The impact of nurses' experiences of hospital violence on resilience: A mediated moderation model.

AIMS: This study aims to investigate the impact of nurses' experiences of hospital violence on resilience, the mediating effect of trust in patients and the moderating effect of organizational trust. BACKGROUND: Despite belonging to the central part of health care worldwide and being the leading provider of medical services, nurses are often subjected to hospital violence, which affects their physical and mental well-being. Trust is a high-order mechanism that encourages positive thinking and personal and professional development. However, research into the impact of trust on resilience concerning nurses' experiences of hospital violence is limited. METHODS: The participants were 2331 nurses working in general hospitals in China. A cross-sectional survey was conducted, and data were collected via questionnaires from July to October 2022 and analysed using SPSS 25.0 and SPSS PROCESS 3.3 macros. This study was prepared and reported according to the STROBE checklist. RESULTS: Mean trust in patients was 48.00 ± 10.86 (12-60), mean organizational trust was 56.19 ± 8.90 (13-65) and mean resilience was 78.63 ± 19.26 (0-100). Nurses' experience of hospital violence had a direct negative effect on resilience (ß = -.096, p = .871), a significant adverse effect on trust in patients (ß = -3.022, p < .001) and a significant positive effect on trust in patients on resilience (ß = 1.464, p < .001). Trusting patients played a mediating role. The significant moderating effect of organizational trust between experience of hospital violence and trust in patients was moderated by a mediating effect index of -0.1867 (95% CI = [-0.3408, -0.0345]). CONCLUSIONS: Nurses' experience of hospital violence exerted a negative effect on resilience, trust in patients had a fully mediated effect and organizational trust had a significant moderating influence in the pathway from nurses' experience of hospital violence to patients' trust-mediated resilience. IMPLICATIONS FOR NURSING AND HEALTH POLICY: This study highlights the impact of nurses' experiences of hospital violence on resilience and explores the importance of trust from the nurses' perspective. Measures taken by managers to provide nurses with a safe, trusting and positive work environment can be highly beneficial in enhancing nurse resilience.

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching.

Energy-based models (EBMs) assign an unnormalized log probability to data samples. This functionality has a variety of applications, such as sample synthesis, data denoising, sample restoration, outlier detection, Bayesian reasoning and many more. But, the training of EBMs using standard maximum likelihood is extremely slow because it requires sampling from the model distribution. Score matching potentially alleviates this problem. In particular, denoising-score matching has been successfully used to train EBMs. Using noisy data samples with one fixed noise level, these models learn fast and yield good results in data denoising. However, demonstrations of such models in the high-quality sample synthesis of high-dimensional data were lacking. Recently, a paper showed that a generative model trained by denoising-score matching accomplishes excellent sample synthesis when trained with data samples corrupted with multiple levels of noise. Here we provide an analysis and empirical evidence showing that training with multiple noise levels is necessary when the data dimension is high. Leveraging this insight, we propose a novel EBM trained with multiscale denoising-score matching. Our model exhibits a data-generation performance comparable to state-of-the-art techniques such as GANs and sets a new baseline for EBMs. The proposed model also provides density information and performs well on an image-inpainting task.

IFT140+/K14+ cells function as stem/progenitor cells in salivary glands.

Stem/progenitor cells are important for salivary gland development, homeostasis maintenance, and regeneration following injury. Keratin-14+ (K14+) cells have been recognized as bona fide salivary gland stem/progenitor cells. However, K14 is also expressed in terminally differentiated myoepithelial cells; therefore, more accurate molecular markers for identifying salivary stem/progenitor cells are required. The intraflagellar transport (IFT) protein IFT140 is a core component of the IFT system that functions in signaling transduction through the primary cilia. It is reportedly expressed in mesenchymal stem cells and plays a role in bone formation. In this study, we demonstrated that IFT140 was intensively expressed in K14+ stem/progenitor cells during the developmental period and early regeneration stage following ligation-induced injuries in murine submandibular glands. In addition, we demonstrated that IFT140+/ K14+ could self-renew and differentiate into granular duct cells at the developmental stage in vivo. The conditional deletion of Ift140 from K14+ cells caused abnormal epithelial structure and function during salivary gland development and inhibited regeneration. IFT140 partly coordinated the function of K14+ stem/progenitor cells by modulating ciliary membrane trafficking. Our investigation identified a combined marker, IFT140+/K14+, for salivary gland stem/progenitor cells and elucidated the essential role of IFT140 and cilia in regulating salivary stem/progenitor cell differentiation and gland regeneration.

Reliability and validity of the Mandarin version of the Trust in Nurses Scale.

AIMS: This study aimed to translate and validate the Trust in Nurses Scale (TINS) and then test and implement the tool. BACKGROUND: Trust is the core feature of the nurse-patient relationship, and a simple and universal instrument to measure patients' trust in nurses in China is lacking. METHODS: Exploratory and confirmatory factor analyses (EFA and CFA) were performed to verify structural validity. Content validity and reliability analyses were also conducted. RESULTS: The Cronbach's alpha of the TINS was .817, and the test-retest reliability coefficient was .852. EFA revealed two factors and explained 59.702% of the total variation. CFA proved that all the goodness-of-fit indicators were acceptable. CONCLUSION: The TINS exhibited satisfactory reliability and validity, and it can be universally applied to survey Chinese patients' trust in nurses. IMPLICATIONS FOR NURSING MANAGEMENT: The TINS can be used by nursing managers to assess patients' trust in nurses, and appropriate programmes can be developed to improve patients' trust.

A Neural Network MCMC Sampler That Maximizes Proposal Entropy.

Markov Chain Monte Carlo (MCMC) methods sample from unnormalized probability distributions and offer guarantees of exact sampling. However, in the continuous case, unfavorable geometry of the target distribution can greatly limit the efficiency of MCMC methods. Augmenting samplers with neural networks can potentially improve their efficiency. Previous neural network-based samplers were trained with objectives that either did not explicitly encourage exploration, or contained a term that encouraged exploration but only for well structured distributions. Here we propose to maximize proposal entropy for adapting the proposal to distributions of any shape. To optimize proposal entropy directly, we devised a neural network MCMC sampler that has a flexible and tractable proposal distribution. Specifically, our network architecture utilizes the gradient of the target distribution for generating proposals. Our model achieved significantly higher efficiency than previous neural network MCMC techniques in a variety of sampling tasks, sometimes by more than an order magnitude. Further, the sampler was demonstrated through the training of a convergent energy-based model of natural images. The adaptive sampler achieved unbiased sampling with significantly higher proposal entropy than a Langevin dynamics sample. The trained sampler also achieved better sample quality.

Lineage tracing of cells expressing the ciliary gene IFT140 during bone development.

BACKGROUND: Primary cilia influence cell function and tissue development. Ciliary signaling is mediated by two intraflagellar transport (IFT) protein complexes, IFT-A and IFT-B. The IFT-A complex is responsible for retrograde transport, and IFT140 is a core protein in the A complex. Mutations in IFT140 cause a variety of skeletal disorders. However, the expression and role of IFT140 during bone development remain unclear. In this study, to further explore the potential role of IFT140 in osteogenesis, we used cell lineage tracing and conditional knockout to analyze the distribution and function of IFT140-positive cells during bone formation. RESULTS: In newborn Ift140-creER; R26RtdTomato mice, IFT140-positive cells were mainly located in the medullary cavity and then migrated to and differentiated on the surface of trabecular and cortical bone. In contrast, the number of IFT140-positive cells significantly decreased in the adult stage, and these cells were only located in the bone marrow cavity for a short time. In Osx-cre; Ift140flox/flox mice, the loss of IFT140 in preosteoblasts caused bone loss in the trabecular bone area at 10 weeks. CONCLUSION: The results revealed that IFT140-positive cells mainly contribute to the early stage of bone formation.

Enzymatic O-GlcNAcylation of α-synuclein reduces aggregation and increases SDS-resistant soluble oligomers.

Neurodegenerative diseases including dementia with Lewy bodies, Lewy body variant of Alzheimer's disease, and Parkinson's disease are associated with the aberrant aggregation of α-synuclein, which is influenced by several post-translational modifications (PTMs). O-GlcNAcylation is one PTM that has an important role in many fundamental processes. The O-GlcNAcylation of endogenous α-synuclein at residues 53, 64, 72 and 87 has been reported in an unbiased mass spectrum analysis. The consequences of O-GlcNAcylation at residues 72 or 87 have been studied by using a synthetic α-synuclein bearing O-GlcNAcylation at threonine residue 72 or serine 87, respectively. O-GlcNAcylation at Thr72 or Ser87 suppresses the aggregation of α-synuclein. However, the effect of enzymatic O-GlcNAcylation of α-synuclein at multiple residues is not clear. Here, we successfully generated O-GlcNAcylated α-synuclein by co-expressing a shorter form of OGT (sOGT) with α-synuclein. The O-GlcNAcylation inhibited α-synuclein aggregation and promoted the formation of soluble SDS-resistant and Thioflavine T negative oligomers. Our data warrant further studies on the role of O-GlcNAcylation in the progression/treatment of Parkinson's disease in animal models.

Blockade of JAK2 activity suppressed accumulation of ß-catenin in leukemic cells.

The Wnt/ß-catenin pathway has been implicated in leukemogenesis. We found ß-catenin abnormally accumulated in both human acute T cell leukemia Jurkat cells and human erythroleukemia HEL cells. ß-Catenin can be significantly down-regulated by the Janus kinase 2 specific inhibitor AG490 in these two cells. AG490 also reduces the luciferase activity of a reporter plasmid driven by LEF/ß-catenin promoter. Similar results were observed in HEL cells infected with lentivirus containing shRNA against JAK2 gene. After treatment with 50 µM AG490 or shRNA, the mRNA expression levels of ß-catenin, APC, Axin, ß-Trcp, GSK3α, and GSK3ß were up-regulated within 12-16 h. However, only the protein levels of GSK3ß and ß-Trcp were found to have increased relative to untreated cells. Knockdown experiments revealed that the AG490-induced inhibition of ß-catenin can be attenuated by shRNA targeting ß-TrCP. Taken together; these results suggest that ß-Trcp plays a key role in the cross-talk between JAK/STAT and Wnt/ß-catenin signaling in leukemia cells.