  Band 17, Seite(n) 1323–1332

    Abstract: Purpose: To understand the epidemiology and clinical features of : Methods: Respiratory secretions were collected from neonates hospitalized in the neonatology department of the Maternal and Child Health Hospital of Hubei Province from July 2020 to ... ...

    Abstract Purpose: To understand the epidemiology and clinical features of
    Methods: Respiratory secretions were collected from neonates hospitalized in the neonatology department of the Maternal and Child Health Hospital of Hubei Province from July 2020 to June 2022, and PCR was used to detect UU-DNA in respiratory secretions. The neonates were divided into UU-positive and UU-negative groups, the epidemiological and clinical characteristics of two groups, were statistically analyzed.
    Results: A total of 7257 hospitalized neonates were included in this study, of whom 561 were UU positive and 6696 were UU negative, with a UU detection rate of 7.73%. The detection rate among female neonates was higher than male neonates, and the highest detection rate was found in the period from 1-7 days after birth; the detection rate was highest in spring and fall, and the lowest in winter, but the overall difference was not statistically significant (P>0.05). Compared with the UU-negative group, neonates in the UU-positive group were more likely to be preterm, have a lower birth weight, be delivered vaginally, and have maternal preterm rupture of membranes. In addition, neonates in the UU-positive group were more likely to be co-infected with pathogens and to have complications related to UU infections, which were all statistically significant (P<0.05).
    Conclusion: Neonatal UU infections are detected more frequently in female infants, with the highest detection rate occurring in 1-7 days after birth, and the most prevalent periods for infection being spring and fall. Vaginal delivery and premature rupture of membranes may lead to an increased risk of vertical UU transmission from mother to child, and UU infection is strongly associated with preterm labor, low birth weight, pathogen co-infection, and related complications.
    Sprache Englisch
    Erscheinungsdatum 2024-04-03
    Erscheinungsland New Zealand
    Dokumenttyp Journal Article
    ZDB-ID 2494856-1
    ISSN 1178-6973
    ISSN 1178-6973
    DOI 10.2147/IDR.S452014
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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