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Studies indicate that the lysine‐specific demethylase 4A (KDM4A), acts as a key player in neuropathic pain, driving the process through its involvement in promoting neuroinflammation. Emerging evidence reveals that C‐C Motif Chemokine Ligand 2 (CCL2) participates in neuroinflammation, which plays an important role in the development and maintenance of neuropathic pain. However, it remains unclear if KDM4A plays a role in regulating CCL2 in neuropathic pain. This study found that following spinal nerve transection (SNT) of the lumbar 5 nerve root in rats, the expression of KDM4A and CCL2 increased in the ipsilateral L4/5 dorsal root ganglia (DRG). Injecting KDM4A siRNA into the DRGs of rats post‐SNT resulted in a higher paw withdrawal threshold (PWT) and paw‐withdrawal latency (PWL) compared to the KDM4A scRNA group. In addition, prior microinjection of AAV‐EGFP‐KDM4A shRNA also alleviates the decrease in PWT and PWL caused by SNT. Correspondingly, microinjection of AAV‐EGFP‐KDM4A shRNA subsequent to SNT reduced the established mechanical and thermal hyperalgesia. Furthermore, AAV‐EGFP‐KDM4A shRNA injection decreased the expression of CCL2 in DRGs. ChIP‐PCR analysis revealed that increased binding of p‐STAT1 with the CCL2 promoter induced by SNT was inhibited by AAV‐EGFP‐KDM4A shRNA treatment. These findings suggest that KDM4A potentially influences neuropathic pain by regulating CCL2 expression in DRGs. [ABSTRACT FROM AUTHOR]

Grain boundary segmentation is crucial for the quantitative analysis of grain structures and material optimization. However, challenges persist due to noise interference, high labeling costs, and low detection Accuracy. Therefore, we propose a semi-supervised method called Semi-SRUnet, which is based on teacher–student knowledge distillation and pseudo-label repair to achieve grain boundary detection for a small number of labels. Specifically, the method introduces SCConv (Spatial and Channel Reconstruction Convolution) and boundary regression to improve the U-Net (a convolutional neural network architecture) as a teacher network. These innovations aim to reduce spatial and channel redundancy, expand the receptive field, and effectively capture contextual information from images, thereby improving feature extraction robustness and boundary precision in noisy environments. Additionally, we designed a pseudo-label repair algorithm to enhance the Accuracy of pseudo-labels generated by the teacher network and used knowledge distillation to train a lightweight student network. The experimental results demonstrate that Semi-SRUnet achieves 88.86% mean Intersection over Union (mIoU), 96.64% mean Recall (mRecall), 91.5% mean Precision (mPrecision), and 98.77% Accuracy, surpassing state-of-the-art models and offering a novel approach for reliable grain boundary segmentation and analysis. [ABSTRACT FROM AUTHOR]

Background: : Family coping, as an essential part of family management of patients with chronic heart failure (CHF), is an important component of CHF interventions, affecting the health of patients, family members, and the whole family. It is necessary to understand the current situation of family coping in patients with CHF to facilitate the development of family interventions for patients with CHF. This study aims to develop and validate a tool for assessing the family coping scale for patients with CHF. Methods: The semi-structured interviews, expert consensus meetings, expert consultations, and item analysis were used to develop the initial scale. We employed classical test theory and exploratory factor analysis to scrutinize and refine the items in the scale. To validate the scale, we used confirmatory factor analysis to assess structural validity. We assessed internal consistency, and split-half reliability to ensure the scale's robustness and accuracy. Results: The FCS-CHF consisted of 24 items, including six dimensions: strategies for better management of CHF, psychological coping, substantial support by family members, emergency coping, overall heart failure awareness, and patients' health behavior. The results of confirmatory factor analysis showed that the scale fitted the data with well construct validity. The results of the confirmatory factor analysis for the overall goodness of fit indices for the fitted model were found to be acceptable for the scale. The scale demonstrates good reliability and validity, meeting the requirements of psychometrics. Conclusions: The FCS-CHF developed in this study is considered reliable and valid, which can measure family coping in patients with CHF and provide a basis for developing family coping enhancement strategies. [ABSTRACT FROM AUTHOR]

The investigation into the spatial distribution of living woody (LWD) and coarse woody debris (CWD) within forests represents a fundamental methodology for probing the inherent mechanisms governing coexistence and mortality within forest ecosystems. Here, a complete spatial randomness (CSR) null model was employed to scrutinize the spatial pattern, while canonical correspondence analysis (CCA) and the Torus-translation test (TTT) were utilized to elucidate the distribution patterns of LWD and CWD within warm-temperate deciduous broadleaf secondary forests in Dongling Mountains plot, northern China. The results reveal that both LWD and CWD exhibit an aggregated distribution as the predominant pattern in the Dongling Mountains plot, with the proportion and intensity of aggregation diminishing as spatial scale increases. Specifically, the aggregation intensity g0–10 demonstrates a significant negative correlation with abundance and maximum diameter at breast height (DBH). Notably, the g0–10 of LWD manifests a stronger correlation with the maximum DBH, whereas the g0–10 of CWD exhibits a greater association with the mortality rate. CCA outcomes suggest that elevation, convexity, and aspect significantly impact LWD distribution, whereas CWD distribution shows substantial negative correlations with elevation, convexity, slope, and aspect. TTT findings indicate that ecosystems characterized by a substantial presence of LWD also display a notable prevalence of CWD. Additionally, the majority of species exhibit no habitat preference, displaying neutral habitat connections and low ecological niche differentiation within the sampled plot. [ABSTRACT FROM AUTHOR]

Drawing upon psychological contract theory, this study investigated how and when perceived overqualification may affect employees' creativity. Data were collected from 164 employees and their immediate supervisors in Chinese manufacturing, information technology (IT), and services companies (female = 53.05%; age range 31–50 years; bachelor's degree = 70.73%) using a two-wave approach over one month. Results from hierarchical regression analysis and bootstrapping analysis indicated that self-perception of overqualification was associated with lower employee creativity via less job crafting. Furthermore, higher leader–member exchange accentuated the indirect effect of perceived overqualification on creativity via job crafting. These findings are consistent with psychological contract theory in that overqualified employees are aware of organisations' failure to live up to the psychological contract. These findings imply a need for addressing organisational context factors to provide guidance for supporting employee job crafting across qualification levels. [ABSTRACT FROM AUTHOR]

The endometrium is an important part of women's bodies for menstruation and pregnancy. Various proteins are widely expressed on the surface of endometrial cells, and glycosylation is an important post-translational modification of proteins. Glycosylation modification is closely related not only to endometrial receptivity but also to common diseases related to endometrial receptivity. Glycosylation can improve endometrial receptivity, promote embryo localization and trophoblast cell adhesion and invasion, and contribute to successful implantation. Two diseases related to endometrial receptivity include endometriosis and endometrial cancer. As a common benign disease in women, endometriosis is often accompanied by an increased menstrual volume, prolonged menstrual periods, progressive and aggravated dysmenorrhea, and may be accompanied by infertility. Protein glycosylation modification of the endometrial surface indicates the severity of the disease and may be an important pathogenesis of endometriosis. In cancer, glycosylation modifications on the surface of tumor cells can be a marker to distinguish the type and severity of endometrial cancer. This review highlights the role of protein glycosylation in embryo–maternal endometrial dialogue and explores its potential mechanisms in diseases related to endometrial receptivity, which could provide a new clinical approach for their diagnosis and treatment. [ABSTRACT FROM AUTHOR]

A thorough comprehension of distribution features of ecosystem services (ESs) and the influencing mechanisms can offer scientific guidance for the ecosystem management of small watersheds. We analyzed the spatial distribution patterns, interrelationships, and service hotspots of ESs across pixel and administrative scales using a multi-level statistical analysis approach in the Ashi River Basin. Through the quantitative calculation of the InVEST model, the findings revealed a decrease in soil retention, water yield, total nitrogen and phosphorus export, carbon storage, and habitat quality, while an increase in food production was observed during the period from 1995 to 2015. Through the geographical detector, the spatial heterogeneity of most individual ESs was influenced by land use patterns. Through redundancy analysis, terrain factors had the highest contribution rate to the integral ESs. Socio-economic factors and climate factors also drove the ESs' amount and spatial distribution. At the pixel scale and administrative scale, there were distinctions in the correlations between all ESs, reflected by the fact that the relationships between ESs at the administrative scale were generally weaker and no more significant than at the pixel scale. Based on the number and distribution of hotspots in ESs and the clustering results of influencing factors, the framework of ecosystem zoning was constructed. This basin was divided into three ecological zones, and the management policies were formulated according to the ecological environment. This study clarifies the internal and mutual connection between ESs and influencing factors across two scales, thus contributing to the advancement of management strategies for ecological conservation and socio-economic development within the context of small watersheds. [ABSTRACT FROM AUTHOR]