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Background: Osteoarthritis (OA) is a common disease in geriatric rehabilitation medicine caused by the progressive destruction of articular cartilage. Traditional Chinese exercise (TCE) is an important component of traditional sports in China and aims to stretch the musculoskeletal tract and relieve joint pain. Bibliometrics can help researchers find suitable partners and understand the research hotspots and trends in a certain field. However, there is still a lack of bibliometric analysis in the field of TCE and OA. Methods: All the literature was obtained from the Web of Science Core Collection database. The last search was performed on July 28, 2023. The bibliometric indicators, such as publications, citations, and H-index, were recorded. Bibliometrix and CiteSpace were used for visualization analysis. In addition, randomized controlled trials were included to summarize the exercise prescription of TCE for OA. Results: A total of 170 articles were included. The field of OA with TCE had great development potential and was in the rising period. The countries, institutions, and authors with the most publications were the United States, Tufts Medical Center, and Harvey WF, respectively. The most popular journal was Osteoarthritis and Cartilage. The recent burst keywords in this field were mainly "hip", "pilot", and "risk". Tai Chi was the most studied TCE with the most detailed content of exercise prescription, followed by Baduanjin and Wuqinxi. Conclusion: Our study provides a basis for researchers in this field to choose appropriate partner and academic journals. Moreover, pain, muscle strength, and quality of life management of elderly OA patients are research hotspots in this field. The intervention of hip OA risk through TCE is expected to become a research direction for emerging teams. The TCE prescription we summarized can better provide researchers with more treatment details. [ABSTRACT FROM AUTHOR]

Objective of this study was to assess the health literacy levels of students from Universities of Shaanxi province of China, in order to provide a basis for the development of health literacy promotion plan for university students. Methods: An online cross-sectional questionnaire survey was conducted at five universities in Shaanxi Province of China on the Wen-Juan-Xing online platform. A purposive sampling method was used to 1578 students via self-administered questionnaire. Comparisons of means were made using the t-test and ANOVA, and comparisons of ratios or composition ratios were made using the χ2 test. Results: The mean score for health literacy was (105.33± 10.14) out of 135, and the mean scores for the three dimensions of health knowledge, attitudes and practices were (36.093± 4.192), (34.178± 4.227) and (35.059± 4.515) respectively. Of the total sample, 39.2% were classified as sufficient in health literacy. Female students had higher health literacy level than male students (t=4.064, p=0.044), lower grade students scored higher than higher grade (F=3.194, p=0.013), students from urban cities scored higher than those who came from rural areas (t=16.376, p< 0.001), and university students with health education experience scored higher than those without (t=24.389, p< 0.001). Conclusion: University students' health literacy is closely related to their gender, grades, family location and health education experience. [ABSTRACT FROM AUTHOR]

MicroRNA-940 (miR-940) has been extensively studied in the pathogenesis of numerous types of human cancer; however, the expression pattern, roles and molecular mechanisms underlying the regulatory actions of miR-940 in glioma remain unknown. The present study aimed to further investigate miR-940 by studying its expression, roles and mechanisms of action in glioma. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to detect miR-940 expression in glioma tissues and cell lines. The regulatory effects of miR-940 in glioma cell proliferation and invasion were determined using MTT and cell invasion assays. Bioinformatics analyses was performed to identify the potential target of miR-940, which was further confirmed by luciferase reporter assay, RT-qPCR and western blot analysis. In the present study, significantly increased miR-940 expression levels were observed in glioma tissues and cell lines compared with normal brain tissues and normal human astrocytes, respectively. Decreased miR-940 expression levels attenuated glioma cell proliferation and invasion in vitro. Kruppel-like factor 9 (KLF9) was predicted as a potential target of miR-940. Further assays demonstrated that miR-940 negatively regulated KLF9 expression in glioma cells by directly targeting the 3′-untranslated regions of KLF9. Additionally, KLF9 expression was downregulated in glioma tissues and was inversely correlated with miR-940. Furthermore, KLF9 knockdown was able to rescue the effects of miR-940 on glioma cell proliferation and invasion. The results of the present study suggest that miR-940 may function as an oncogene in glioma by targeting KLF9 and may be a considered a therapeutic target for the treatment of gliomas. [ABSTRACT FROM AUTHOR]

Purpose: This study was aimed to identify the expression pattern of vascular endothelial growth factor (VEGF) in non-small cell lung cancer (NSCLC) and to explore its potential correlation with the progression of NSCLC. Methods: Gene expression profile GSE39345 was downloaded from the Gene Expression Omnibus database. Twenty healthy controls and 32 NSCLC samples before chemotherapy were analyzed to identify the differentially expressed genes (DEGs). Then pathway enrichment analysis of the DEGs was performed and protein-protein interaction networks were constructed. Particularly, VEGF genes and the VEGF signaling pathway were analyzed. The sub-network was constructed followed by functional enrichment analysis. Results: Total 1666 up-regulated and 1542 down-regulated DEGs were identified. The down-regulated DEGs were mainly enriched in the pathways associated with cancer. VEGFA and VEGFB were found to be the initiating factor of VEGF signaling pathway. In addition, in the epidermal growth factor receptor (EGFR), VEGFA and VEGFB associated sub-network, kinase insert domain receptor (KDR), fibronectin 1 (FN1), transforming growth factor beta induced (TGFBI) and proliferating cell nuclear antigen (PCNA) were found to interact with at least two of the three hub genes. The DEGs in this sub-network were mainly enriched in Gene Ontology terms related to cell proliferation. Conclusion: EGFR, KDR, FN1, TGFBI and PCNA may interact with VEGFA to play important roles in NSCLC tumorigenesis. These genes and corresponding proteins may have the potential to be used as the targets for either diagnosis or treatment of patients with NSCLC. [ABSTRACT FROM AUTHOR]

The flexible job shop scheduling problem (FJSP) is a difficult discrete combinatorial optimization problem, which has been widely studied due to its theoretical and practical significance. However, previous researchers mostly emphasized on the production efficiency criteria such as completion time, workload, flow time, etc. Recently, with considerations of sustainable development, low-carbon scheduling problems have received more and more attention. In this paper, a low-carbon FJSP model is proposed to minimize the sum of completion time cost and energy consumption cost in the workshop. A new bio-inspired metaheuristic algorithm called discrete whale optimization algorithm (DWOA) is developed to solve the problem efficiently. In the proposed DWOA, an innovative encoding mechanism is employed to represent two sub-problems: Machine assignment and job sequencing. Then, a hybrid variable neighborhood search method is adapted to generate a high quality and diverse population. According to the discrete characteristics of the problem, the modified updating approaches based on the crossover operator are applied to replace the original updating method in the exploration and exploitation phase. Simultaneously, in order to balance the ability of exploration and exploitation in the process of evolution, six adjustment curves of a are used to adjust the transition between exploration and exploitation of the algorithm. Finally, some well-known benchmark instances are tested to verify the effectiveness of the proposed algorithms for the low-carbon FJSP. [ABSTRACT FROM AUTHOR]

In this paper, a novel improved whale optimization algorithm (IWOA), based on the integrated approach, is presented for solving the flexible job shop scheduling problem (FJSP) with the objective of minimizing makespan. First of all, to make the whale optimization algorithm (WOA) adaptive to the FJSP, the conversion method between the whale individual position vector and the scheduling solution is firstly proposed. Secondly, a resultful initialization scheme with certain quality is obtained using chaotic reverse learning (CRL) strategies. Thirdly, a nonlinear convergence factor (NFC) and an adaptive weight (AW) are introduced to balance the abilities of exploitation and exploration of the algorithm. Furthermore, a variable neighborhood search (VNS) operation is performed on the current optimal individual to enhance the accuracy and effectiveness of the local exploration. Experimental results on various benchmark instances show that the proposed IWOA can obtain competitive results compared to the existing algorithms in a short time. [ABSTRACT FROM AUTHOR]