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Fibers that harvest mechanical energy via the triboelectric effect are excellent candidates as power sources for wearable electronics and functional textiles. Thus far however, their fabrication remains complex, and exhibited performances are below the state-of-the-art of 2D planar configurations, making them impractical. Here, we demonstrate the scalable fabrication of micro-structured stretchable triboelectric fibers with efficiencies on par with planar systems. We use the thermal drawing process to fabricate advanced elastomer fibers that combine a micro-textured surface with the integration of several liquid metal electrodes. Such fibers exhibit high electrical outputs regardless of repeated large deformations, and can sustain strains up to 560%. They can also be woven into deformable machine-washable textiles with high electrical outputs up to 490 V, 175 nC. In addition to energy harvesting, we demonstrate self-powered breathing monitoring and gesture sensing capabilities, making this triboelectric fiber platform an exciting avenue for multi-functional wearable systems and smart textiles. Current triboelectric fibers suffer from complex fabrication schemes and relatively poor performance. Here the authors use a highly scalable thermal drawing process to make soft and resilient micro-structured triboelectric fibers and textiles with applications both as sensors and energy harvesters.

Background Psychological distress is common in maintenance hemodialysis patients, and high psychological resilience can promote psychological well-being. The current research focuses on psychological resilience protective factors such as family resilience and social support. However, the trajectories of psychological resilience, family resilience, and social support over time and their longitudinal relationships in maintenance hemodialysis patients have not been fully explored yet. Therefore, this study aims to explore the longitudinal relationship between these factors. Methods Patients who received regular hemodialysis treatment for more than three months at dialysis centers of three tertiary hospitals in Zhejiang, China, were recruited from September to December 2020. A total of 252 patients who met the inclusion and exclusion criteria completed three follow-up surveys, including social support, family resilience, and psychological resilience assessments. A repeated measures ANOVA was used to explore differences in their respective scores at different time points. The cross-lagged analysis was performed in AMOS using the maximum likelihood method to examine the the reciprocal predictive relationships between these factors. Results Social support and psychological resilience remained relatively stable over time, whereas family resilience indicated a little increasing trend. According to the cross-lagged analysis, higher T1 social support predicted higher family resilience at T2 [β = 0.123, 95% CI (0.026–0.244)]. Further, the effects of T2 social support to T3 family resilience [β = 0.194, 95%CI (0.039–0.335)] and psychological resilience [β = 0.205, 95%CI (0.049–0.354)] were significant. Finally, the effects of T2 family resilience to T3 social support [β = 0.122, 95%CI (0.010–0.225)] and psychological resilience [β = 0.244, 95%CI (0.119–0.359)] were also significant. Conclusions The study showed that the directionality of the relationship appears to be from social support or family resilience to patients’ psychological resilience but not vice versa. This finding reminds healthcare professionals to emphasize the vital role of social and family resources in providing appropriate support and interventions for maintenance hemodialysis patients to promote psychological resilience and mental health development.

Mechanical sensing is a key functionality in soft electronics intended for applications in health monitoring, human–machine interactions and soft robotics. Current methods typically use intricate networks of sensors specific to one type of deformation and one point in space, which limits their sensing capabilities. An alternative approach to distributed sensing is electrical reflectometry, but it is challenging to build the necessary transmission lines out of soft materials. Here, we report the scalable fabrication of microstructured elastomeric fibres that integrate tens of liquid metal conductors and have the length and cross-sectional integrity necessary to successfully apply time-domain reflectometry. Our soft transmission lines allow the detection of the mode, magnitude and position of multiple simultaneous pressing and stretching events. Furthermore, as a result of the dynamically responsive conductors, the pressure sensitivity is improved by a factor of 200 compared to rigid line probes. By integrating a single soft transmission line with a single interface port into a larger fabric, our technique can be used to create an electronic textile that can decipher convoluted mechanical stimulation. A microstructured liquid metal fibre can be used as a soft transmission line probe for reflectometry, allowing electronic textiles to be created that can decipher convoluted mechanical stimulation.

Among various efficient electrocatalysts for water splitting, CoFe and NiFe-based oxides/hydroxides are typically promising candidates thanks to their extraordinary activities towards oxygen evolution reaction (OER). However, the endeavor to advance their performance towards overall water splitting has been largely impeded by the limited activities for hydrogen evolution reaction (HER). Herein, we present a CoFeNi ternary metal-based oxide (CoFeNi-O) with impressive hierarchical bimodal channel nanostructures, which was synthesized via a facile one-step dealloying strategy. The oxide shows superior catalytic activities towards both HER and OER in alkaline solution due to the alloying effect and the intrinsic hierarchical porous structure. CoFeNi-O loaded on glass carbon electrodes only requires the overpotentials as low as 230 and 278 mV to achieve the OER current densities of 10 and 100 mA·cm −2 , respectively. In particular, extremely low overpotentials of 200 and 57.9 mV are sufficient enough for Ni foam-supported CoFeNi-O to drive the current density of 10 mA·cm −2 towards OER and HER respectively, which is comparable with or even better than the already-developed state-of-the-art non-noble metal oxide based catalysts. Benefiting from the bifunctionalities of CoFeNi-O, an alkaline electrolyzer constructed by the Ni foam-supported CoFeNi-O electrodes as both the anode and the cathode can deliver a current density of 10 mA·cm −2 at a fairly low cell-voltage of 1.558 V. In view of its electrocatalytic merits together with the facile and cost-effective dealloying route, CoFeNi-O is envisioned as a promising catalyst for future production of sustainable energy resources.

Background Esophageal squamous cell carcinoma (ESCC) is a global cancer related to the sixth largest cause of death. Circular RNAs (circRNAs) have affected the progress of ESCC during recent years, but the mechanism is not completely clear. So here we probed the effects of hsa_circ_0096710 (circ_0096710) in ESCC. Methods Relative levels of circ_0096710, miR‐1294, and ADAM10 were quantified by the quantitative real‐time reverse transcription‐polymerase chain reaction in ESCC tissues. Western blot assessed ADAM10, PCNA, MMP2, VEGFA, and OCT4 protein levels. Cell proliferative capacity was assessed by cell counting and cell colony‐forming assays. Transwell assays assessed cell migration and invasion. Angiogenesis was detected by tube formation assays. Stemness of cancer cells was estimated by sphere formation assays. Dual‐luciferin reporter and RNA immunoprecipitation assays determined the targeting relationship between miR‐1294 and circ_0096710 or ADAM10. Results Relative levels of circ_0096710 and ADAM10 mRNA were upregulated in ESCC cells, yet miR‐1294 was downregulated. Circ_0096710 silencing repressed ESCC cell proliferation, migration, invasion, angiogenesis, and stem‐like properties. Moreover, circ_0096710 was an upstream target of miR‐1294, and miR‐1294 inhibition reversed the role of circ_0096710 downregulation in ESCC cells. Furthermore, ADAM10 was a downstream target of miR‐1294, and miR‐1294 overexpression suppressed ESCC cell proliferation, migration, invasion, angiogenesis, and stem‐like properties by targeting ADAM10. Meanwhile, circ_0096710 upgraded ADAM10 expression through sponging miR‐1294. Also, circ_0096710 downregulation restrained tumor growth in mouse models. Conclusion Circ_0096710 upregulates ADAM10 via mediating miR‐1294 expression so as to accelerate the occurrence of ESCC, suggesting that circ_0096710 may be a potential therapeutic target for ESCC. Schematic illustration of the mechanism by which circ_0096710 upregulates ADAM10 expression by interacting with miR‐1294, resulting in promoting esophageal squamous cell carcinoma (ESCC) cell proliferation, migration, invasion, angiogenesis, and stem‐like properties.

Background It’s widely acknowledged that students pursuing the Master of Nursing Specialist (MNS) degree must be equipped with adequate clinical competency to be qualified for clinical nursing practice. However, there is a lack of a clear definition for clinical competency and its primary components for MNS students. Hence, the purpose of this study is to explore and explain the clinical competencies of MNS students. Methods Purposive sampling was employed to select participants to participate in the semi-structured interviews. This study was conducted in 7 Chinese hospitals with 21 individuals (13 MNS graduates and 8 nursing experts). The concepts were derived from content analysis after recording and transcribing the interviews. Results For MNS students, the concept of clinical competency was multidimensional, with eleven main categories: evaluation and observation of the medical condition, prediction of disease progression, clinical operational skill, health education and health promotion, documentation of medical treatment and nursing records, communication and cooperation, administration, promotion of professional development, self-development, knowledge of law and ethics, and personal traits. Conclusion The present study examined the multifaceted nature of clinical competency for MNS students. Having a comprehensive understanding of its core components provides nursing educators with guidance in developing clinical competency training programs and enhancing the attainment of clinical competency among MNS students.

Background Anxiety may stay with nursing students throughout their internship and even persist afterwards. Although many studies have explored the effects of perceived stress on anxiety, the relationship between pre-internship perceived stress and post-internship anxiety levels has not been clarified. In addition, none had focused on the moderating roles of career adaptability and professional commitment between perceived stress and anxiety. This study aims to investigate the influence of pre-internship perceived stress on the post-internship anxiety level of nursing college students, and to analyze the moderating effects of career adaptability and professional commitment on their relationships. Methods A longitudinal study design was employed. Full-time nursing college students from a Chinese medical university were recruited by convenient sampling. All surveys were conducted via Wen Juan Xing ( www.wjx.cn ), a widely used web-based survey platform in China. Two waves of surveys were collected in the pre-internship and post-internship periods, with an interval of one year. Among 823 nursing students recruited, 692 students completed all two waves of the survey (response rate: 84.08%). Participants completed a series of questionnaires examining general demographic characteristics, perceived stress, anxiety, career adaptability, and professional commitment both before and after the internship. The bias-corrected bootstrap technique of the Hayes PROCESS macro (Model 2) was used to test the moderation effect. Results Pre-internship perceived stress was positively associated with post-internship anxiety ( β  = 0.474, p  < 0.001). Career adaptability would mitigate the effect of perceived stress on anxiety ( β = -0.009, p  < 0.01, 95% CI = [-0.013, -0.004]), and this influence became stronger for nursing college students with higher levels of career adaptability. Instead, the professional commitment would enhance the effect of perceived stress on anxiety ( β  = 0.004, p  < 0.05, 95% CI = [0.001, 0.009]). Conclusions Adequate career adaptability was key to alleviating anxiety among nursing interns. Nursing educators and clinical nursing managers should pay attention to cultivating the career adaptability of nursing college students in order to help them successfully achieve identity transformation and career development. Meanwhile, it is crucial to guide them to develop appropriate professional commitment.

Background As global cancer incidence and mortality rise, digital twin technology in precision medicine offers new opportunities for cancer treatment. Objective This study aims to systematically analyze the current applications, research trends, and challenges of digital twin technology in tumor therapy, while exploring future directions. Methods Relevant literature up to 2024 was retrieved from PubMed, Web of Science, and other databases. Data visualization was performed using R and VOSviewer software. The analysis includes the research initiation and trends, funding models, global research distribution, sample size analysis, and data processing and artificial intelligence applications. Furthermore, the study investigates the specific applications and effectiveness of digital twin technology in tumor diagnosis, treatment decision-making, prognosis prediction, and personalized management. Results Since 2020, research on digital twin technology in oncology has surged, with significant contributions from the United States, Germany, Switzerland, and China. Funding primarily comes from government agencies, particularly the National Institutes of Health in the U.S. Sample size analysis reveals that large-sample studies have greater clinical reliability, while small-sample studies emphasize technology validation. In data processing and artificial intelligence applications, the integration of medical imaging, multi-omics data, and AI algorithms is key. By combining multimodal data integration with dynamic modeling, the accuracy of digital twin models has been significantly improved. However, the integration of different data types still faces challenges related to tool interoperability and limited standardization. Specific applications of digital twin technology have shown significant advantages in diagnosis, treatment decision-making, prognosis prediction, and surgical planning. Conclusion Digital twin technology holds substantial promise in tumor therapy by optimizing personalized treatment plans through integrated multimodal data and dynamic modeling. However, the study is limited by factors such as language restrictions, potential selection bias, and the relatively small number of published studies in this emerging field, which may affect the comprehensiveness and generalizability of our findings. Moreover, issues related to data heterogeneity, technical integration, and data privacy and ethics continue to impede its broader clinical application. Future research should promote international collaboration, establish unified interdisciplinary standards, and strengthen ethical regulations to accelerate the clinical translation of digital twin technology in cancer treatment.

Background This study aimed to explore discrepancies in adolescents with chronic illness and their parents’ perceptions of family resilience, as well as the relationship between these differences and the psychological adjustment of adolescents with chronic illness. Methods A cross-sectional study was conducted. A total of 264 dyads of parents (77.7% mothers, mean age 41.60 years, SD = 6.17) and adolescents (48.5% girls, mean age 12.68 years, SD = 2.11) with chronic illness were recruited through convenience sampling from three children’s hospitals in Wenzhou, Hangzhou, and Shanghai, China between June 2022 and May 2023. The Chinese version of the Family Resilience Scale and the Psychological Adjustment Scale, which are commonly used measures with good reliability and validity, were employed to assess family resilience and psychological adaption, respectively. The data were analyzed using polynomial regression and response surface analysis. Results Adolescents with chronic illness reported higher family resilience than their parents (t=-2.80, p  < 0.05). The correlations between family resilience and adolescents’ psychological adjustment reported by the adolescents ( r  = 0.45–0.48) were higher than parents ( r  = 0.18–0.23). In the line of congruence, there were positive linear (a1 = 1.09–1.60, p  < 0.001) and curvilinear (a2=-1.38∼-0.72, p  < 0.05) associations between convergent family resilience and adolescents’ psychological adjustment. In the line of incongruence, when adolescents reported lower family resilience than parents, adolescents had a lower level of psychological adjustment (a3=-1.02∼-0.45, p  < 0.05). Adolescents’ sociability decreased when the perceived family resilience of parent-adolescent dyads converged (a4 = 1.36, p  < 0.01). Conclusion The findings highlighted the importance of considering the discrepancies and congruence of family resilience in the parent-child dyads when developing interventions to improve the psychological adjustment of adolescents with chronic illness. Interventions aimed at strengthening family communication to foster the convergence of perceptions of family resilience in parent-adolescent dyads were warranted.