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  • Hindawi Limited  (20)
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  • Hindawi Limited  (20)
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  • 1
    In: International Journal of Genomics, Hindawi Limited, Vol. 2018 ( 2018-07-03), p. 1-9
    Abstract: Objective. Metachromatic leukodystrophy (MLD) is an inherited disease caused by a deficiency of the enzyme arylsulfatase A (ARSA) that leads to severe physiologic and developmental problems. Our study is aimed at elucidating the clinical and genetic characteristics of Chinese MLD patients. Methods . Clinical data of 21 MLD patients was collected. All coding exons of ARSA and their flanking intronic sequences were amplified by polymerase chain reaction and subjected to direct sequencing. Results . All 21 patients were diagnosed with MLD clinically and genetically, out of which 17 patients were late infantile and 4 were juvenile types. A total of 34 ARSA mutations, including 28 novel mutations (22 missense, 1 splicing, 1 nonsense, 3 small insertions, and 1 small deletion mutation) and 6 known mutations (5 missense and 1 small insertion mutation), were identified. Prenatal diagnosis was performed for four pedigrees. One fetus was a patient, two fetuses were carriers, and two were wild type. Conclusions . The present study discovered 28 novel ARSA mutations and widely expanded the mutation spectrum of ARSA . Four successful prenatal diagnoses provided critical information for MLD families.
    Type of Medium: Online Resource
    ISSN: 2314-436X , 2314-4378
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2018
    detail.hit.zdb_id: 2711883-6
    SSG: 12
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  • 2
    In: International Journal of Clinical Practice, Hindawi Limited, Vol. 73, No. 7 ( 2019-07)
    Type of Medium: Online Resource
    ISSN: 1368-5031 , 1742-1241
    URL: Issue
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2135320-7
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  • 3
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2021 ( 2021-10-11), p. 1-7
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2021 ( 2021-10-11), p. 1-7
    Abstract: Objective. To explore the nursing effect of the narrative nursing model on tumor patients with PICC under chemotherapy and the impact on patients’ anxiety. Methods. 200 tumor patients with PICC under chemotherapy treated in our hospital from March 2019 to March 2021 were randomly selected and divided into the control group (routine nursing) and the experimental group (narrative nursing) by the draw method, with 100 cases each. All patients were investigated with the General Anxiety Disorder-7 (GAD-7) scale, and their anxiety scores were over 5 points. The GAD-7 anxiety scores, satisfaction scores, Self-Rating Anxiety Scale (SAS) scores, Self-Rating Depression Scale (SDS) scores, quality of life (QLI) scores, and Mental Status Scale in Non-Psychiatric Settings (MSSNS) scores before intubation (T0), 1 d after intubation (T1), 3 d after intubation (T2), and after extubation (T3) of patients in both groups were compared. The adverse reaction rate (ARR) during placement was assessed in both groups, and the effectiveness of patient care was evaluated after extubation. Results. Compared with the control group, the experimental group obtained significantly higher satisfaction scores and QLI scores at T0, T1, T2, and T3 and lower GAD-7 anxiety scores, SAS scores, SDS scores, and MSSNS scores at T0, T1, T2, and T3, which were statistically significant ( P 〈 0.05 ). The experimental group had a significantly higher efficiency of care than the control group and a significantly lower ARR during treatment ( P 〈 0.05 ). Conclusion. The narrative nursing model can remarkably improve the nursing effect, alleviate the anxiety, and provide a more quality nursing for tumor patients with PICC under chemotherapy.
    Type of Medium: Online Resource
    ISSN: 1741-4288 , 1741-427X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2148302-4
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  • 4
    Online Resource
    Online Resource
    Hindawi Limited ; 2014
    In:  Mathematical Problems in Engineering Vol. 2014 ( 2014), p. 1-13
    In: Mathematical Problems in Engineering, Hindawi Limited, Vol. 2014 ( 2014), p. 1-13
    Abstract: This paper presents a new image encryption solution using the chaotic Josephus matrix. It extends the conventional Josephus traversing to a matrix form and proposes a treatment to improve the randomness of this matrix by mixing chaotic maps. It also derives the corresponding encryption primitives controlled by the chaotic Josephus matrix. In this way, it builds up an image encryption system with very high sensitivities in both encryption key and input image. Our simulation results demonstrate that an encrypted image of using this method is very random-like, that is, a uniform-like pixel histogram and very low correlations in adjacent pixels. The design idea of this method is also applicable to data encryption of other types, like audio and video.
    Type of Medium: Online Resource
    ISSN: 1024-123X , 1563-5147
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2014
    detail.hit.zdb_id: 2014442-8
    SSG: 11
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  • 5
    In: Journal of Healthcare Engineering, Hindawi Limited, Vol. 2021 ( 2021-11-30), p. 1-6
    Abstract: Objective. To explore the effect of narrative nursing intervention based on targeted nursing intervention on anxiety and nursing satisfaction of patients with malignant tumors undergoing chemotherapy. Methods. 120 malignant tumor patients treated with chemotherapy in our hospital from January 2019 to January 2020 were selected as the research objects and randomly divided into group A and group B, with 60 cases in each group. The targeted nursing intervention was performed to group B, and the targeted nursing intervention centering on narrative nursing was performed to group A, so as to compare their distress thermometer (DT) scale scores, depression and anxiety scale scores, Medical Coping Modes Questionnaire (MCMQ) scores, Functional Assessment of Cancer Therapy-General (FACT-G) scores for quality of life, and nursing satisfaction. Results. After nursing intervention, group A obtained 5.00 ± 1.20 points in the DT score, which were significantly lower than group B ( P 〈 0.05 ); and group A achieved significantly lower depression and anxiety scale scores ( P 〈 0.001 ), better MCMQ scores ( P 〈 0.05 ), and higher FACT-G scores ( P 〈 0.05 ) and nursing satisfaction ( P 〈 0.05 ) than group B. Conclusion. The targeted nursing intervention based primarily on narrative nursing can greatly reduce negative emotions, alleviate anxiety, and improve confidence in treatment and quality of life for malignant tumor patients undergoing chemotherapy, with higher nursing satisfaction, which should be promoted and applied in the practice.
    Type of Medium: Online Resource
    ISSN: 2040-2309 , 2040-2295
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2545054-2
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  • 6
    Online Resource
    Online Resource
    Hindawi Limited ; 2019
    In:  Journal of Diabetes Research Vol. 2019 ( 2019-09-12), p. 1-9
    In: Journal of Diabetes Research, Hindawi Limited, Vol. 2019 ( 2019-09-12), p. 1-9
    Abstract: It is understood that intrauterine hyperglycemia increases the risk of obesity and diabetes in offspring of consecutive generations but its mechanisms remain obscure. This study is aimed at establishing an intrauterine hyperglycemia rat model to investigate the growth and glycolipid metabolic characteristics in transgenerational offspring and discuss the effects of Rho guanine nucleotide exchange factor 11 (ARHGEF11) and the PI3K/AKT signaling pathway in offspring development. The severe intrauterine hyperglycemia rat model was caused by STZ injection before mating, while offspring development and glycolipid metabolism were observed for the following two generations. The expression of ARHGEF11, ROCK1, PI3K, and AKT was tested in the liver and muscle tissue of F2 offspring. The results showed severe growth restriction in F1 offspring and obesity, fatty liver, and insulin resistance in female F2 offspring, especially the offspring of female intrauterine hyperglycemia-exposed parents (F2G♀C♂) and both (F2G♀G♂). The expression of ARHGEF11 and ROCK1 was significantly elevated; PI3K and phosphorylation of AKT were significantly decreased in liver tissues of F2G♀C♂ and F2G♀G♂. Our study revealed that intrauterine hyperglycemia could cause obesity and abnormal glycolipid metabolism in female transgenerational offspring; the programming effect of the intrauterine environment could cause a more obvious phenotype in the maternal line. Further exploration suggested that increased expression of ARHGEF11 and ROCK1 and the decreased expression of PI3K and phosphorylation of AKT in the liver could be responsible for the abnormal development in F2 offspring.
    Type of Medium: Online Resource
    ISSN: 2314-6745 , 2314-6753
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2711897-6
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  • 7
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2021 ( 2021-10-18), p. 1-8
    Abstract: The objective of this work was to study the lipid profile (LDL, TC, TG, and HDL) over 2 years in patients with hyperlipidemia in a real-world clinical setting and to describe the dynamical trajectory of lipid profile change in response to lipid-lowering treatment (Zhenzhu Tiaozhi capsule (FTZ) vs. general lipid-lowering treatment, i.e., statins, fibrates, and Xuezhikang). We conducted a retrospective study that included people aged ≥18 years with hyperlipidemia that initiated lipid-lowering treatment between January 2010 and December 2020. Demographic, diagnosis, and laboratory data were retrieved from hospital’s electronic medical records, including hospital information system (HIS) and the laboratory information system (LIS). Follow-up trajectories of lipid profile were plotted in a generalized additive mixed model (GAMM) with smooth splines. A total of 839 patients with hyperlipidemia were included. Within 2 years, LDL, TC, and TG descended steadily and gently in the FTZ group (N = 99), while the general lipid-lowering treatment (N = 740) shortly improved LDL, TC, and TG before 11 weeks and was no longer present around 30 weeks. After 30 weeks, the trajectory of LDL, TC, and TG fluctuated up and down. Also, for HDL, a similar trajectory was observed before 40 weeks between 2 groups, but the FTZ group showed an increasing trend after 40 weeks, while a similar trend was not seen in the general lipid-lowering group. In this study, FTZ was shown to have similar long-term effectiveness as an alternative lipid-lowering treatment to the general lipid-lowering treatment. The findings of this study provide observational evidence for further studies of FTZ, but more prospective studies are needed to determine the impacts of FTZ on lipid profile.
    Type of Medium: Online Resource
    ISSN: 1741-4288 , 1741-427X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2148302-4
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  • 8
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Wireless Communications and Mobile Computing Vol. 2022 ( 2022-4-15), p. 1-10
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2022 ( 2022-4-15), p. 1-10
    Abstract: Electric Internet of things (EIoT) that integrates 5G and edge computing can provide data transmission and processing guarantee for smart grid. However, computation offloading optimization including joint optimization of server selection and computation resource allocation still faces several challenges such as difficulty in tradeoff balance among various quality of service (QoS) parameters, coupling between server selection and computation resource allocation, and multi-device competition. To address these challenges, we propose an empirical matching-based computation offloading optimization algorithm for 5G and edge computing-integrated EIoT. The optimization objective is to minimize the computation offloading delay by jointly optimizing large timescale server selection and small timescale computation resource allocation. We first model the large timescale server selection problem as a many-to-one matching problem, which can be decoupled from small timescale computation resource allocation by establishing a matching preference list based on empirical performance. Then, the large timescale server selection problem is solved by pricing-based matching with a quota algorithm. Furthermore, based on the obtained suboptimal result of large timescale server selection, the small timescale computation resource allocation problem is subsequently solved by Lagrange dual decomposition, the result of which is used to update large timescale empirical performance. Finally, extensive simulations are carried out to demonstrate the superior performance of the proposed algorithm by comparing it with existing algorithms.
    Type of Medium: Online Resource
    ISSN: 1530-8677 , 1530-8669
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2045240-8
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  • 9
    In: Journal of Oncology, Hindawi Limited, Vol. 2022 ( 2022-12-12), p. 1-17
    Abstract: Background. Currently, predictive models were not developed based on the signaling pathway signatures of immune-related lncRNAs in breast cancer (BRCA) patients. Methods. We selected unsupervised hierarchical clustering algorithm to classify patients with BRCA based on the significant immune-derived lncRNAs from the TCGA dataset. And different methods including ESTIMATE, ImmuneCellAI, and CIBERSORT were performed to evaluate the immune infiltration of tumor microenvironment. Using Lasso regression algorithm, we filtered the significant signaling pathways enriched by GSEA, GSVA, or PPI analysis to develop a prognostic model. And a nomogram integrated with clinical factors and significant pathways was constructed to predict the precise probability of overall survival (OS) of BRCA patients in the TCGA dataset (n = 1,098) and another two testing sets (n = 415). Results. BRCA patients were stratified into the PC (n = 571) and GC (n = 527) subgroup with significantly different prognosis with 550 immune-related lncRNAs in the TCGA dataset. Integrated analysis revealed different immune response, oncogenic signaling, and metabolic reprograming pathways between these two subgroups. And a 5-pathway signature could predict the prognosis of BRCA patients between these two subgroups independently in the TCGA dataset, which was confirmed in another two cohorts from the GEO dataset. In the TCGA dataset, 5-year OS rate was 78% (95% CI: 73–84) vs. 82% (95% CI: 77–87) for the PC and GC group (HR = 1.63 (95% CI: 1.17–2.28), p = 0.004 ). The predictive power was similar in another two testing sets (HR  〉  1.20, p   〈   0.01 ). Finally, a nomogram is developed for clinical application, which integrated this signature and age to accurately predict the survival probability in BRCA patients. Conclusion. This 5-pathway signature correlated with immune-derived lncRNAs was able to precisely predict the prognosis for patients with BRCA and provided a rich source characterizing immune-related lncRNAs and further informed strategies to target BRCA vulnerabilities.
    Type of Medium: Online Resource
    ISSN: 1687-8469 , 1687-8450
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2461349-6
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  • 10
    Online Resource
    Online Resource
    Hindawi Limited ; 2020
    In:  Gastroenterology Research and Practice Vol. 2020 ( 2020-05-27), p. 1-9
    In: Gastroenterology Research and Practice, Hindawi Limited, Vol. 2020 ( 2020-05-27), p. 1-9
    Abstract: Purpose . Jiaweishaoyao decoction (JWSYD) is a traditional prescription of Chinese medicine that is initially used for the treatment of diarrhea. This study is aimed at investigating the effects of JWSYD on DSS-induced ulcerative colitis (UC). Methods . DSS-induced UC mice and LPS-induced RAW264.7 cells were used as the UC model in vivo and in vitro . UC was assessed by body weight, disease activity index (DAI), colon length, spleen weight, and histopathological score (HE staining). The levels of TNF- α , IL-1 β , and IL-6 were analyzed by ELISA and qRT-PCR. The levels of NLRP3 inflammasome- and NF- κ B pathway-associated proteins were measured by western blot. Results . JWSYD alleviated DSS-induced UC in respect to body weight, DAI, colon length, spleen weight, and histopathological score. JWSYD reduced the levels of TNF- α , IL-1 β , and IL-6 in DSS-induced UC mice and the supernatants of LPS-induced RAW264.7 cells. JWSYD suppressed the protein levels of inflammasome-associated proteins, including NLRP3, ASC1, Procaspase-1, Cleaved caspase-1, and Cleaved IL-1 β in DSS-induced UC mice and LPS-induced RAW264.7 cells. In addition, JWSYD suppressed the NF- κ B pathway in vitro and in vivo . Conclusion . JWSYD alleviated DSS-induced UC via inhibiting the NLRP3 inflammasome and NF- κ B pathway.
    Type of Medium: Online Resource
    ISSN: 1687-6121 , 1687-630X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2435460-0
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