Factors influencing thirst in ICU patients: A mixed methods systematic review.

OBJECTIVE: To systematically review the factors influencing thirst in ICU patients, providing a reference for effective management of thirst in ICU patients and the formulation of intervention measures. METHODS: A total of 12 electronic databases were searched from inception to July 2023. The synthesis method of JBI mixed methods research systematic review was used. The quantitative studies were analyzed by Stata17.0 and RevMan 5.3 software, and the qualitative studies by meta-aggregation. RESULTS: A total of 13 studies were included, including 2 qualitative studies and 11 quantitative studies. The quantitative study was carried out by meta-aggregation, extracting seven categories to form two synthesized findings. Quantitative meta-analysis revealed that 11 factors, including marital status, whether to use mechanical ventilation for the first time, air leakage, mechanical ventilation mode, simplified acute physiology score, respiratory rate, mask comfort, serum sodium concentration, breathing pattern, diuretics, and vasoactive drugs, were all associated with the occurrence of thirst in ICU patients. The qualitative and quantitative results were integrated into 5 categories, namely personal characteristics and lifestyle, disease factors, treatment factors, psychological factors, and nurse factors. CONCLUSIONS: Thirst is a prevalent and severe issue among ICU patients, and effective interventions are required to address it. Considering its various causes, managing thirst in ICU patients should involve multiple levels of intervention. Treatment-related factors contribute significantly to thirst, and these factors should be taken into consideration when developing a thirst management strategy. Personal characteristics and lifestyle, psychological factors, drug-related factors, and nursing factors should be identified and optimized as soon as possible. IMPLICATIONS FOR CLINICAL PRACTICE: Healthcare professionals should pay attention to thirst symptoms in ICU patients and promptly take effective preventive or intervention measures based on the influencing factors.

Experiences of the Older Adults After Being Abused: A Qualitative Meta-synthesis.

Elder abuse is a global public health problem with severe social costs. Research on elder abuse has gradually increased; however, less attention has been paid to older adults' perceptions and experiences of abuse. This review aimed to integrate older adults' perceptions and experiences of abuse to provide a theoretical basis for developing interventions that meet their authentic needs. Six electronic databases were searched to include qualitative studies examining perceptions and experiences of abuse among adults aged 60 years or older, and 22 studies were included. This study used the Joanna Briggs Institute meta-aggregation approach to integrate the qualitative findings, which identified four themes: (a) changes resulting from elder abuse, (b) causes of abuse, (c) barrier factors and facilitating factors to the disclosure of abusive behavior, and (d) adopting different response strategies. The findings revealed that older adults experience persistent physical and psychological burdens and financial stress following abuse. Multiple factors influence the emergence of abuse and older adults search for help from the outside world, especially social support and perceptions of abuse. Older adults can deal with abuse by accepting the status quo or taking steps to change it. These findings have important implications for helping older adults prevent and cope with abuse experiences.

Psychometric properties of instruments used to measure the informatics competence of nurses: A systematic review.

AIM: This systematic review aimed to assess the psychometric properties of existing nursing informatics scales of competence and provide an evidence-based basis for selecting the most appropriate assessment instruments for specific populations. BACKGROUND: Informatics competency is one of the fundamental competencies that nurses should have. Using an informatics competency assessment instrument is an effective way to identify competency gaps and develop a professional development plan to address them. However, no systematic reviews summarizing and assessing the psychometric properties of all nursing informatics competency assessment instruments exist. DESIGN: This study systematically reviews measurement properties using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) methodology. METHODS: Eight electronic databases (PubMed, Embase, Web of Science, CINAHL Complete, MEDLINE, PsychInfo, China National Knowledge Infrastructure and WanFang Data) were systematically searched from inception until January 10, 2024. Methodological quality was assessed using the COSMIN Risk of Bias Checklist. We used the COSMIN criteria to summarize and rate the psychometric properties. RESULTS: Twenty-seven studies reported twenty-five various versions of the instruments. Eighteen instruments assessed only one to three psychometric properties. No studies report cross-cultural effectiveness/measurement invariance and measurement error. The quality of evidence for structural validity or internal consistency for the three instruments failed to satisfy the COSMIN criteria. The SANICS-C has moderate to high-quality evidence of adequate content validity and internal consistency. In the end, the SANICS-C was an A recommendation, three instruments were C recommendations and the rest were B recommendations. CONCLUSION: The Nursing Informatics Competencies Scale for Nursing Students, SANICS-C and ICAT can be used to assess the informatics competencies of undergraduate, graduate and doctoral nursing students, respectively. The C-NICAS-FR is recommended for the assessment of nurses' informatics competence. The Self-Assessment Questionnaire for Nursing Informatics Competencies of Nursing Manager can be recommended for assessing nurse leaders' informatics competencies. Future research needs to validate these instruments' cross-cultural applicability further and comprehensively assess their psychometric properties. Along with emerging technologies, researchers should continually revisit and revise existing assessment instruments and develop instruments to assess the informatics competencies of nursing teachers.

RA-Net: reverse attention for generalizing residual learning.

Since residual learning was proposed, identity mapping has been widely utilized in various neural networks. The method enables information transfer without any attenuation, which plays a significant role in training deeper networks. However, interference with unhindered transmission also affects the network's performance. Accordingly, we propose a generalized residual learning architecture called reverse attention (RA), which applies high-level semantic features to supervise low-level information in the identity mapping branch. It means that higher semantic features selectively transmit low-level information to deeper layers. In addition, we propose a Modified Global Response Normalization(M-GRN) to implement reverse attention. RA-Net is derived by embedding M-GRN in the residual learning framework. The experiments show that the RA-Net brings significant improvements over residual networks on typical computer vision tasks. For classification on ImageNet-1K, compared with resnet101, RA-Net improves the Top-1 accuracy by 1.7% with comparable parameters and computational cost. For COCO detection, on Faster R-CNN, reverse attention improves box AP by 1.9%. Meanwhile, reverse attention improves UpperNet's mIoU by 0.7% on ADE20K segmentation.

Effectiveness and Safety of Pyrotinib-Based Therapy in the Treatment of HER2-Positive Breast Cancer Patients with Brain Metastases: A Multicenter Real-World Study.

BACKGROUND: Approximately 30% to 50% of patients with human epidermal growth factor receptor 2-positive metastatic breast cancer develop brain metastasis (BMs). Pyrotinib has shown promising efficacy in these patients. However, real-world evidence supporting its use is scarce. Therefore, we evaluate the efficacy and safety of pyrotinib-based regimens in the real world. MATERIALS AND METHODS: We enrolled patients with BMs from various healthcare facilities in China's Shandong region and used an updated breast-graded prognostic assessment (breast-GPA) to predict survival outcomes. RESULTS: Efficacy and toxicity were assessed in 101 patients. Overall, the median progression-free survival (PFS) was 11.0 months (95% CI, 7.6-14.4 months). PFS was shorter in patients with a breast-GPA of 0 to 2.0 (P< .001). Previous treatment with pertuzumab plus trastuzumab (P = .039) and varying numbers of BMs (P = .028) had a significant positive correlation with PFS. Additionally, radiotherapy (P = .033) for BMs, especially pyrotinib concurrent with radiotherapy (P = .013), significantly prolonged the PFS. In patients with a breast-GPA of 0 to 2.0, a significant difference in PFS was observed depending on whether the brain was the first metastatic site (P< .001). Furthermore, a breast-GPA (0-2.0 vs. 2.5-4.0), and radiotherapy for BMs were found to be independent predictors of PFS. Overall, the objective response rate was 42.6%, while the disease control rate was 88.1%. Diarrhea emerged as the most common adverse event. CONCLUSION: Pyrotinib-based therapy is effective and tolerable in human epidermal growth factor receptor 2-positive metastatic breast cancer with BMs. Patients who underwent radiotherapy for BMs, particularly those who received pyrotinib concurrently with radiotherapy, exhibited a more favorable prognosis.

[Effect of Shikonin on Autophagy and Apoptosis of Human Promyelocytic Leukemia Cells].

OBJECTIVE: To explore the effect of shikonin on autophagy and apoptosis of human promyelocytic leukemia cells and its possible mechanism. METHODS: Human promyelocytic leukemia cells NB4 in the logarithmic growth phase were divided into control group (untreated NB4 cells), shikonin group (0.3 µmol/L shikonin treatment), 740Y-P group (15 µmol/L PI3K/Akt/mTOR pathway activator 740Y-P treatment), shikonin+740Y-P group (0.3 µmol/L shikonin and 15 µmol/L 740Y-P co-treatment), after 24 hours of treatment, the cells were used for subsequent experiments. CCK-8 method was used to detect cell viability, monodansylcadaverine (MDC) staining to detect the aggregation of autophagic vesicles, flow cytometry to detect cell apoptosis, and Western blot to detect the expression of Beclin1, LC3, p62, Bax, cleaved caspase-3, Bcl-2 and PI3K/Akt/mTOR pathway related proteins. RESULTS: Compared with the control group, the purple punctate fluorescence intensity, apoptosis rate, Beclin1, LC3-Ⅱ/LC3-Ⅰ, cleaved caspase-3, and Bax protein expression in NB4 cells were increased in the shikonin group, while OD450 value (24, 48 h) and the expressions of Bcl-2 and p62 proteins were decreased (all P < 0.05). Compared with the control group, the purple punctate fluorescence intensity, apoptosis rate, Beclin1, LC3-Ⅱ/LC3-Ⅰ, cleaved caspase-3, and Bax protein expression in NB4 cells were decreased, while OD450 value (24, 48 h) and the expressions of Bcl-2 and p62 proteins were increased in the 740Y-P group (all P < 0.05). Compared with the shikonin group, the purple punctate fluorescence intensity, apoptosis rate, Beclin1, LC3-Ⅱ/LC3-Ⅰ, cleaved caspase-3, and Bax protein expression in NB4 cells were decreased, while OD450 value (24, 48 h) and the expressions of Bcl-2 and p62 proteins were increased in the shikonin+740Y-P group (all P < 0.05). Compared with the control group, the expression of PI3K/Akt/mTOR pathway related proteins p-PI3K, p-Akt, and p-mTOR in NB4 cells were significantly decreased in the shikonin group, while those in the 740Y-P group were increased (all P < 0.05). Compared with the shikonin group, the expressions of p-PI3K, p-Akt, and p-mTOR proteins in NB4 cells were significantly increased in the shikonin+740Y-P group (all P < 0.05). CONCLUSION: Shikonin may promote autophagy and apoptosis of NB4 cells by inhibiting PI3K/Akt/mTOR pathway.

The palmitoylation of gasdermin D directs its membrane translocation and pore formation during pyroptosis.

Plasma membrane perforation elicited by caspase cleavage of the gasdermin D (GSDMD) N-terminal domain (GSDMD-NT) triggers pyroptosis. The mechanisms underlying GSDMD membrane translocation and pore formation are not fully understood. Here, using a proteomic approach, we identified fatty acid synthase (FASN) as a GSDMD-binding partner. S-palmitoylation of GSDMD at Cys191/Cys192 (human/mouse), catalyzed by palmitoyl acyltransferases ZDHHC5 and ZDHHC9 and facilitated by reactive oxygen species (ROS), directly mediated membrane translocation of GSDMD-NT but not full-length GSDMD (GSDMD-FL). Palmitoylation of GSDMD-FL could be induced before inflammasome activation by stimuli such as lipopolysaccharide (LPS), consequently serving as an essential molecular event in macrophage priming. Inhibition of GSDMD palmitoylation suppressed macrophage pyroptosis and IL-1ß release, mitigated organ damage, and enhanced the survival of septic mice. Thus, GSDMD-NT palmitoylation is a key regulatory mechanism controlling GSDMD membrane localization and activation, which may offer an additional target for modulating immune activity in infectious and inflammatory diseases.

Feasibility study of functional near-infrared spectroscopy in the ventral visual pathway for real-life applications.

Significance: fNIRS-based neuroenhancement depends on the feasible detection of hemodynamic responses in target brain regions. Using the lateral occipital complex (LOC) and the fusiform face area (FFA) in the ventral visual pathway as neurofeedback targets boosts performance in visual recognition. However, the feasibility of utilizing fNIRS to detect LOC and FFA activity in adults remains to be validated as the depth of these regions may exceed the detection limit of fNIRS. Aim: This study aims to investigate the feasibility of using fNIRS to measure hemodynamic responses in the ventral visual pathway, specifically in the LOC and FFA, in adults. Approach: We recorded the hemodynamic activities of the LOC and FFA regions in 35 subjects using a portable eight-channel fNIRS instrument. A standard one-back object and face recognition task was employed to elicit selective brain responses in the LOC and FFA regions. The placement of fNIRS optodes for LOC and FFA detection was guided by our group's transcranial brain atlas (TBA). Results: Our findings revealed selective activation of the LOC target channel (CH2) in response to objects, whereas the FFA target channel (CH7) did not exhibit selective activation in response to faces. Conclusions: Our findings indicate that, although fNIRS detection has limitations in capturing FFA activity, the LOC region emerges as a viable target for fNIRS-based detection. Furthermore, our results advocate for the adoption of the TBA-based method for setting the LOC target channel, offering a promising solution for optrode placement. This feasibility study stands as the inaugural validation of fNIRS for detecting cortical activity in the ventral visual pathway, underscoring its ecological validity. We suggest that our findings establish a pivotal technical groundwork for prospective real-life applications of fNIRS-based research.

Gasdermin E dictates inflammatory responses by controlling the mode of neutrophil death.

Both lytic and apoptotic cell death remove senescent and damaged cells in living organisms. However, they elicit contrasting pro- and anti-inflammatory responses, respectively. The precise cellular mechanism that governs the choice between these two modes of death remains incompletely understood. Here we identify Gasdermin E (GSDME) as a master switch for neutrophil lytic pyroptotic death. The tightly regulated GSDME cleavage and activation in aging neutrophils are mediated by proteinase-3 and caspase-3, leading to pyroptosis. GSDME deficiency does not alter neutrophil overall survival rate; instead, it specifically precludes pyroptosis and skews neutrophil death towards apoptosis, thereby attenuating inflammatory responses due to augmented efferocytosis of apoptotic neutrophils by macrophages. In a clinically relevant acid-aspiration-induced lung injury model, neutrophil-specific deletion of GSDME reduces pulmonary inflammation, facilitates inflammation resolution, and alleviates lung injury. Thus, by controlling the mode of neutrophil death, GSDME dictates host inflammatory outcomes, providing a potential therapeutic target for infectious and inflammatory diseases.

TransVQA: Transferable Vector Quantization Alignment for Unsupervised Domain Adaptation.

Unsupervised Domain adaptation (UDA) aims to transfer knowledge from the labeled source domain to the unlabeled target domain. Most existing domain adaptation methods are based on convolutional neural networks (CNNs) to learn cross-domain invariant features. Inspired by the success of transformer architectures and their superiority to CNNs, we propose to combine the transformer with UDA to improve their generalization properties. In this paper, we present a novel model named Trans ferable V ector Q uantization A lignment for Unsupervised Domain Adaptation (TransVQA), which integrates the Transferable transformer-based feature extractor (Trans), vector quantization domain alignment (VQA), and mutual information weighted maximization confusion matrix (MIMC) of intra-class discrimination into a unified domain adaptation framework. First, TransVQA uses the transformer to extract more accurate features in different domains for classification. Second, TransVQA, based on the vector quantization alignment module, uses a two-step alignment method to align the extracted cross-domain features and solve the domain shift problem. The two-step alignment includes global alignment via vector quantization and intra-class local alignment via pseudo-labels. Third, for intra-class feature discrimination problem caused by the fuzzy alignment of different domains, we use the MIMC module to constrain the target domain output and increase the accuracy of pseudo-labels. The experiments on several datasets of domain adaptation show that TransVQA can achieve excellent performance and outperform existing state-of-the-art methods.

Metabolomic analysis identifies dysregulation of lipid metabolism in the immune clearance phase of chronic hepatitis B patients.

There is an accelerated progression of liver necroinflammation and fibrosis in the liver during the immune clearance (IC) phase of Chronic hepatitis B virus (HBV) infection, which are critical indicators of antiviral treatment for chronic hepatitis B (CHB) infection. This study applied serum metabolomics to identify the potential metabolite biomarkers for differential diagnosis between the CHB immune tolerance (IT) and Immune clearance (IC) phases. A liquid chromatography-mass spectrometry (LC-MS)-based approach was applied to evaluate and compared the serum metabolic profiles of 28 patients in IT phase and 33 patients in IC phase and appropriate statistical methods with MetaboAnalystR 2.0 R package to analyze those metabolites. The differential metabolites between IT and TC groups were classified and the top altered classification were lipids and lipid-like molecules and fatty acyls, clearly indicating that there were differences in the lipid metabolomic profile of HBV-infected patients with IT vs. IR phase. We identified the top 10 potential metabolite biomarkers for differential diagnosis between IT and IR. There were four lipid metabolites among them and the AUC of two of them, octadecadienoyl-sn-glycero-3-phosphocholine and 3-Cycloheptene-l-acetic acid, were 0.983 and 0.933. octadecadienoyl-sn-glycero-3-phosphocholine is Diacylglycerol (18:2n6/18:0) and 3-Cycloheptene-l-acetic acid is hydroxy fatty acids, both of which were associated with lipid metabolism. This study not only provides the potential metabolic biomarkers but also insight into the mechanism of CHB progression during IT clearance phase.

Assessment tools for stigma in breast cancer patients based on COSMIN guidelines: a systematic review.

OBJECTIVE: The objective of this study was to conduct a systematic review of the measurement properties and methodological quality of stigma assessment tools designed for breast cancer patients. The aim was to provide clinical medical staff with a foundation for selecting high-quality assessment tools. METHODS: A comprehensive computer search was carried out across various databases, including SinoMed, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science and Technology Journal Database(VIP), Embase, PubMed, Web of Science, The Cochrane Library, and Scopus, which were searched from the inception of the databases until March 20, 2023. Literature screening and data extraction were performed independently by two researchers, adhering to predefined inclusion and exclusion criteria. The assessment tools were evaluated using the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) systematic evaluation guidelines. RESULTS: In the final analysis, a total of 9 assessment tools were included. However, none of these tools addressed measurement error, cross-cultural validity, criterion validity, and responsiveness. Following the COSMIN guidelines, BCSS and CSPDS were assigned to Class A recommendations, while the remaining tools received Class B recommendations. CONCLUSION: The BCSS and CSPDS scales demonstrated comprehensive assessment in terms of their measurement characteristics, exhibiting good methodological quality, measurement attribute quality, and supporting evidence. Therefore, it is recommended to utilize these scales for evaluating breast cancer stigma. However, further validation is required for the remaining assessment tools.

U-shaped association between triglyceride and risk of incident diabetes in normoglycemic males with NAFLD: A population-base cohort study.

Background: Serum triglyceride (TG) was an important biomarker for nonalcoholic fatty liver disease (NAFLD), and the association between TG and incident type 2 diabetes mellitus is still under debate with some studies suggesting that elevated TG increase the risk of incident T2DM while others indicative of a negative relationship. These controversial findings may be partially due to the inclusion of the participants with NAFLD. The association between TG and incident type 2 diabetes mellitus in people with NAFLD remained unclear. Therefore, this study aimed to characterize the relationship between the baseline TG levels and incident type 2 diabetes mellitus in a male Japanese cohort with NAFLD. Methods: A total of 1221 males with NAFLD were enrolled from the Nagala (NAFLD in the Gifu Area Longitudinal analysis) study conducted from 2004 to 2015. Cox proportional hazards models were performed to examine the relationship between baseline TG concentration and incident type 2 diabetes mellitus. A two-piecewise linear regression model was explored to evaluate the threshold effect of the baseline TG levels on type 2 diabetes mellitus incidence by using a smoothing function. Results: During a median follow-up of 6.05 years, 39 males with NAFLD at baseline developed type 2 diabetes mellitus. The risk of incident type 2 diabetes mellitus was significantly associated with baseline TG concentration in males with NAFLD after fully adjustment for confounders, with per 10 mg/dl elevation in TG levels increasing the risk of incident diabetes by 8.5% (HR=1.085, CI=1.039-1.132; P<0.001). However, no typical dose-dependent positive association between type 2 diabetes mellitus incidence and the TG levels was observed across the TG tertiles. Interestingly, a U-shaped association between TG concentration and risk of incident type 2 diabetes mellitus was revealed by the two-piecewise linear regression analysis. Baseline TG concentration lower than the threshold values (TG <53mg/dl) were negatively associated with risk of incident type 2 diabetes mellitus. With each 10mg/dl increase in baseline TG levels, the risk of incident type 2 diabetes mellitus decreased by nearly 59% (HR=0.413, 95% CI=0.220-0.778). In contrast, when TG levels were higher than the threshold values (TG>53mg/dl), the risk of incident diabetes increased 9.1% with every 10mg TG elevation (HR=1.091, 95% CI=1.046-1.137). Conclusions: A U-shaped relationship was observed between baseline TG levels and incident type 2 diabetes mellitus in a male normoglycemic Japanese population with NAFLD, although extrapolation of the finding to other populations should be made with caution.

Maternal Embryonic Leucine Zipper Kinase is Associated with Metastasis in Triple-negative Breast Cancer.

Triple-negative breast cancer (TNBC) has high relapse and metastasis rates and a high proportion of cancer stem-like cells (CSC), which possess self-renewal and tumor initiation capacity. MELK (maternal embryonic leucine zipper kinase), a protein kinase of the Snf1/AMPK kinase family, is known to promote CSC maintenance and malignant transformation. However, the role of MELK in TNBC metastasis is unknown; we sought to address this in the current study. We found that MELK mRNA levels were higher in TNBC tumors [8.11 (3.79-10.95)] than in HR+HER2- tumors [6.54 (2.90-9.26)]; P < 0.001]. In univariate analysis, patients with breast cancer with high-MELK-expressing tumors had worse overall survival (P < 0.001) and distant metastasis-free survival (P < 0.01) than patients with low-MELK-expressing tumors. In a multicovariate Cox regression model, high MELK expression was associated with shorter overall survival after adjusting for other baseline risk factors. MELK knockdown using siRNA or MELK inhibition using the MELK inhibitor MELK-In-17 significantly reduced invasiveness, reversed epithelial-to-mesenchymal transition, and reduced CSC self-renewal and maintenance in TNBC cells. Nude mice injected with CRISPR MELK-knockout MDA-MB-231 cells exhibited suppression of lung metastasis and improved overall survival compared with mice injected with control cells (P < 0.05). Furthermore, MELK-In-17 suppressed 4T1 tumor growth in syngeneic BALB/c mice (P < 0.001). Our findings indicate that MELK supports metastasis by promoting epithelial-to-mesenchymal transition and the CSC phenotype in TNBC. Significance: These findings indicate that MELK is a driver of aggressiveness and metastasis in TNBC.

Unfolded protein response inhibits KAT2B/MLKL-mediated necroptosis of hepatocytes by promoting BMI1 level to ubiquitinate KAT2B.

Unfolded protein response (UPR) plays an important role in the pathogenesis of many liver diseases. BMI1 has a liver protection effect, but whether it participates in the regulation of hepatocyte death through UPR is not well defined. Herein, the endoplasmic reticulum stress model was established by inducing hepatocyte line (MIHA) with tunicamycin (TM, 5 µg/ml). Cell counting kit-8 assay and flow cytometry were used to evaluate the viability and apoptosis of hepatocytes. The expression levels of BMI1, KAT2B, and proteins related to UPR (p-eIF2α, eIF2α, ATF4, and ATF6), NF-κB (p65 and p-p65), apoptosis (cleaved caspase-3, bcl-2, and bax) and necroptosis (p-MLKL and MLKL) were determined by Western blot. The relationship between KAT2B and BMI1 was determined by co-immunoprecipitation and ubiquitination assay. The results showed that TM not only promoted UPR, apoptosis, and necroptosis in hepatocytes but also upregulated the expression levels of BMI1 and KAT2B and activated NF-κB pathway. BAY-117082 reversed the effects of TM on viability, apoptosis, NF-κB pathway, and BMI1 but strengthened the effects of TM on KAT2B/MLKL-mediated necroptosis. BMI1 promoted the ubiquitination of KAT2B, and BMI1 overexpression reversed the effects of TM on viability, apoptosis, and KAT2B/MLKL-mediated necroptosis. In summary, overexpression of BMI1 promotes the ubiquitination of KAT2B to block the MLKL-mediated necroptosis of hepatocytes.

Few-shot human-object interaction video recognition with transformers.

We propose a novel few-shot learning framework that can recognize human-object interaction (HOI) classes with a few labeled samples. We achieve this by leveraging a meta-learning paradigm where human-object interactions are embedded into compact features for similarity calculation. More specifically, spatial and temporal relationships of HOI in videos are constructed with transformers which boost the performance over the baseline significantly. First, we present a spatial encoder that extracts the spatial context and infers frame-level features of a human and objects in each frame. And then the video-level feature is obtained by encoding a series of frame-level feature vectors with a temporal encoder. Experiments on two datasets, CAD-120 and Something-Else, validate that our approach achieves 7.8% and 15.2% accuracy improvement on 1-shot task, 4.7% and 15.7% on 5-shot task, which outperforms the state-of-the-art methods.

[Effect of three mixing methods on air bubbles and solidification state of alginate impression materials].

PURPOSE: To evaluate the effect of full-automatic mixing machine method, clockwise manual mixing and combined eight-shaped manual mixing on air bubble content, flowability, temperature, working time and setting time of alginate impression materials. METHODS: With the same condition, alginate impression materials were mixed by three different methods. The number of bubbles, area, flowability, temperature, working time and setting time were evaluated with SPSS 24.0 software package. RESULTS: The number of bubbles in the automatic mixing group was (2.30±2.50), and the area was (0.17±0.18) mm2, which was less than the number of clockwise manual mixing group (59.60±14.19), and the total area (7.41±2.24) mm2 (P＜0.01). The flowability of the clockwise manual mixing group [(39.52±0.85) mm] was less than that of the full-automatic mixing group [(50.78±0.90) mm] and the combined eight-character manual mixing group [(50.36±1.75) mm](P＜0.01).The setting time of the material mixed by three methods was eligible for clinical use. CONCLUSIONS: The mixing method of alginate impression material has an effect on material's bubble content, flowability and temperature changes. The impression materials mixed by full-automatic mixing method are better in terms of bubble content, flowability and other properties. If manual mixing is used, combined eight-shaped manual mixing method can help reduce impression bubbles and deformation, and improve flowability.

[Relationship between sICAM-1, IL-1ß and HIF-1α levels in gingival sulcus fluid and peri-implantitis in patients with implant restoration].

PURPOSE: To investigate the relationship between the levels of soluble intercellular adhesion molecule-1 (sICAM-1), interleukin-1ß (IL-1ß) and hypoxia-inducible factor-1α (HIF-1α) in gingival sulcus fluid and peri-implantitis (PI) in patients with implant restoration. METHODS: A total of 198 patients with implant restoration admitted to Fengcheng Hospital from January 2019 to December 2021 were selected, the patients were divided into PI and non-PI group according to whether the implant restoration was complicated by PI 3 months after restoration. The levels of sICAM-1, IL-1ß and HIF-1α in the gingival sulcus fluid prior to implant restoration were measured by enzyme-linked immunosorbent assay. Multi-factor logistic regression was used to analyze the factors influencing concurrent PI in patients with implant restoration. ROC curves were used to analyze the predictive value of sICAM-1, IL-1ß and HIF-1α levels in gingival sulcus fluid on concurrent PI in patients with implant restoration. SPSS 28.0 software package was used for statistical processing of the data. RESULTS: The incidence of PI in 198 patients with implant restoration was 17.68% (35/198) 3 months after implant restoration. The levels of sICAM-1, IL-1ß and HIF-1α in the gingival sulcus fluid were significantly higher in the PI group than in the non-PI group (P＜0.05). Multi-factor logistic regression analysis showed that elevated sICAM-1(OR=1.135, 95%CI: 1.066-1.208), IL-1ß (OR=1.106, 95%CI: 1.054-1.161) and HIF-1α (OR=1.008, 95%CI: 1.004-1.012) were independent risk factors for complications of PI in prosthetic patients(P＜0.05). ROC curve analysis showed that the area under the curve for sICAM-1, IL-1ß and HIF-1α levels in gingival sulcus fluid alone and in combination for the diagnosis of concurrent PI in patients with implantation was 0.787, 0.785, 0.794 and 0.930, respectively, with sensitivity of 80.00%, 74.29%, 62.86% and 88.57% and specificity of 66.87%, 74.85%, 78.53% and 85.28%, respectively. CONCLUSIONS: Elevated levels of sICAM-1, IL-1ß and HIF-1α in gingival sulcus fluid are independent risk factors for PI complications in patients with implant restoration and can be used as an auxiliary predictor of PI complications in patients with implant restoration.