Research on the development bottlenecks and countermeasures of leisure football sports

To better promote the development of leisure football in China, this study employs research methods such as literature review and logical analysis, combined with the analysis of the national environment, to summarize the social and cultural value conflicts, insufficient exploration of humanistic connotations, low per capita resource possession, and high barriers to sports participation as the main constraints on the development of leisure football. It also identifies the prominent problems resulting from these constraints, such as the low ability to meet the needs of participants. The study proposes two major strategies to break through the bottlenecks in the development of leisure football and to address the prominent issues it faces: promoting school and social education and training to guide changes in social culture and demand; and improving educational training concepts and methods to adapt to the actual national conditions and social needs. It is suggested that the most effective way to guide changes in social culture and demand is through education and training, which includes school education and training led by government administrative operations and social education and training led by corporate market operations. The study points out that the key to improving educational training concepts lies in grasping two main points: improving the teaching methods of tactics and techniques, and strengthening the exploration of cultural connotations. The core of improving educational training methods is to introduce and promote modern educational technologies represented by audio-visual teaching

Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing

Retinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal fundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement usually gives help to analyze diseases related to retinal fundus image. Current image enhancement methods may lead to artificial boundaries, abrupt changes in color levels, and the loss of image detail. In order to avoid these side effects, a new retinal fundus image enhancement method is proposed. First, the original retinal fundus image was processed by the normalized convolution algorithm with a domain transform to obtain an image with the basic information of the background. Then, the image with the basic information of the background was fused with the original retinal fundus image to obtain an enhanced fundus image. Lastly, the fused image was denoised by a two-stage denoising method including the fourth order PDEs and the relaxed median filter. The retinal image databases, including the DRIVE database, the STARE database, and the DIARETDB1 database, were used to evaluate image enhancement effects. The results show that the method can enhance the retinal fundus image prominently. And, different from some other fundus image enhancement methods, the proposed method can directly enhance color images

Dual roles of neutrophils in metastatic colonization are governed by the host NK cell status.

The role of neutrophils in solid tumor metastasis remains largely controversial. In preclinical models of solid tumors, both pro-metastatic and anti-metastatic effects of neutrophils have been reported. In this study, using mouse models of breast cancer, we demonstrate that the metastasis-modulating effects of neutrophils are dictated by the status of host natural killer (NK) cells. In NK cell-deficient mice, granulocyte colony-stimulating factor-expanded neutrophils show an inhibitory effect on the metastatic colonization of breast tumor cells in the lung. In contrast, in NK cell-competent mice, neutrophils facilitate metastatic colonization in the same tumor models. In an ex vivo neutrophil-NK cell-tumor cell tri-cell co-culture system, neutrophils are shown to potentially suppress the tumoricidal activity of NK cells, while neutrophils themselves are tumoricidal. Intriguingly, these two modulatory effects by neutrophils are both mediated by reactive oxygen species. Collectively, the absence or presence of NK cells, governs the net tumor-modulatory effects of neutrophils

Large urban–rural disparity in the severity of two-week illness: updated results based on the first health service survey of Hunan Province, China

BACKGROUND: To examine urban–rural differences in the severity of non-fatal disease and injury using the latest household interview survey data of Hunan Province, China. METHODS: Two-week illness data were from the first provincial health household interview survey of Hunan in 2013. The proportion of patients being bedridden, the average days of being bedridden and the average off-work days were calculated to measure the severity of two-week illness. Rao-Scott-adjusted chi-square test was performed to examine the significance of two-week illness severity differences from demographic variables. Multiple logistic regression and linear regression were used to control for sex, age and household income. RESULTS: The two-week illness prevalence was 22.8 % in Hunan province. Despite similar two-week ill prevalence rates between urban areas and rural areas (23.0 % vs. 22.8 %), rural residents had higher proportions of being bedridden and of being off work than urban residents after controlling for sex, age and household income, with adjusted odds ratios of 3.4 and 6.9, respectively. Similarly, the average days of being bedridden and of being off work in rural residents were 0.45 days and 1.61 days longer than in urban residents after controlling for demographic variables, respectively. CONCLUSION: The recent data shows that two-week illness in rural residents is more serious than urban residents in Hunan Province, China in spite of very similar two-week prevalence rates. The neglected urban–rural disparities in the severity of two-week illness deserve the attention of health policy-makers and researchers

p63: a crucial player in epithelial stemness regulation

epithelial tissue homeostasis is closely associated with the self-renewal and differentiation behaviors of epithelial stem cells (ESCs). p63, a well-known marker of ESCs, is an indispensable factor for their biological activities during epithelial development. the diversity of p63 isoforms expressed in distinct tissues allows this transcription factor to have a wide array of effects. p63 coordinates the transcription of genes involved in cell survival, stem cell self-renewal, migration, differentiation, and epithelial-to-mesenchymal transition. through the regulation of these biological processes, p63 contributes to, not only normal epithelial development, but also epithelium-derived cancer pathogenesis. In this review, we provide an overview of the role of p63 in epithelial stemness regulation, including self-renewal, differentiation, proliferation, and senescence. we describe the differential expression of TAp63 and ΔNp63 isoforms and their distinct functional activities in normal epithelial tissues and in epithelium-derived tumors. furthermore, we summarize the signaling cascades modulating the TAp63 and ΔNp63 isoforms as well as their downstream pathways in stemness regulation

Evaluation of pelvic floor dysfunction by pelvic floor ultrasonography after total hysterectomy for cervical cancer

Objective: To study the value of pelvic floor ultrasonography in evaluating pelvic floor dysfunction (PFD) after total hysterectomy for cervical cancer. Methods: All the enrolled patients were given 4D pelvic floor ultrasound examination before and after surgery. The results of ultrasonic examination and the parameters of four-dimensional ultrasonic examination before and after surgery were analyzed, and the quality of life of the patients before and after surgery was evaluated. Results: Postoperatively, the posterior angle of bladder and urethra, the rotation angle of urethra, the decreased value of bladder neck, and the distance between bladder neck and pubic symphysis were (122.60 ± 9.53)°, (136.47 ± 14.67)°, (58.90 ± 18.19)°, (18.14 ± 7.32) mm, and (2.76 ± 0.46) cm, significantly greater than the preoperative (89.90 ± 9.59)°, (107.30 ± 9.96)°, (27.59 ± 10.96)°, (13.27 ± 5.69) mm, and (2.24 ± 0.21) cm (P < 0.05). Postoperative detrusor muscle thickness, bladder neck movement, residual urine volume, and bladder rotation angle (4.48 ± 0.82) mm, (0.64 ± 0.17) cm, (12.82 ± 2.69) ml, (12.11 ± 2.43)° were significantly higher than those of preoperative (3.70 ± 0.64) mm, (0.43 ± 0.18) cm, (4.83 ± 1.07) ml, (4.30 − 1.19)° (P < 0.05). The scores of emotional function, psychological function, social function, and physiological function were (2.35 ± 0.75) points, (2.45 ± 0.66) points, (2.30 ± 0.77) points, and (2.19 ± 0.71) points, significantly higher than those of (1.01 ± 0.50) points, (1.25 ± 0.54) points, and (1.00 ± 0.57) points before surgery, (1.05 ± 0.46) (P < 0.05). Conclusions: The application of pelvic floor ultrasonography to detect pelvic floor dysfunction after total hysterectomy can clearly display the anatomical structure of the pelvic floor, which is conducive to disease prevention and treatment. Four-dimensional pelvic floor ultrasound can clearly show the postoperative pelvic floor function, which is worthy of clinical promotion and reference

Involvement of the blaCTX-M-3 gene in emergence of a peculiar resistance phenotype in Klebsiella pneumoniae

IntroductionThis study aimed to investigate the mechanism underlying a peculiar resistance phenotype in Klebsiella pneumoniae, characterized by reduced susceptibility to cefepime compared to ceftazidime.MethodsAntimicrobial susceptibility testing, plasmid conjugation experiments, whole-genome sequencing, and bioinformatic analyses were employed to characterize the resistance phenotype and identify genetic determinants.ResultsA total of 20 K. pneumoniae strains exhibiting peculiar resistance phenotypes were collected and analyzed. Ten distinct sequence types (STs) were identified, including ST25 (4/20), ST967 (3/20), ST65 (2/20), ST133 (2/20), ST48 (2/20), ST353 (1/20), ST628 (1/20), ST753 (1/20), ST792 (1/20), and ST254 (1/20). All strains were resistant to FEP (MIC50 = 128 µg/mL) but not to CAZ (MIC50 = 8 µg/mL). This resistance was primarily attributed to the presence of the blaCTX-M-3 (14/20) and blaOXA-10 (3/20). Conjugation experiments demonstrated that 5 out of 14 blaCTX-M-3-positive K. pneumoniae strains successfully acquired transconjugants, which exhibited the same peculiar resistance phenotype. PCR analysis confirmed that the conjugates contained the IncFII plasmid. To further elucidate the genetic basis of the resistance phenotype, whole-genome long-read sequencing was performed on three blaCTX-M-3-positive K. pneumoniae strains. The sequencing results confirmed that blaCTX-M-3 was located on the IncFII plasmid, and analysis of its genetic environment revealed a frequent association with mobile genetic elements such as IS26, ISEcp1, and Tn3.DiscussionThe primary driver of this phenotype in K. pneumoniae is the presence of the IncFII plasmid carrying blaCTX-M-3, which contrasts with the resistance mechanisms often reported in Pseudomonas aeruginosa exhibiting similar phenotypes. This study emphasizes the critical role of plasmid-mediated resistance in the spread of multidrug resistance in K. pneumoniae and provides insights into strategies for combating resistance in these pathogens

Comparative genomic analyses of Cutibacterium granulosum provide insights into genomic diversity

Cutibacterium granulosum, a commensal bacterium found on human skin, formerly known as Propionibacterium granulosum, rarely causes infections and is generally considered non-pathogenic. Recent research has revealed the transferability of the multidrug-resistant plasmid pTZC1 between C. granulosum and Cutibacterium acnes, the latter being an opportunistic pathogen in surgical site infections. However, there is a noticeable lack of research on the genome of C. granulosum, and the genetic landscape of this species remains largely uncharted. We investigated the genomic features and evolutionary structure of C. granulosum by analyzing a total of 30 Metagenome-Assembled Genomes (MAGs) and isolate genomes retrieved from public databases, as well as those generated in this study. A pan-genome of 6,077 genes was identified for C. granulosum. Remarkably, the ‘cloud genes’ constituted 62.38% of the pan-genome. Genes associated with mobilome: prophages, transposons [X], defense mechanisms [V] and replication, recombination and repair [L] were enriched in the cloud genome. Phylogenomic analysis revealed two distinct mono-clades, highlighting the genomic diversity of C. granulosum. The genomic diversity was further confirmed by the distribution of Average Nucleotide Identity (ANI) values. The functional profiles analysis of C. granulosum unveiled a wide range of potential Antibiotic Resistance Genes (ARGs) and virulence factors, suggesting its potential tolerance to various environmental challenges. Subtype I-E of the CRISPR-Cas system was the most abundant in these genomes, a feature also detected in C. acnes genomes. Given the widespread distribution of C. granulosum strains within skin microbiome, our findings make a substantial contribution to our broader understanding of the genetic diversity, which may open new avenues for investigating the mechanisms and treatment of conditions such as acne vulgaris

Application of gene expression programing in predicting the concentration of PM2.5 and PM10 in Xi’an, China: a preliminary study

Introduction: Traditional statistical methods cannot find quantitative relationship from environmental data.Methods: We selected gene expression programming (GEP) to study the relationship between pollutant gas and PM2.5 (PM10). They were used to construct the relationship between pollutant gas and PM2.5 (PM10) with environmental monitoring data of Xi’an, China. GEP could construct a formula to express the relationship between pollutant gas and PM2.5 (PM10), which is more explainable. Back Propagation neural networks (BPNN) was used as the baseline method. Relevant data from January 1st 2021 to April 26th 2021 were used to train and validate the performance of the models from GEP and BPNN.Results: After the models of GEP and BPNN constructed, coefficient of determination and RMSE (Root Mean Squared Error) are used to evaluate the fitting degree and measure the effect power of pollutant gas on PM2.5 (PM10). GEP achieved RMSE of [8.7365–14.6438] for PM2.5; RMSE of [13.2739–45.8769] for PM10, and BP neural networks achieved average RMSE of [13.8741–34.7682] for PM2.5; RMSE of [29.7327–52.8653] for PM10. Additionally, experimental results show that the influence power of pollutant gas on PM2.5 (PM10) situates between −0.0704 and 0.6359 (between −0.3231 and 0.2242), and the formulas are obtained with GEP so that further analysis become possible. Then linear regression was employed to study which pollutant gas is more relevant to PM2.5 (PM10), the result demonstrates CO (SO2, NO2) are more related to PM2.5 (PM10).Discussion: The formulas produced by GEP can also provide a direct relationship between pollutant gas and PM2.5 (PM10). Besides, GEP could model the trend of PM2.5 and PM10 (increase and decrease). All results show that GEP can be applied smoothly in environmental modelling

Time-Varying Networks of Inter-Ictal Discharging Reveal Epileptogenic Zone

The neuronal synchronous discharging may cause an epileptic seizure. Currently, most of the studies conducted to investigate the mechanism of epilepsy are based on EEGs or functional magnetic resonance imaging (fMRI) recorded during the ictal discharging or the resting-state, and few studies have probed into the dynamic patterns during the inter-ictal discharging that are much easier to record in clinical applications. Here, we propose a time-varying network analysis based on adaptive directed transfer function to uncover the dynamic brain network patterns during the inter-ictal discharging. In addition, an algorithm based on the time-varying outflow of information derived from the network analysis is developed to detect the epileptogenic zone. The analysis performed revealed the time-varying network patterns during different stages of inter-ictal discharging; the epileptogenic zone was activated prior to the discharge onset then worked as the source to propagate the activity to other brain regions. Consistence between the epileptogenic zones detected by our proposed approach and the actual epileptogenic zones proved that time-varying network analysis could not only reveal the underlying neural mechanism of epilepsy, but also function as a useful tool in detecting the epileptogenic zone based on the EEGs in the inter-ictal discharging