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Superhydrophobic surfaces offer notable advantages, including markedly low water affinity and reduced ice adhesion strength. Nevertheless, their practical utility is impeded by their limited durability and vulnerability to failure in cold and humid environments. In this study, a novel approach for devising an electro‐photothermal superhydrophobic (EPS) nanocomposite coating is presented. The findings indicate that the EPS nanocomposite coating exhibits both physical and chemical self‐cleaning attributes, showcasing a synergistic interplay of superhydrophobicity, electrothermal, and photothermal characteristics. The superhydrophobic coating delays icing about four times longer than the original coating. At ambient temperatures of −20 °C, the coating stacked with an electro‐ and photo‐thermal performance de‐icing layer reduces the de‐icing time by about 5 times more than the purely photo‐thermal performance de‐icing time, and reduces the de‐icing time by about 4 times more than the purely electro‐thermal de‐icing time. Furthermore, the EPS surface demonstrates the capability to sustain temperatures above 0 °C through the photothermal effect on sunny days, utilizing both the electrothermal and photothermal effects on cloudy days, and relying on the electrothermal effect during cold nights. The research introduces a novel method for fabricating functional materials, pertinent to practical anti‐icing and de‐icing applications. The EPS coating is specifically engineered to execute anti‐icing and de‐icing functions, employing both solar thermal and electrical methodologies. This dual‐pronged functionality underscores the EPS coating's proficiency in utilizing solar energy during the daytime and electrical energy during nighttime hours, all geared towards the objectives of anti‐icing and de‐icing.

The incidence of cancer is rising annually. With advances in diagnosis and treatment, cancer patients' long-term survival rates have improved, leading them to gradually enter a chronic disease state. However, they frequently experience physiological and psychological symptoms during treatment, which severely impact their survival and quality of life. Auricular acupoint therapy, a green non-pharmacological intervention characterized by ease of operation and low cost, can alleviate cancer-related symptoms. Despite its widespread use, systematic summarization and comprehensive evaluation of this therapy remain insufficient. To systematically analyze the application of auricular therapy in cancer patients, identify its characteristics and intervention effects on symptoms, and provide a reference for symptom management in these patients. Relevant studies were systematically retrieved from PubMed, Web of Science, Cochrane Library, Embase, CINAHL, CNKI, CBM, WanFang Database, and VIP Database from their inception to April 20, 2025. Data from the included literature were extracted and analyzed. A total of 42 studies were included. Auricular therapy is applicable across multiple stages of cancer care and exerts positive effects on cancer-related pain, fatigue, sleep disorders, anxiety, and chemotherapy-induced symptoms. Notably, the pain-fatigue-sleep disorder cluster is the most common and interrelated symptom group, with auricular acupressure as the most frequently used intervention. Owing to its simplicity and cost-effectiveness, auricular therapy offers unique advantages for managing symptoms in cancer patients. The current focus in this field has shifted from managing single symptoms or individual dimensions within symptom clusters to a comprehensive management of symptom clusters. Future research should pay attention to the dynamic progression of symptoms, focus on the core symptom clusters in cancer patients, and optimize intervention strategies to enhance the efficiency of symptom management.

Background After the COVID-19 outbreak, many Chinese high school students have increased their dependence on electronic devices for studying and life, which may affect the incidence of neck and shoulder pain (NSP) in Chinese adolescents. Methods To evaluate the prevalence of NSP in high school students and its associated risk factors during COVID-19, a survey was conducted among 5,046 high school students in Shanghai, Qinghai, Henan and Macao during the second semester and summer vacation of the 2019–2020 academic year. The questionnaire included questions regarding demographic characteristics, the prevalence of NSP and lifestyle factors such as sedentary behavior, poor posture and electronic device usage. Univariable and multivariable logistic regression was used to analyze the possible influencing factors for neck and shoulder pain. Results A total of 4793 valid questionnaires (95.0%) were collected. The results indicated that the prevalence of NSP was 23.7% among high school students. Binary logistic regression analysis revealed that female gender (P < 0.05, OR = 1.82), grade (P < 0.05, range OR 1.40–1.51) and subject selection (P < 0.05, range OR 0.49–0.68) were risk factors for NSP in high school students. Sedentary behavior (P < 0.05, range OR 1.74–2.36), poor posture (P < 0.05, range OR 1.19–2.56), backpack weight (P < 0.05, range OR 1.17–1.88), exercise style and frequency (P < 0.05, range OR 1.18–1.31; P < 0.05, range OR 0.76–0.79, respectively), and the time spent using electronic devices (P < 0.05, range OR 1.23–1.38)had a significant correlation with NSP in high school students. Conclusions NSP is currently very common among high school students during the outbreak of COVID-19. Sedentary behavior, poor posture and other factors have a great impact on the occurrence of NSP in high school students. Education regarding healthy lifestyle choices should be advocated for to decrease NSP among high school students, such as more physical activity, changing poor postures and reducing the amount of time spent using electronic devices.

Background Quantitative proteomics is an indispensable tool in life science research. However, there is a lack of reference materials for evaluating the reproducibility of label-free liquid chromatography-tandem mass spectrometry (LC–MS/MS)-based measurements among different instruments and laboratories. Results Here, we develop the Quartet standard as a proteome reference material with built-in truths, and distribute the same aliquots to 15 laboratories with nine conventional LC–MS/MS platforms across six cities in China. Relative abundance of over 12,000 proteins on 816 mass spectrometry files are obtained and compared for reproducibility among the instruments and laboratories to ultimately generate proteomics benchmark datasets. There is a wide dynamic range of proteomes spanning about 7 orders of magnitude, and the injection order has marked effects on quantitative instead of qualitative characteristics. Conclusion Overall, the Quartet offers valuable standard materials and data resources for improving the quality control of proteomic analyses as well as the reproducibility and reliability of research findings.

Recently, there are many researches on signature molecules of periodontitis derived from different periodontal tissues to determine the disease occurrence and development, and deepen the understanding of this complex disease. Among them, a variety of omics techniques have been utilized to analyze periodontitis pathology and progression. However, few accurate signature molecules are known and available. Herein, we aimed to screened and identified signature molecules suitable for distinguishing periodontitis patients using machine learning models by integrated analysis of TMT proteomics and transcriptomics with the purpose of finding novel prediction or diagnosis targets. Differential protein profiles, functional enrichment analysis, and protein–protein interaction network analysis were conducted based on TMT proteomics of 15 gingival tissues from healthy and periodontitis patients. DEPs correlating with periodontitis were screened using LASSO regression. We constructed a new diagnostic model using an artificial neural network (ANN) and verified its efficacy based on periodontitis transcriptomics datasets (GSE10334 and GSE16134). Western blotting validated expression levels of hub DEPs. TMT proteomics revealed 5658 proteins and 115 DEPs, and the 115 DEPs are closely related to inflammation and immune activity. Nine hub DEPs were screened by LASSO, and the ANN model distinguished healthy from periodontitis patients. The model showed satisfactory classification ability for both training (AUC=0.972) and validation (AUC=0.881) cohorts by ROC analysis. Expression levels of the 9 hub DEPs were validated and consistent with TMT proteomics quantitation. Our work reveals that nine hub DEPs in gingival tissues are closely related to the occurrence and progression of periodontitis and are potential signature molecules involved in periodontitis.

Seeking for suitable conjunctival reconstruction substitutes to overcome the limitations of current substitutes, such as amniotic membrane, is urgent. Decellularized tissues have become a promising strategy for tissue engineering. In this study, we prepared decellularized porcine pericardium (DPP) scaffolds by the phospholipase A2 method and crosslinked them with aspartic acid (Asp) and human endothelial growth factor (hEGF) to enhance biological performance on the DPP, obtaining DPP-Asp-hEGF scaffolds. In vitro DPP showed lower apoptosis, highly desirable, well preservation of extracellular matrix components, and favorable macro-microstructure, which was confirmed by histology, immunofluorescence, electron microscopy, collagen and DNA quantification, and cytotoxicity assay, compared to the native porcine pericardium (NPP). The crosslinked efficacy of the DPP-Asp-hEGF was furtherer verified by in vitro experiments with Fourier transform infrared (FTIR) and X-ray diffraction (XRD). Through animal models of conjunctiva defect model, the DPP-Asp-hEGF revealed a closed, multilayer epithelium with an equal amount of goblet cells and no indication for conjunctival scarring after 28 days, compared to amniotic membrane (AM) groups and sham groups. These results suggested that DPP-Asp-hEGF can offer a good conjunctival reconstructive substitute both in structure and in function.

The Leizhou goat is a vital indigenous breed, yet its disease resilience can complicate early health monitoring. The white blood cell (WBC) count is a key indicator of immune status, but its relationship with the gut microbiota remains uncharacterized in this breed. This study aimed to characterize the fecal microbiota of Hainan black goats stratified based on their WBC counts. The goats were stratified into Lower, Middle, and High WBC groups based on peripheral WBC counts to compare their fecal microbiota and identify potential associations with systemic immunity. Significant differences in microbial alpha- and be-ta-diversity were observed among the groups, with the High WBC group showing the greatest richness. The microbiota was dominated by Bacillota and Bacteroidota at the phylum level. Linear discriminant analysis Effect Size (LEfSe) identified specific taxa en-riched in each group, such as Ruminococcusin the High WBC group. Critically, Spearman correlation analysis demonstrated significant positive correlations between WBC counts and the relative abundance of genera like unclassified_f_Oscillospiraceae and unclassi-fied_c_Clostridia. These findings demonstrate that WBC counts are significantly associated with distinct shifts in the gut microbial community structure of Hainan black goats. The identified WBC-associated microbial biomarkers suggest a link between the gut microbi-ome and host immune regulation, providing a foundation for future research on microbi-ota-mediated health assessment in goats.

This study investigated the effects of ( ) supplementation on microbiota and metabolites in the feces of Leizhou goats. Eight Leizhou goats were used in a replicated 4 × 4 Latin square design according to their gender (nanny goats and billy goats) with a 4 × 2 factorial arrangement of treatments that included four additive doses (control [0 g/d; NC, BC], low [2.5 g/d, NL, BL], medium [5 g/d, NM, BM], and high [7.5 g/d, NH, BH]) and 28 d periods ( = 4 per group), each consisting of 27 d adaption and 1 d sample collection. After collecting 32 fecal samples, 16S rRNA gene sequencing and LC-MS were performed to analyze microbial composition and metabolites, respectively. At the genus level, the relative abundance of was significantly higher ( < 0.05) in the NM group than in the NC group. The relative abundance of sp. was significantly lower ( < 0.05) in the NM group than in the NC group. In billy goats, the relative abundances of and were significantly higher ( < 0.05) in the BH group than in the BC group. The relative abundance of sp. was significantly lower ( < 0.05) in the BL, BM, and BH groups than in the BC group. Furthermore, metabolomic analysis revealed that significantly altered the concentrations of glucose metabolism modulators (1-deoxynojirimycin, 1-DNJ) and certain bioactive peptides. Many amino acid metabolic pathways were also enriched. Correlation analysis demonstrated close connections between differential metabolites and the top 10 bacterial genera in fecal samples. These results provide new insights into the impact of on the microbial community and metabolic profile of the feces of Leizhou goats. In this experiment, the appropriate doses of for nanny goats and billy goats were 5 g/d and 7.5 g/d, respectively, but the optimal doses still need to be verified based on performance-based feeding tests in the next study.

Beta‐cypermethrin (β‐CY) and its major metabolite 3‐phenoxybenzoic acid (3‐PBA) spread extensively in the environment because of utilization in agricultural and home formulations, exerting negative impact on environment as well as human health. Several golden flower fungi were isolated from fu brick tea, by which the biodegradation of β‐CY and 3‐PBA was evaluated, turning out strain Eurotium cristatum ET1 had the highest capacity. Furthermore, β‐CY and 3‐PBA degradation rates were positively correlated with biomass of E. cristatum ET1, and the processes of degradation fitted well with a first‐order kinetic equation. The half‐lives of β‐CY and 3‐PBA ranged from 3.382 to 11.517 days and 1.749 to 3.194 days, respectively, under different substrate concentrations, incubation temperatures, and pH values. The degraded products were analyzed using gas chromatography‐mass spectrometry and liquid chromatography‐mass spectrometry, and results showed that E. cristatum ET1 degrades β‐CY by transforming it into 3‐PBA, which is then gradually metabolized into phenol and catechol. Moreover, E. cristatum ET1 showed efficiency in degrading these metabolites. Our results suggest that this strain is a potential microorganism for bioremediation of pesticide‐contaminated environments and fermented foods. A golden flower fungi named Eurotium cristatum ET1 were isolated from fu brick tea. It could simultaneously degrade β‐cypermethrin and its major metabolite 3‐PBA. This strain possesses potential in food‐processing application.