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Aims: To develop multiple machine learning (ML) models based on the prognostic nutritional index (PNI) and determine the optimal model for predicting long‐term survival outcomes in hepatocellular carcinoma (HCC) patients after local ablation. Methods: From January 2009 to December 2019, we analyzed data from 848 primary HCC patients who underwent local ablation. ML models were constructed and evaluated using the concordance index (C‐index), concordance‐discordance area under curve (C/D AUC), and Brier scores. The optimal ML model was interpreted using the partial dependence plot (PDP) and SHapley Additive exPlanations (SHAP) framework. Additionally, the prognostic performance of our model was compared with other models. Results: Alkaline phosphatase, preoperation alpha‐fetoprotein level, PNI, tumor number, and tumor size were identified as independent prognostic factors for ML model construction. Among the 19 ML algorithms tested, the Aorsf model showed superior performance in both the training cohort (C/D AUC: 0.733; C‐index: 0.736; Brier score: 0.133) and validation cohort (C/D AUC: 0.713; C‐index: 0.793; Brier score: 0.117). The time‐dependent AUC of the Aorsf model for predicting overall survival was as follows: 1‐, 3‐, 5‐, 7‐, and 9‐year were 0.828, 0.765, 0.781, 0.817, and 0.812 in the training cohort, 0.846, 0.859, 0.824, 0.845, and 0.874 in the validation cohort, respectively. The PDP and SHAP algorithms were employed for visual interpretation. Furthermore, time‐AUC and decision curve analysis demonstrated that the Aorsf model provided superior clinical benefits compared to other models. Conclusion: The PNI‐based Aorsf model effectively predicts long‐term survival outcomes after ablation therapy, making a significant contribution to HCC research by improving surveillance, prevention, and treatment strategies. [ABSTRACT FROM AUTHOR]

Forest litter can decompose faster at home sites than at guest sites (home-field advantage, HFA), yet few studies have focused on the response of the HFA of native plant decomposition to the presence of invasive plants. We loaded the dry leaves of native Neosinocalamus affinis (decomposition resistant) and Ficus virens (more easily decomposable) leaves into litterbags with and without invasive Alternanthera philoxeroides, and incubated these litterbags at N. affinis and F. virens sites at the edge of the forest. The results showed that positive HFA effects with litter mass loss were at least 1.32% faster at home sites than at guest sites. The addition of A. philoxeroides reduced the mean HFA of N. affinis litter and increased that of F. virens litter. The HFA index without A. philoxeroides was significantly higher than that with A. philoxeroides. Soil faunal abundance colonized at home sites was always higher than that colonized at guest sites. Compared with the F. virens site, the abundance of Collembola, Arachnida, Formicidae and Lepismatidae at the N. affinis site was significantly higher compared to the F. virens site, while the abundance of Isopoda, Oligochaeta, Nematoda and Dermaptera was significantly lower. Our results indicate that invasive plants may regulate HFA effects by promoting the decomposition of native plants and increasing fauna abundance. Particularly, soil fauna groups play a very important role in this process. Our findings help us to re-understand the role of invasive plants in material cycling and energy flow in the context of achieving carbon neutrality goals. [ABSTRACT FROM AUTHOR]

The aim of this study was to explore the role of NADH:ubiquinone oxidoreductase subunit B3 (NDUFB3) in human gynecological malignancies and to screen potential natural compounds targeting it. GEPIA and HPA databases were used to study the expression characteristics of NDUFB3. GO and KEGG enrichment analyses were performed using the R software clusterProfiler package. GSEA for NDUFB3 was performed using the LinkedOmics database. Natural compounds targeting NDUFB3 were screened by virtual screening and molecular docking. After NDUFB3 was depleted or wedelolactone treatment, cell proliferation was detected by CCK‐8 assay. The production of reactive oxide species (ROS) in tumor cells was detected by dihydroethidium fluorescent probe. The cell cycle and apoptosis were evaluated by flow cytometry. It was revealed that NDUFB3 was highly expressed in ovarian cancer (OV), uterine corpus endometrial carcinoma (UCEC), and cervical squamous cell carcinoma (CESC). NDUFB3 expression was associated with multiple immunomodulators in CESC, OV, and UCEC. NDUFB3 was predicted to modulate MAPK signaling pathways in CESC, OV, and UCEC. Knocking down NDUFB3 inhibited the proliferation of CESC, OV, and UCEC cells, increased intracellular ROS production, and induced cell cycle arrest and apoptosis. Wedelolactone was a potential small molecule with a strong ability to bind with the active pocket of NDUFB3, and wedelolactone could kill CESC, OV, and UCEC cells partly via NDUFB3. In conclusion, NDUFB3 may be a potential biomarker and a new target for gynecological tumors, and wedelolactone may exert antitumor activity via targeting NDUFB3. [ABSTRACT FROM AUTHOR]

Background and aims: Numerous research have focused on the relationship of metabolic markers and stroke risk, yet limited research has focused on the triglyceride glucose-waist circumference (TyG-WC) index. This study explored the possible association of TyG-WC and stroke among moderately aged and old Chinese adults over 45 years of age. Methods: This observational cohort analysis involved 9054 participants from the Chinese Longitudinal Study of Health and Retirement and employed a standardized questionnaire administered via in-person interviews. Cox proportional hazard model, smoothed curve fitting, and threshold effect analysis were conducted for examining the potential nonlinear relationships among TyG-WC and stroke risk. Results: Within an average follow-up period of six years, 463 new strokes occurred, representing 5.11% of the total number of patients. After adjusting for possible confounding factors, a nonlinear association between TyG-WC and stroke risk was identified, with a significant dose–response relationship (P = 0.023 for the log-likelihood ratio test). A turning point was identified at the TyG-WC level of 554.48, beyond that the likelihood of stroke increased markedly (HR = 1.323, 95% CI = 1.098–1.594, P = 0.003). Conclusion: This study revealed a specific curvilinear association with the TyG-WC score and stroke risk, identifying a key threshold value. This study focused on Chinese middle-aged and senior adults over the age of 45, emphasizing that increased stroke risk is linked to higher TyG-WC levels. [ABSTRACT FROM AUTHOR]

Background and aims: Numerous research have focused on the relationship of metabolic markers and stroke risk, yet limited research has focused on the triglyceride glucose-waist circumference (TyG-WC) index. This study explored the possible association of TyG-WC and stroke among moderately aged and old Chinese adults over 45 years of age. Methods: This observational cohort analysis involved 9054 participants from the Chinese Longitudinal Study of Health and Retirement and employed a standardized questionnaire administered via in-person interviews. Cox proportional hazard model, smoothed curve fitting, and threshold effect analysis were conducted for examining the potential nonlinear relationships among TyG-WC and stroke risk. Results: Within an average follow-up period of six years, 463 new strokes occurred, representing 5.11% of the total number of patients. After adjusting for possible confounding factors, a nonlinear association between TyG-WC and stroke risk was identified, with a significant dose–response relationship (P = 0.023 for the log-likelihood ratio test). A turning point was identified at the TyG-WC level of 554.48, beyond that the likelihood of stroke increased markedly (HR = 1.323, 95% CI = 1.098–1.594, P = 0.003). Conclusion: This study revealed a specific curvilinear association with the TyG-WC score and stroke risk, identifying a key threshold value. This study focused on Chinese middle-aged and senior adults over the age of 45, emphasizing that increased stroke risk is linked to higher TyG-WC levels. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to evaluate the association between stress hyperglycemia ratio (SHR) and poor functional outcomes at 90 days in patients with acute ischemic stroke (AIS). Methods: This study retrospectively collected 1988 AIS patients admitted to two hospitals in the Shenzhen area between January 2022 and March 2023. A total of 1255 patients with Fasting Blood-glucose (FBG) and hemoglobin A1c (HbA1C) values at admission were included in this analysis. SHR, measured by FBG/HbA1C, was evaluated as both a tri-categorical variable (Tertile 1: ≤ 0.83; Tertile 2: 0.84 -0.95; Tertile 3: ≥ 0.96). The outcome was poor functional outcomes (modified Rankin Scale [mRS] score 2–6) at 90 days. We performed univariate analysis, multiple equation regression analysis, stratified analysis, and interactive analysis. Results: Compared with patients in the lowest tertile of SHR, the highest tertile group had significantly lower odds of achieving poor functional outcomes (adjusted odds ratio, OR = 2.84, 95% CI: 2.02–3.99, P < 0.0001) at 90 days after adjusting for potential covariates. Similar results were observed after further adjustment for white blood cell count, neutrophil count, lymphocyte count, fasting blood glucose, stroke type, intravenous thrombolytic therapy, baseline Glasgow score, and baseline NIHSS score. Conclusion: SHR, as measured by the FBG/HbA1C, was associated with an increased odds of achieving poor functional outcomes in patients with AIS at 90 days. [ABSTRACT FROM AUTHOR]

Group re-identification (GReID) aims to correctly associate images containing the same group members captured with non-overlapping camera networks, which has important applications in video surveillance. Unlike the person re-identification, the unique challenge of GReID lies in variations of group structure, including the number and layout of members. Current methods use certainty modeling, in which the specific group structure presented in each image is considered. However, certainty modeling can only describe finite group structures and shows poor generalization for unseen group structures, i.e., group variations that do not exist in the training set. In this paper, we propose a methodology called uncertainty modeling, which excavates near-infinite group structures from finite samples by simulating variations in both number and layout. Specifically, member uncertainty treats the number of intra-group members as a truncated Gaussian distribution instead of a fixed value and then simulates member variations by dynamic sampling. Layout uncertainty constructs random affine transformations about the positions of members to enlarge the fixed schemes in the training set. To implement the proposed methodology, we technically propose an Uncertainty-Modeling Second-Order Transformer (UMSOT) that extracts a first-order token for each member and further uses these tokens to learn a second-order token as a group feature. The UMSOT exploits the structural advantages of the transformer to explicitly extract layout features and efficiently integrate appearance and layout features, which are hardly achievable by current CNN- and GNN-based methods. Comprehensive experiments on four datasets (CSG, SYSUGroup, RoadGroup, and iLIDS-MCTS), fully demonstrate the superiority of the proposed method, which surprisingly outperforms the state-of-the-art method by 30.4% in Rank1 on the CSG dataset. https://github.com/LinlyAC/UMSOT. [ABSTRACT FROM AUTHOR]

Objectives: The prevention of mother‐to‐child transmission of HIV has been a global success. But little is known about the growth parameters of infants delivered by mothers with HIV or the drug resistance of infants with HIV in China. The study aimed to assess growth parameters and drug resistance in Chinese infants exposed to HIV. Methods: We conducted an 18‐month longitudinal follow‐up study of 3283 infants (3222 without HIV; 61 with HIV) born to mothers with HIV in the Guangxi Zhuang Autonomous Region between January 2015 and December 2021. The weight and length of all participants was recorded. In addition, genetic subtypes and drug resistance analysis were performed for infants with HIV. Results: Compared with infants without HIV, those with HIV had significantly lower weight/length Z‐scores, except at 18 months of age. The length/age Z‐scores of infants with HIV was significantly reduced, except at 1 month of age. The weight/age Z‐scores of infants with HIV were significantly lower at all follow‐up time points. The weight/length Z‐scores of male infants without HIV were significantly lower than for female infants without HIV at all follow‐up time points. Male infants without HIV had lower length/age and weight/age Z‐scores than female infants at the remaining follow‐up points, except at 1 month of age. Of a total of 61 infants with HIV, subtype and drug‐resistance data were obtained from 37 (60.66%) samples. Infants with HIV were dominated by the CRF01_AE genotype and showed a diversity of mutation sites dominated by non‐nucleoside reverse transcriptase inhibitor resistance. Conclusion: Our study demonstrates the growth of infants exposed to HIV in southwest China and provides detailed information on subtype distribution and drug resistance of those with HIV. Nutritional support and drug‐resistance surveillance for infants exposed to HIV need to be strengthened. [ABSTRACT FROM AUTHOR]

Three‐dimensional display has been a widely researched technology, offering an abundance of depth cues to enhance the overall visual experience. The volumetric display system has significant advantages due to its ability to be viewed from any angle and without the need for auxiliary devices. However, the issue of deviation between the rotating axis and the display plane was not taken into consideration in the previous systems. Therefore, we innovatively propose an axis‐shift slicing algorithm for volumetric display systems, leading to improved accuracy and reliability of the image slices data. Moreover, a prototype based on a novel collaborative control scheme as well as a creative software simulator is designed and implemented, laying the foundation for further development and refinement. Finally, the results from both simulations and experiments have demonstrated the effectiveness of the proposed axis‐shift algorithm and the designed volumetric display system. [ABSTRACT FROM AUTHOR]

To develop and validate a nomogram that includes the total CSVD burden score to predict mild VCI in patients with T2DM. Methods: A total of 322 eligible participants with T2DM who were divided into mild and normal cognitive groups were enrolled in this retrospective study. Demographic data, laboratory data and imaging markers of CSVD were collected. The total CSVD burden score was calculated by combining the different CSVD markers. Step-backward multivariable logistic regression analysis with the Akaike information criterion was applied to select significant predictors and develop a best-fit predictive nomogram. The performance of the nomogram was assessed in terms of discriminative ability, calibrated ability, and clinical usefulness. Results: The nomogram model consisted of five variables: age, education, hemoglobin A1c level, serum homocysteine level, and total CSVD burden score. A nomogram with these variables showed good discriminative ability (area under the receiver operating characteristic curve was 0.801 in internal verification). In addition, the Hosmer-Lemeshow test (χ2 =9.226, P=0.417) and bootstrap-corrected calibration plot indicated that the nomogram had good calibration. The Brier score of the predictive model was 0.178. Decision curve analysis demonstrated that when the threshold probability ranged between 16% and 98%, the use of the nomogram to predict mild VCI in patients with T2DM provide a greater net benefit. Conclusions: The nomogram, composed of age, education, stroke, HbA1c level, Hcy level, and total CSVD burden score, had good predictive accuracy and may provide clinicians with a practical tool for predicting the risk of mild VCI in T2DM patients. [ABSTRACT FROM AUTHOR]

Background: Asthma is the most common allergic disease characterized by an inflammatory response in the airways. Mechanismly, urban particulate matter (PM) is the most widely air pollutant associated with increased asthma morbidity and airway inflammation. Current research found that vitamin D is an essential vitamin with anti-inflammatory, antioxidant and other medical efficacy. Inadequate or deficient vitamin D often leads to the pathogenesis and stability of asthma. NGF exacerbates airway inflammation in asthma by promoting smooth muscle cell proliferation and inducing the Th2 immune response. Activation of the Nrf2/HO-1 signaling pathway can exert a protective effect on the inflammatory response in bronchial asthma. However, the specific mechanism of this pathway in PM-involved asthmatic airway smooth muscle cells remains unclear. Methods: Mice were sensitized and challenged with Ovalbumin (OVA) to establish an asthma model. They were then exposed to either PM, vitamin D or a combination of both, and inflammatory responses were observed. Including, acetylcholine stimulation at different concentrations measured airway hyperresponsiveness in mice. Bronchoalveolar lavage fluid (BALF) and serum were collected for TNF-α, IL-1β, IL-6, and Nerve growth factor (NGF) analysis. Additionally, lung tissues underwent histopathological examination to observe alveolar structure and inflammatory cell infiltration. Specific ELISA kits were utilized to determine the levels of the inflammatory factors TNF-α, IL-1β, IL-6, and Nerve growth factor (NGF). Nrf2/HO-1 signaling pathways were examined by western blot analysis. Meanwhile, we constructed a cell system with low HO-1 expression by lentiviral transfection of airway smooth muscle cells. The changes of Nrf2, HO-1, and NGF were observed after the treatment of OVA, PM, and Vit D were given. Results: The in vivo results showed that vitamin D significantly alleviated pathological changes in lung tissue of PM-exposed mice models. Mechanismly, vitamin D decreased substantial inflammatory cell infiltration in lung tissue, as well as the number of inflammatory cells in BALF. Furthermore, vitamin D reduced the heightened inflammatory factors including of TNF-α, IL-1β, IL-6, and NGF caused by PM exposure, and triggered the activity of nucleus Nrf2 and HO-1 in PM-exposed asthmatic mice. Notably, knockdown HO-1 weakens the Vitamin D- mediated inhibition to pollution toxicity in asthma. Importantly, in vitro experiments on OVA-stimulated mice airway smooth muscle cells, the results showed that OVA and PM, respectively, reduced Nrf2/HO-1 and increased NGF's expression, while vitamin D reversed the process. And in the HO-1 knockdown cell line of Lenti-si-HO-1 ASMCs, OVA and PM reduced Nrf2's expression, while HO-1 and NGF's expression were unchanged. Conclusions: The above results demastrate that vitamin D downregulated the inflammatory response and the expression of NGF by regulating the Nrf2/HO-1 signaling pathways in airway smooth muscle cells, thereby showing potent anti-inflammatory activity in asthma. [ABSTRACT FROM AUTHOR]

Arterial pulse waveforms contain a wealth of information about the cardiovascular system. There is a lack of physical meaning in the mathematical model of arterial pulse waves, while the physical model fails to offer individuality as too many assumptions are involved. In this article, we focus on promoting the interpretability of the arterial pulse mathematical model. The proposed method is based on newly developed 3‐term fitting functions individualized by the physiological parameter assignment, which are the peak times of the reflected and dicrotic waves in a pulse. In this manner, the model allows decomposition of the pulse into sub‐signals with clear physiological significance. With nearly 10,000 pulse fitting experiments, it is demonstrated that the proposed method outperforms the standard methods in fitting accuracy while providing parameters linked to hemodynamic characteristics and common clinical indices such as the peripheral augmentation index (pAI). The proposed method innovatively maintains the individuality and accuracy of mathematical models while improving the interpretability of their parameters. The applications of this newly developed method, which explicitly incorporates hemodynamic characteristics, are expected to be particularly valuable in future pulse wave decomposition studies. [ABSTRACT FROM AUTHOR]

Background: We tested the hypothesis that radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC) promotes tumor cell release and explored a method for reducing these effects. Methods: A green fluorescent protein-transfected orthotopic HCC model was established in 99 nude mice. In vivo flow cytometry was used to monitor circulating tumor cell (CTC) dynamics. Pulmonary fluorescence imaging and pathology were performed to investigate lung metastases. First, the kinetics of CTCs during the periablation period and the survival rate of CTCs released during RFA were investigated. Next, mice were allocated to controls, sham ablation, or RFA with/without hepatic vessel blocking (ligation of the portal triads) for evaluating the postablation CTC level, lung metastases, and survival over time. Moreover, the kinetics of CTCs, lung metastases, and mice survival were evaluated for RFA with/without ethanol injection. Pathological changes in tumors and surrounding parenchyma after ethanol injection were noted. Statistical analysis included t-test, ANOVA, and Kaplan-Meier survival curves. Results: CTC counts were 12.3-fold increased during RFA, and 73.7% of RFA-induced CTCs were viable. Pre-RFA hepatic vessel blocking prevented the increase of peripheral CTCs, reduced the number of lung metastases, and prolonged survival (all p ≤ 0.05). Similarly, pre-RFA ethanol injection remarkably decreased CTC release during RFA and further decreased lung metastases with extended survival (all p ≤ 0.05). Histopathology revealed thrombus formation in blood vessels after ethanol injection, which may clog tumor cell dissemination during RFA. Conclusion: RFA induces viable tumor cell dissemination, and pre-RFA ethanol injection may provide a prophylactic strategy to reduce this underestimated effect. Relevance statement: RFA for HCC promotes viable tumor cell release during ablation, while ethanol injection can prevent RFA induced tumor cell release. Key points: • RFA induced the release of viable tumor cells during the ablation procedure in an animal model. • Hepatic vessel blocking can suppress tumor cells dissemination during RFA. • Ethanol injection can prevent RFA-induced tumor cell release, presumably because of the formation of thrombosis. [ABSTRACT FROM AUTHOR]

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Objective: To develop and validate a nomogram based on liver stiffness (LS) for predicting symptomatic post-hepatectomy (PHLF) in patients with hepatocellular carcinoma (HCC). Methods: A total of 266 patients with HCC were enrolled prospectively from three tertiary referral hospitals from August 2018 to April 2021. All patients underwent preoperative laboratory examination to obtain parameters of liver function. Two-dimensional shear wave elastography (2D-SWE) was performed to measure LS. Three-dimensional virtual resection obtained the different volumes including future liver remnant (FLR). A nomogram was developed by using logistic regression and determined by receiver operating characteristic (ROC) curve analysis and calibration curve analysis, which was validated internally and externally. Results: A nomogram was constructed with the following variables: FLR ratio (FLR of total liver volume), LS greater than 9.5 kPa, Child–Pugh grade, and the presence of clinically significant portal hypertension (CSPH). This nomogram enabled differentiation of symptomatic PHLF in the derivation cohort (area under curve [AUC], 0.915), internal fivefold cross-validation (mean AUC, 0.918), internal validation cohort (AUC, 0.876) and external validation cohort (AUC, 0.845). The nomogram also showed good calibration in the derivation, internal validation, and external validation cohorts (Hosmer–Lemeshow goodness-of-fit test, p = 0.641, p = 0.06, and p = 0.127, respectively). Accordingly, the safe limit of the FLR ratio was stratified using the nomogram. Conclusion: An elevated level of LS was associated with the occurrence of symptomatic PHLF in HCC. A preoperative nomogram integrating LS, clinical and volumetric features was useful in predicting postoperative outcomes in patients with HCC, which might help surgeons in the management of HCC resection. Clinical relevance statement: A serial of the safe limit of the future liver remnant was proposed by a preoperative nomogram for hepatocellular carcinoma, which might help surgeons in 'how much remnant is enough in liver resection'. Key Points: • An elevated liver stiffness with the best cutoff value of 9.5 kPa was associated with the occurrence of symptomatic post-hepatectomy liver failure in hepatocellular carcinoma. • A nomogram based on both quality (Child–Pugh grade, liver stiffness, and portal hypertension) and quantity of future liver remnant was developed to predict symptomatic post-hepatectomy liver failure for HCC, which enabled good discrimination and calibration in both derivation and validation cohorts. • The safe limit of future liver remnant volume was stratified using the proposed nomogram, which might help surgeons in the management of HCC resection. [ABSTRACT FROM AUTHOR]

Ni-rich cathode materials can be used to manufacture high energy density lithium-ion batteries because of their higher specific capacity. However, Ni-rich materials have some problems unsolved such as the poor long cycle life and low safety performance. A series of side reactions will occur between the material surface and the electrolyte, which seriously affect the structural stability of materials. Surface coating is an effective means to improve the electrochemical performance of Ni-rich materials. In this paper, it is the first time to coat low-cost polyethylene (PE) on the surface of Ni-rich materials (NCM811), which effectively reduces the side reaction at the interface between electrolyte and materials, enhances the structural stability of materials during the cycle, and reduces the charge transfer resistance. The NCM811 material coated with PE at room temperature still has a specific capacity of about 180 mAh·g−1 after 100 cycles at 1C, and the capacity retention rate reaches about 99%. The cycle stability at 45 °C and 4.4 V are also significantly enhanced. DSC test showed that the heat release of the coated material was reduced by 18.7%; the heat release peak was also increased by 3.7 °C; and the material safety was improved. [ABSTRACT FROM AUTHOR]

Background: The family with sequence similarity 20-member C (FAM20C) kinase, a Golgi casein kinase, which is responsible for phosphorylating the majority of the extracellular phosphoproteins within S-x-E/pS motifs, and is fundamentally associated with multiple biological processes to maintain cell proliferation, biomineralization, migration, adhesion, and phosphate homeostasis. In dissecting how FAM20C regulates downstream molecules and potential mechanisms, however, there are multiple target molecules of FAM20C, particularly many phenomena remain elusive, such as changes in cell-autonomous behaviors, incompatibility in genotypes and phenotypes, and others. Methods: Here, assay for transposase-accessible chromatin using sequencing (ATAC-seq), RNA sequencing (RNA-seq), proteomics, and phosphoproteomics were performed in Fam20c-dificient osteoblasts and to facilitate an integrated analysis and determine the impact of chromatin accessibility, genomic expression, protein alterations, signaling pathway, and post translational modifcations. Results: By combining ATAC-seq and RNA-seq, we identified TCF4 and Wnt signaling pathway as the key regulators in Fam20c-dificient cells. Further, we showed Calpastatin/Calpain proteolysis system as a novel target axis for FAM20C to regulate cell migration and F-actin cytoskeleton by integrated analysis of proteomics and phosphoproteomics. Furthermore, Calpastatin/Calpain proteolysis system could negatively regulate the Wnt signaling pathway. Conclusion: These observations implied that Fam20c knockout osteoblasts would cause cell homeostatic imbalance, involving changes in multiple signaling pathways in the conduction system. [ABSTRACT FROM AUTHOR]

Objective: To investigate the association between retinal microvascular diameters and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). Methods: A total of 690 patients with T2DM were included in this retrospective study. Patients were divided into DKD and non-DKD groups according to urine microalbumin/creatinine ratio and estimated glomerular filtration rate. Retinal microvascular diameters were measured by the automated retinal image analysis system. Multivariate logistic regression analysis and restricted cubic splines were used to assess the relationships between the retinal microvascular diameters and DKD in patients with T2DM. Results: Multivariate logistic regression showed that widened diameters of retinal venules and narrowed diameters of retinal arterioles were associated with DKD after adjusting for potential confounding variables. There was a significant linear trend between the diameters of superior temporal retinal venula (P for trend < 0.001, P for non-linearity = 0.080), inferior temporal retinal venula (P for trend < 0.001, P for non-linearity = 0.111) and central retinal venular equivalent (CRVE) (P for trend < 0.001, P for non-linearity = 0.392) and risk of DKD in patients with T2DM. The restricted cubic splines showed that narrowed retinal arteriolar diameters, superior and inferior nasal retinal venulas were associated with the risk of DKD in a non-linear fashion (all P for non-linearity < 0.001). Conclusion: Wider retinal venular diameters and narrower retinal arteriolar diameters were associated with an increased risk of DKD in patients with T2DM. Widened retinal venular diameters, especially CRVE, superior and inferior temporal retinal venula, were positively associated with an increased risk of DKD in a linear fashion. In contrast, narrowed retinal arteriolar diameters were associated with the risk of DKD in a non-linear fashion. [ABSTRACT FROM AUTHOR]

Dulaglutide is a new type of hypoglycemic agent that agonizes glucagon-like peptide-1 receptor (GLP-1RA). It can be concluded from previous studies that a GLP-1RA can reduce apoptosis and regulate autophagy in the nervous system, while related research on dulaglutide in vascular dementia (VD) has not been reported. In our study, the VD rat model was established by bilateral carotid artery occlusion, and the results of the Morris water maze test (MWM) and open-field test showed that the application of dulaglutide could effectively reduce the cognitive decline of VD rats without changing the behavior in the open-field test, which was used to assess an anxiety-like phenotype. We applied HE staining and immunofluorescence labeling to show that dulaglutide treatment significantly alleviated neuronal damage in the hippocampal region of VD rats, and reduced microglial and astrocyte proliferation. Western blot results showed that dulaglutide reduced VD-induced neuronal apoptosis (BCL2/BAX, c-caspase3) and autophagy (P62, LC3B, Beclin-1), and upregulated phosphorylation of PI3K/Akt/mTOR signaling pathway. KEGG pathway analysis of RNA-Sequence results showed that the differentially expressed genes in the dulaglutide treatment group were significantly enriched in the mTOR signaling pathway, and the repressor of mTOR, Deptor, was down-regulated. In conclusion, this study suggested that dulaglutide may alleviate learning and memory impairment and neuron damage in VD rats by attenuating apoptosis, regulating autophagy, and activating the PI3K/Akt/mTOR signaling pathway in neurons, which may make it a promising candidate for the simultaneous treatment of VD and diabetes. [ABSTRACT FROM AUTHOR]

Background: Ageing poses a huge challenge to the Chinese social welfare system. However, a national long-term care (LTC) instrument has not been established yet. This study aimed to analyse and compare the content of six selected LTC instruments based on the linkage of the International Classification of Functioning, Disability and Health (ICF) to provide a content reference from a functioning perspective for the development of a Chinese national LTC instrument. Methods: Two trained health professionals performed the linkage analysis according to the refined ICF linking rules. The main concepts included in the items of three international LTC instruments, namely Minimum Data Set 3.0 (MDS 3.0), Initial Assessment Instrument (IAI), and New Assessment Tool for Determining Dependency on Nursing Care (NBA), as well as three Chinese instruments, namely Disability Assessment of Long-Term Care (DA-LTC), Specification for Elderly Care Unified Need Assessment in Shanghai Version 2.0 (SEC-UNA 2.0), and pictorial-based Longshi Scale (LS), were selected and linked to the ICF categories. The six selected LTC instruments were analysed and compared at the levels of ICF components, chapters, and categories. Results: The main concepts of 340 items of the six LTC instruments were linked to 112 different ICF categories. Within the ICF framework, the 'Activities and Participation' component was most frequently addressed in the LTC instruments, followed by 'Body functions', at 52% and 38%, respectively. At the chapter level, 'b1 mental functions', 'd4 mobility', and 'd5 self-care' were addressed by the majority of LTC instruments. Conclusion: The ICF provides a general reference for the analysis and comparison of different LTC instruments. The findings indicate that all LTC instruments focused on older adults' physical needs; however, various important issues regarding their psychological and social participation needs were not addressed. Specific for China, the core elements of LTC instruments varied, and the ICF chapters 'b1', 'd4', and 'd5' are recommended to develop a national uniform one. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To investigate the influencing factors of the image quality of shear wave elastography (SWE) performed using a high-frequency probe and its reproducibility for renal allografts. METHODS: A total of 211 patients with transplanted kidneys who underwent SWE examination performed using high-frequency or low-frequency probes were recruited for the study. The reproducibility of inter- and intraobserver agreements were analysed by using the intraclass correlation coefficient (ICC). According to the colour filling of the area of interest and imaging noise when conducting SWE, the image quality was classified as three grades: "good", "common", and "poor". A logistic regression was used to analyse the independent factors for SWE quality. RESULTS: In the comparative analysis, high frequency, transection measurement and middle pole were selected as the appropriate measurement methods. Regarding reproducibility, the ICCs) of the intra- and interobserver agreements were 0.85 and 0.77, respectively. Multivariate analysis indicated that only the skin allograft distance and kidney width were independent variables for SWE quality. In the subgroup analysis of the skin-allograft distance, the "good" and "common" rates of images decreased as the distance increased, but the CV (coefficients of variation) showed the opposite trend. The SWE quality of kidney width <5.4 cm was significantly better than that of kidney width ≥5.4 cm. CONCLUSIONS: High-frequency SWE can be used in the evaluation of transplanted kidneys due to its good repeatability and high successful measurement rate, but we should pay attention to the influence of the skin-allograft distance and kidney width on SWE quality. [ABSTRACT FROM AUTHOR]

Objective: To develop and assess the Quality of Life Instruments for Chronic Diseases-Gout QLICD-GO (V2.0). Methods: The instrument was developed using a programmatic decision-making method to combine the general module of the Quality of Life Instruments for Chronic Diseases and a new specific module. The instrument was assessed by measuring the quality of life of 116 patients with gout. Results: The QLICD-GO (V2.0) included 28 items from the general module of chronic diseases and 12 items in three facets from the specific module. In addition to the field of physiological function, the internal consistency reliability of other fields and dimensions of the instrument was > 0.7, and the split-half reliability was > 0.5. Three common factors were extracted from the specific module, with a cumulative variance contribution rate of 57.54%. The standardized response means of the specific module and the whole instrument were 0.94 and 1.20, respectively. Conclusions: The QLICD-GO (V2.0) has good reliability, validity, and responsiveness. The instrument comprehensively and objectively reflects the quality of life of patients with gout, and it can be used to assess treatment regimens developed by medical staff. Key Points • The QLICD-GO (V2.0) has been developed for patients with gout based upon the foundation of the QLICD-GM. • The QLICD-GO reflects the clinical signs and symptoms, drug-related side effects, and psychological changes specific to patients with gout. • Based on the assessment results, the QLICD-GO (V2.0) has good reliability, validity, and responsiveness. • QLICD-GO (V2.0) can objectively and comprehensively reflect the QOL of patients with gout and can be used by clinical staff to assess treatment regimens. [ABSTRACT FROM AUTHOR]

However, only patients with the highest level of SII were significantly statistically associated with severe CSVD burden, suggesting elevated SII may increase the severity of CSVD. In the current study, we explored whether a higher level of SII increases the severity of CSVD burden and the risk of cognitive impairment, as well as whether the effects of higher SII on cognitive impairment are mediated by the severe CSVD burden. Third, the effect of higher SII on the development of cognitive impairment was partly mediated by severe CSVD burden, supporting the hypothesis that increased SII may aggravate CSVD, which in turn increases cognitive impairment risk. [Extracted from the article]

Objectives: To construct a nomogram with high-frequency shear wave elastography (SWE) as a noninvasive method to accurately assess chronic changes in renal allografts. Methods: A total of 191 renal transplantation patients (127 cases in the training group and 64 cases in the verification group) were included in this study. All patients received conventional ultrasound and high-frequency SWE examination, followed directly by biopsy the next day. The chronic changes were divided into mild, moderate, and severe. Multivariate logistic analyses were used to select significant variables, which were used to develop the nomogram. Nomogram models were assessed by receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Results: The cutoff value of SWE in mild, moderate, and severe chronic changes was 18.9, 22.5, and 27.6 kPa, respectively. The areas under the curve (AUCs) of SWE in the differential diagnosis of mild and moderate to severe chronic changes and mild to moderate and severe chronic changes were 0.817 and 0.870, respectively. Multivariate analysis showed that time since transplantation, proteinuria, glomerular filtration rate, echogenicity, and SWE were independent diagnostic factors for moderate to severe chronic changes (all p < 0.05); thus, a nomogram was successfully developed. The AUCs of the nomogram in the training and validation groups were 0.905 and 0.938, respectively. The high agreement between the model predictions and the actual observations was confirmed by calibration plot and DCA. Conclusions: Based on SWE, the nomogram provided an insightful and applicable tool to evaluate chronic changes in renal allografts. Key Points: • In kidney transplantation, compared with acute changes, chronic changes are significantly correlated with cortical stiffness. • SWE shows good performance in identifying mild to moderate and severe chronic changes, with an AUC of 0.870. • Time since transplantation, proteinuria, glomerular filtration rate, echogenicity, and SWE are independent diagnostic factors for moderate to severe chronic changes in renal allografts. [ABSTRACT FROM AUTHOR]

Purpose: Radiofrequency ablation (RFA) and stereotactic body radiotherapy (SBRT) are available locoregional curative treatments for nonsurgical Hepatocellular carcinoma (HCC) patients. We aimed to compare the clinical efficacy and safety of SBRT versus RFA for HCC. Methods: A computerized bibliographic search was performed using PubMed, Embase, the Cochrane Library and Web of Science to identify comparative studies. The primary outcome was overall survival (OS), and the secondary outcomes were freedom from local progression (FFLP) and treatment-related complications. Results: In total, there were 17 trials involving 22,180 patients. Patients receiving RFA showed significantly better 1-, 2- year OS (OR 0.69, 95% CI 0.50–0.96, P = 0.141,OR 0.69, 95% CI 0.53–0.89, P = 0.082), whereas SBRT resulted in significantly better 1-, 2-, 3- year FFLP (OR 2.19, 95% CI 1.44–3.34, P = 0.303; OR 1.57, 95% CI 1.12–2.19, P = 0.268; OR 2.22, 95% CI 1.70–2.90, P = 0.470). There were no significant differences for 3-, 5- year OS in both groups (OR 0.94, 95% CI 0.65–1.38, P = 0.001; OR 0.98, 95% CI 0.68–1.34, P = 0.016). The overall treatment-related complication rate did not differ significantly between the two treatment arms, while SBRT was significantly associated with Child–Pugh worsening. Conclusions: Though SBRT has excellent FFLP, RFA yields superior short-term survival for HCC. But the discrepancy between FFLP and OS requires further investigation. [ABSTRACT FROM AUTHOR]

This study aims to evaluate the treatment outcomes of radiofrequency ablation (RFA) for patients with non-B non-C hepatocellular carcinoma (HCC) (NBNC-HCC) within Milan criteria, as well as to compare them with those of patients with hepatitis B virus (HBV)-related HCC (HBV-HCC). From January 2007 to February 2020, 303 patients with primary HCC who underwent RFA were retrospectively reviewed, including 259 patients with HBV-HCC (HBV-HCC group) and 44 patients with NBNC-HCC (NBNC-HCC group). The clinical characteristics and treatment survivals were evaluated and compared. Moreover, the propensity score matching was used to reduce selection bias. A significantly lower proportion of cirrhosis was observed in the NBNC-HCC group (p =.048). Before propensity score matching, local tumor progression, disease-free survival, and overall survival after RFA showed no significant differences between the two groups (all p >.05). After matching, the overall survival rates in the NBNC-HCC group were significantly better than those in the HBV-HCC group (p =.042). Moreover, for patients with NBNC-HCC, tumor size (hazard ratio = 8.749, 95% confidence interval, 1.599–47.849; p =.012) was the only independent predictor of local tumor progression. Patients with NBNC-HCC within the Milan criteria after RFA had better long-term survival than patients with HBV-HCC, although larger, prospective and multicenter trials are required to validate these results. [ABSTRACT FROM AUTHOR]

The aim of this study was to develop prognostic scores, including the tumor burden score (TBS) and albumin-bilirubin (ALBI) grade, for evaluating the outcomes of hepatocellular carcinoma (HCC) patients after radiofrequency ablation (RFA). This retrospective study enrolled treatment-naïve HCC patients with BCLC 0-A who underwent RFA between January 2009 and December 2019. Regular follow-up was conducted after RFA to determine progression-free survival (PFS) and overall survival (OS). The patients were randomly allocated to the training or validation datasets in a 1:1 ratio. Preoperative prognostic scores were developed based on the results of multivariate analysis. The discriminatory ability of the scores was assessed using time-dependent AUC and compared with other models. Serum alpha-fetoprotein (AFP) level and TBS were identified as independent prognostic factors for PFS, while serum AFP, TBS, and ALBI were identified as independent prognostic factors for OS in HCC patients after RFA. The time-dependent AUCs of the AFP-TBS score for the 1-, 3-, and 5-year PFS were 0.651, 0.667, and 0.620, respectively, in the training set, and 0.657, 0.687, and 0.704, respectively, in the validation set. For the 1-, 3-, and 5-year OS, the time-dependent AUCs were 0.680, 0.712, and 0.666, respectively, in the training set, and 0.712, 0.706 and 0.726 in the validation set for the AFP-TBS-ALBI score (ATA). The C-indices and AIC demonstrated that the scores provided better clinical benefits compared to other models. The ATA/AT score, derived from clinical and objective laboratory variables, can assist in individually predicting the prognosis of HCC patients undergoing curative RFA. [ABSTRACT FROM AUTHOR]

Personalized Fixation-based Object Segmentation (PFOS) aims at segmenting the gazed objects in images conditioned on personalized fixations. However, the performances of existing PFOS methods are degraded when facing anomalous fixation maps (some fixations fall in the background) or enormous objects because of their poor localization ability. In this paper, we propose a novel Selective Intra-image Similarity Network (SISNet) that achieves significant performance by precisely localizing the gazed objects. First, we propose a Response Purifying Module (RPM) to eliminate the false response regions caused by anomalous fixations in the background. By suppressing these false responses, we can significantly reduce the negative impacts caused by anomalous fixations. Second, we propose an intra-image similarity module (ISM) to better localize large objects by integrating more long-range information. In addition, we propose a new Discriminative Intersection-over-Union metric that evaluates whether PFOS methods can produce distinctive predictions for varying fixations. Experiments on the PFOS and our proposed OSIE-CFPS-UN datasets prove that our network achieves remarkable improvements and outperforms existing state-of-the-art methods. Code has been published at https://www.github.com/moothes/SISNet. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to develop and validate a combined nomogram model based on deep learning (DL) contrast-enhanced ultrasound (CEUS) and clinical factors to preoperatively predict the aggressiveness of pancreatic neuroendocrine neoplasms (PNENs). Methods: In this retrospective study, consecutive patients with histologically proven PNENs underwent CEUS examination at the initial work-up between January 2010 and October 2020. Patients were randomly allocated to the training and test sets. Typical sonographic and enhanced images of PNENs were selected to fine-tune the SE-ResNeXt-50 network. A combined nomogram model was developed by incorporating the DL predictive probability with clinical factors using multivariate logistic regression analysis. The utility of the proposed model was evaluated using receiver operator characteristic, calibration, and decision curve analysis. Results: A total of 104 patients were evaluated, including 80 (mean age ± standard deviation, 47 years ± 12; 56 males) in the training set and 24 (50 years ± 12; 14 males) in the test set. The DL model displayed effective image recognition with an AUC of 0.81 (95%CI: 0.62–1.00) in the test set. The combined nomogram model that incorporated independent clinical risk factors, such as tumor size, arterial enhancement level, and DL predictive probability, showed strong discrimination, with an AUC of 0.85 (95%CI: 0.69–1.00) in the test set with good calibration. Decision curve analysis verified the clinical usefulness of the combined nomogram. Conclusions: The combined nomogram model could serve as a preoperative, noninvasive, and precise evaluation tool to differentiate aggressive and non-aggressive PNENs. Key Points: • Tumor size (odds ratio [OR], 1.58; p = 0.02), arterial enhancement level (OR, 0.04; p = 0.008), and deep learning predictive probability (OR, 288.46; p < 0.001) independently predicted aggressiveness of pancreatic neuroendocrine neoplasms preoperatively. • The combined model predicted aggressiveness better than the clinical model (AUC: 0.97 vs. 0.87, p = 0.009), achieving AUC values of 0.97 and 0.85 in the training set and the test set, respectively. [ABSTRACT FROM AUTHOR]

Aims: To describe adult intensive care nurses' experiences and attitudes towards intrahospital transport (IHT) of critically ill patients and to assess the relationship between nurses' characteristics, attitudes and experiences. Design Cross‐sectional survey. Methods: Factor analysis identified factors within the attitudinal and experience domains. Univariate analysis was performed to demonstrate the relationship between attitudinal and experience factors and demographic and professional characteristics of the participants. Multiple regression equations were applied to determine associations between nurses' experiences and attitudes. The study took place from July to August 2019. Results: A total of 480 nurses from 12 adult intensive care units in China participated, with a response rate of 65%. Most respondents had a baccalaureate nursing degree (75%). The majority (80%) had participated in IHT of critically ill more than five times in the previous 12 months and 90% agreed that checklists led to an improvement in patient safety during transport. However, 75% of respondents expressed that transport increased the workload of the nurses who accompany patients off unit and those who remained in the intensive care unit (66%). Variables that were associated with a favourable perception of transport competency and checklists/tool use were nurses' prior transport experiences and knowledge/training. Conclusion: Nurses perceived IHT was a sourse of stress and increased workload. Checklists and training were beneficial for patient safety during IHT. Impact The findings point out a clear need for ICU nurse training, standardised policy/procedure and customisation of existing intrahospital transfer checklists according to hospital procedures and local circumstances. New research is needed to evaluate the impact of novel IHT interventions on patient safety and nurses' stress. [ABSTRACT FROM AUTHOR]

Learning discriminative and rich features is an important research task for person re-identification. Previous studies have attempted to capture global and local features at the same time and layer of the model in a non-interactive manner, which are called synchronous learning. However, synchronous learning leads to high similarity, and further defects in model performance. To this end, we propose asynchronous learning based on the human visual perception mechanism. Asynchronous learning emphasizes the time asynchrony and space asynchrony of feature learning and achieves mutual promotion and cyclical interaction for feature learning. Furthermore, we design a dynamic progressive refinement module to improve local features with the guidance of global features. The dynamic property allows this module to adaptively adjust the network parameters according to the input image, in both the training and testing stage. The progressive property narrows the semantic gap between the global and local features, which is due to the guidance of global features. Finally, we have conducted several experiments on four datasets, including Market1501, CUHK03, DukeMTMC-ReID, and MSMT17. The experimental results show that asynchronous learning can effectively improve feature discrimination and achieve strong performance. [ABSTRACT FROM AUTHOR]

Pose Guided Person Image Generation (PGPIG) is a popular task in deepfake, which aims at generating a person image with the given pose based on the source image. However, existing methods cannot comprehensively model the correlation between the source and the target domain. Most of them only focus on the correlation of the keypoints but ignore detail textures. In this paper, we propose a novel Texture Correlation Network (TCN) to simultaneously build pose and texture correlations. Specifically, our TCN adopts a two-stage design, including two networks: Pose Guided Person Alignment Network (PGPAN) and Texture Correlation Attention Network (TCAN). The PGPAN generates a coarse person image aligned with the target pose, while the TCAN produces a target generated image with the guidance of multiple correlations. The key component of TCAN is our new module, Texture Correlation Attention Module (TCAM), which explicitly builds geometry and texture correlation between the source image and the coarse target image. Those kinds of correlations facilitate to transfer real textures from the source to the target. Extensive experiments on the DeepFashion and Market1501 benchmarks demonstrate the superior performance of the proposed method. In addition, our model only uses 8.5 million parameters, which is significantly smaller than other methods. [ABSTRACT FROM AUTHOR]

In this contribution, the electronic structures of two polymer donors (PBDB-T and PBDB-T-SF) and two non-fullerene acceptors (ITIC and IT-4F) are researched by density functional theory and time-dependent density functional theory, respectively. The research purpose is to rationalize the relationship between observed experimental performances and structural properties and obtain the effects of structures on their photovoltaic performances. The investigated properties involve in the structure characteristics, absorption spectra, carrier mobilities, and exciton dissociation properties at interfaces to locate the essences of different power conversion efficiency between PBDB-T/ITIC and PBDB-T-SF/IT-4F. The results suggest that both PBDB-T/ITIC and PBDB-T-SF/IT-4F systems have stable structures and relatively high HOMO levels, which benefits to relatively large VOC values. In addition, the larger PCE of PBDB-T-SF/IT-4F system originates from PBDB-T-SF's large hole transport properties and better exciton dissociation ability. Furthermore, the F and S incorporations enhance hole mobilities and exciton dissociation ability. Consequently, the theoretical results coincide well with the experimental ones. [ABSTRACT FROM AUTHOR]

Due to the high theoretical specific capacity, silicon materials have been developed worldwide to meet the requirement of energy storage in lithium ion batteries. But the low conductivity and large volume expansion (300%) of Si usually cause poor cycling stability during charge/discharge processes. Here, a novel approach to fabricating a porous micro-structure of graphene wrapping silicon nanoparticles and polyaniline skeleton is proposed. The polyaniline skeleton grafted silicon nanoparticles is obtained by an in situ polymerization and the graphene sheets further wrap on the skeleton owing to an enhancement of π conjugation between the polyaniline and graphene. Thus, a 3D conductive and porous micro-structure is synthesized, which not only facilitates the electron and lithium ion transfer but also enhances the stability of structure during the volume expansion of Si. Benefiting from the advantages of structure, the electrode can deliver a reversible specific capacity of 2473 mAh g−1 at 0.2 A g−1 and 958 mAh g−1 at 10 A g−1. The electrode can keep a stable cycling with a capacity retention of 70% and 60% for 100 and 200 cycles at 25 °C, respectively. The method provides a promising strategy for solving the issues of silicon in lithium ion batteries. [ABSTRACT FROM AUTHOR]

Person re-identification is to match the same person between non-overlapping cameras. This paper focuses on unsupervised video-based person re-identification. The mainstream approach is to obtain pseudo-labels by clustering samples for training the classification model. In this scheme, a potential threat is that noisy pseudo-labels may damage the optimization of the model. To mitigate this danger, we propose using a Successive Consensus Clustering framework for optimizing the pseudo-labels and the model iteratively. First, we leverage consensus clustering with respect to multiple frames of a video, which can generate high-quality pseudo-labels for pedestrians. Secondly, we develop contrastive learning based on the cluster successive memory mechanism, which can establish the correlation between different epochs of clustering so that makes the training of the model stable. Experiments on three large-scale data sets show that our method outperforms the previous state-of-the-art method, surpassing 10.6% for rank-1 and 18.6% for mAP on Mars, and 9.6% for rank-1 and 13.3% for mAP on DukeMTMC-VideoReID. [ABSTRACT FROM AUTHOR]

Featured Application: This study proposes a novel cross-channel DWRPCA algorithm for multi-channel pulse signal de-noising. This algorithm can extract features from multiple cycles in each channel with dynamic weighting according to the signal patterns of channels in a single sensor. This algorithm can separate noise from the main frequency band of the input pulse signal. Pulse wave analysis (PWA) has been widely used in the medical field. A novel multi-channel sensor is employed in arterial pulse acquisition and brings richer physiological information to PWA. However, the noise of this sensor is distributed in the main frequency band of the pulse signal, which seriously interferes with subsequent analyses and is difficult to eliminate by existing methods. This study proposes a cross-channel dynamic weighting robust principal component analysis algorithm. A channel-scaled factor technique is used to manipulate the weighting factors in the nuclear norm. This factor can adaptively adjust the weights among the channels according to the signal pattern of each channel, optimizing the feature extraction in multi-channel signals. A series of performance evaluations were conducted, and four well-known de-noising algorithms were used for comparison. The results reveal that the proposed algorithm achieved one of the best de-noising performances in the time and frequency domains. The mean of h1 in the amplitude relative error (ARE) was 23.4% smaller than for the WRPCA algorithm. Moreover, our algorithm could accelerate convergence and reduce the computational time complexity by approximately 34.6%. These results demonstrate the performance and efficiency of the algorithm. Meanwhile, the idea can be extended to other multi-channel physiological signal de-noising and feature extraction fields. [ABSTRACT FROM AUTHOR]

N-Acylethanolamine acid amidase (NAAA) is a lysosomal enzyme responsible for the hydrolysis of fatty acid ethanolamides (FAEs). However, the role of NAAA in FAEs metabolism and regulation of pain and inflammation remains mostly unknown. Here, we generated NAAA-deficient (NAAA-/-) mice using CRISPR-Cas9 technique, and found that deletion of NAAA increased PEA and AEA levels in bone marrow (BM) and macrophages, and elevated AEA levels in lungs. Unexpectedly, genetic blockade of NAAA caused moderately effective anti-inflammatory effects in lipopolysaccharides (LPS)-induced acute lung injury (ALI), and poor analgesic effects in carrageenan-induced hyperalgesia and sciatic nerve injury (SNI)-induced mechanical allodynia. These data contrasted with acute (single dose) or chronic NAAA inhibition by F96, which produced marked anti-inflammation and analgesia in these models. BM chimera experiments indicated that these phenotypes were associated with the absence of NAAA in non-BM cells, whereas deletion of NAAA in BM or BM-derived cells in rodent models resulted in potent analgesic and anti-inflammatory phenotypes. When combined, current study suggested that genetic blockade of NAAA regulated FAEs metabolism and inflammatory responses in a cell-specifical manner. [ABSTRACT FROM AUTHOR]

Polyethylene oxide (PEO) was one of the most classic and widely used solid polymer electrolyte matrixes. In this work, we added the previously synthesized titanium dioxide (B-P25) fillers with oxygen vacancies to the PEO-LiClO4 solid electrolyte system. It is found that compared with the pristine P25 fillers, the oxygen vacancies lead to the decrease of ionic conductivity and the Li+ transference number. Infrared and Raman spectroscopy shows that the introduction of oxygen vacancies lead to the formation of Li+-ClO4− ion pairs and the decrease of carrier concentration resulted in the decrease of Li+ conductivity. Further theoretical calculations verified that this is due to the preferential combination of oxygen vacancies and ether oxygen atoms of PEO. This finding effectively supplements the effect of oxide oxygen vacancies on the conduction of Li+ in the PEO matrix, and not all oxygen vacancies are beneficial to the conduction of Li+ ions in the PEO matrix. [ABSTRACT FROM AUTHOR]

To investigate the effect of invasive Alternanthera philoxeroides mats on native leaf litter decomposition, we allocated two native leaf species of contrasting recalcitrance (Neosinocalamus affinis and Ficus virens) in litterbags with four different mesh sizes (0.025, 0.042, 0.5, and 5 mm) and the bags were either incubated under floating A. philoxeroides mats (Vegetated site) or under floating plastic foam boards without A. philoxeroides mats (Unvegetated site) for 65 days in Jianhu Lake, China, in July 2020. The average decomposition rates increased with pore size of litterbags. The interaction intensity of the site effect in leaf mass loss was negative in 0.025 mesh and positive in other meshes, while no significance existed between two native species in the same mesh sizes and sites. The contribution of microbes to decomposition was more than 50% in both sites. The contribution in the vegetation site was as follows: microbes > microinvertebrates > meioinvertebrates > macroinvertebrates, compared with microbes > macroinvertebrates > meioinvertebrates > microinvertebrates in the unvegetated site. The results suggest that A. philoxeroides mats can promote the decomposition of native leaf litter, and that the roles of micro-, meio-, and macroinvertebrates in decomposition are important but underestimated. [ABSTRACT FROM AUTHOR]

Objective: Type 2 diabetes (T2D) is a risk factor for cognitive impairment and cerebral small vessel disease (CSVD). The relation of metformin use and cognitive impairment or CSVD is not clear. The objective of this study was to investigate the cross-sectional effects of long-term use of metformin on total CSVD burden and cognitive function in patients with T2D. Methods: A total of 234 participants with T2D from the memory clinic in Hebei General Hospital were enrolled in this retrospective study. Duration of metformin use and dosage were recorded. Along with cerebral magnetic resonance imaging (MRI) examination, Mini-Mental State Examination (MMSE) was also performed to assess their cognitive status. We determined the validated total CSVD score (ranging from 0–4) by combining four markers of CSVD that were visually rated. We used binary logistic regression analysis, ordinal logistic regression analysis and mediation analysis to assess the relation of long-term use of metformin with CSVD burden and cognitive function. Results: Binary logistic regression analysis showed long-term use of metformin was associated with reducing the risk of cognitive impairment (OR: 0.446; 95% Confidence Interval (CI): 0.249 to 0.800; P = 0.007), after adjustment of potential confounders, such as total CSVD burden score, age, HbA1c, hypertension, history of stroke, homocysteine, body mass index, TG and HDL-C. Ordinal logistic regression analysis suggested that long-term use of metformin was associated with alleviation of total CSVD burden score (OR: 0.583; 95% CI: 0.359 to 0.943; P = 0.027), after adjusting for age, HbA1c, hypertension, history of stroke, homocysteine, body mass index, TG and HDL-C. Mediation analysis showed significant mediation by the presence of severe CSVD burden score for long-term use of metformin in relation to cognitive impairment. Conclusion: Long-term use of metformin was associated with lower rates of cognitive impairment and lower total CSVD burden score in patients with T2D. A proportion of the relation between long-term use of metformin and cognitive impairment may be attributable to alleviation of CSVD burden. [ABSTRACT FROM AUTHOR]

Objectives: To analyze the contrast-enhanced ultrasound (CEUS) characteristics of pediatric patients with focal liver lesions (FLLs) and develop a pediatric liver CEUS criterion to improve the diagnostic performance of CEUS in differentiating pediatric benign and malignant liver lesions. Methods: Between March 2011 and May 2020, patients < 18 years who underwent CEUS were retrospectively evaluated. The CEUS characteristics of FLLs were analyzed. A pediatric liver CEUS criterion categorized as CEUS-1 to CEUS-5 was developed. The diagnostic performance of the criterion (i.e., sensitivity, specificity, PPV, and NPV) was assessed. Chi-square and Mann-Whitney tests were used. Results: After exclusion, the study included 130 lesions (mean diameter, 7.1 cm; range, 0.8–17.0 cm) from 130 patients (mean age, 36.0 months; range, 0.03–204.0 months; 74 boys). Hyperenhancement with washout in patients < 5 years or with early washout (≤ 45 s) was used to predict hepatoblastoma, with a sensitivity and specificity of 90.7% (95% confidence interval [CI]: 77.9%, 97.4%) and 93.6% (95% CI: 84.3%, 98.2%), respectively. Peripheral discontinuous globular hyperenhancement was used to diagnose hemangioma, with a sensitivity and specificity of 84.6% (95% CI: 65.1%, 95.6%) and 100% (95% CI: 95.4%, 100.0%), respectively. The rates of malignancies within the pediatric liver CEUS-1, CEUS-2, CEUS-3, CEUS-4, and CEUS-5 categories were 0.0%, 0.0%, 5.6%, 50.0%, and 96.1%, respectively. Besides, the incidences of hepatoblastoma in pediatric liver CEUS-3, CEUS-4, and CEUS-5 were 5.6%, 16.7%, and 67.5%, respectively. Conclusions: The pediatric liver CEUS criterion is useful in differentiating benign focal liver lesions from malignancies, especially hepatoblastoma from hemangioma. Key Points: • Hyperenhancement with washout in patients

The Bmp2 and Bmp4 expressed in root mesenchyme were essential for the patterning and cellular differentiation of tooth root. The role of the epithelium-derived Bmps in tooth root development, however, had not been reported. In this study, we found that the double abrogation of Bmp2 and Bmp4 from mouse epithelium caused short root anomaly (SRA). The K14-cre ; Bmp2 f/f ; Bmp4 f/f mice exhibited a persistent Hertwig's Epithelial Root Sheath (HERS) with the reduced cell death, and the down-regulated BMP-Smad4 and Erk signaling pathways. Moreover, the Shh expression in the HERS, the Shh-Gli1 signaling, and Nfic expression in the root mesenchyme of the K14-cre ; Bmp2 f/f ; Bmp4 f/f mice were also decreased, indicating a disrupted epithelium- mesenchyme interaction between HERS and root mesenchyme. Such disruption suppressed the Osx and Dspp expression in the root mesenchyme, indicating an impairment on the differentiation and maturation of root odontoblasts. The impaired differentiation and maturation of root odontoblasts could be rescued partially by transgenic Dspp. Therefore, although required in a low dosage and with a functional redundancy, the epithelial Bmp2 and Bmp4 were indispensable for the HERS degeneration, as well as the differentiation and maturation of root mesenchyme. [ABSTRACT FROM AUTHOR]

RGB-Infrared (RGB-IR) cross-modality person re-identification (re-ID) is attracting more and more attention due to requirements for 24-h scene surveillance. However, the high cost of labeling person identities of an RGB-IR dataset largely limits the scalability of supervised models in real-world scenarios. In this paper, we study the unsupervised RGB-IR person re-ID problem (or briefly uRGB-IR re-ID) in which no identity annotations are available in RGB-IR cross-modality datasets. Considering that intra-modality (i.e., RGB-RGB or IR-IR) re-ID is much easier than cross-modality re-ID and can provide shared knowledge for RGB-IR re-ID, we propose a two-stage method to solve the uRGB-IR re-ID, namely homogeneous-to-heterogeneous learning. In the first stage, the unsupervised self-learning method is conducted to learn the intra-modality feature representation and to generate the pseudo-labeled identities of person images separately for each modality. In the second stage, heterogeneous learning is used to learn a shared discriminative feature representation by distilling the knowledge from intra-modality pseudo-labels, to align two modalities via a modality-based consistent learning module, and finally to target modality-invariant learning via a pseudo-labeled positive instance selection module. With the use of homogeneous-to-heterogeneous learning, the proposed unsupervised framework greatly reduces the modality gap and thus learns a robust feature representation against RGB and infrared modalities, leading to promising accuracy. We also propose a novel cross-modality re-ranking approach that includes a self-modality search and a cycle-modality search to tailor the uRGB-IR re-ID. Unlike conventional re-ranking, the proposed re-ranking method takes a modality-based constraint into re-ranking and thus can select more reliable nearest neighbors, which greatly improves uRGB-IR re-ID. The experimental results demonstrate the superiority of our approach on the SYSU-MM01 and RegDB datasets. [ABSTRACT FROM AUTHOR]

Face illumination perception and processing is a significantly difficult issue especially due to asymmetric shadings, local highlights, and local shadows. This study focuses on the face illumination transfer problem, which is to transfer the illumination style from a reference face image to a target face image while preserving other attributes. Such an instance-level transfer task is more challenging than the domain-level one that only considers the pre-defined lighting categories. To tackle this problem, we develop an instance-level conditional Generative Adversarial Networks (GAN). Specifically, face identifier is integrated into GAN learning, which enables an individual-specific low-level visual generation. Moreover, the illumination-inspired attention mechanism is conducted to allow GAN to well handle the local lighting effect. Our method requires neither lighting categorization, 3D information, nor strict face alignment, which are often employed by traditional methods. Experiments demonstrate that our method achieves significantly better results than previous methods. [ABSTRACT FROM AUTHOR]

We present a learning model that makes full use of boundary information for salient object segmentation. Specifically, we come up with a novel loss function, i.e., Contour Loss, which leverages object contours to guide models to perceive salient object boundaries. Such a boundary-aware network can learn boundary-wise distinctions between salient objects and background, hence effectively facilitating the salient object segmentation. Yet the Contour Loss emphasizes the boundaries to capture the contextual details in the local range. We further propose the hierarchical global attention module (HGAM), which forces the model hierarchically to attend to global contexts, thus captures the global visual saliency. Comprehensive experiments on six benchmark datasets show that our method achieves superior performance over state-of-the-art ones. Moreover, our model has a real-time speed of 26 fps on a TITAN X GPU. [ABSTRACT FROM AUTHOR]

Objective  Evidence on the safety and influence of kangaroo mother care (KMC) in extremely low birth weight infants (ELBWIs) on ventilation is lacking. Study Design  This is a retrospective cohort study performed in 145 ELBWIs on noninvasive mechanical ventilation from a tertiary center. Results  The duration of nasal intermittent positive pressure ventilation (nIPPV) and continuous positive airway pressure (CPAP) ventilation was significantly shorter in infants with KMC compared with infants without (21 vs. 13.5 days, p  = 0.001 and 29.5 days vs. 20.5 days, p  = 0.001, respectively). The frequency of apnea during hospital stay was fewer in KMC infants, compared with no KMC (23 vs. 20 times, p  = 0.002). Multiple linear regression analysis showed that KMC was an independent protective factor for shortening nIPPV/CPAP duration (β = −9.90, 95% confidence interval [CI] [−13.20, −6.60], p  < 0.001), total supplemental oxygen support (β = −10.52, 95% CI [−16.73, −4.30], p  = 0.001), and reducing times of apneas (β = −5.88, 95% CI [−8.56, −3.21], p  < 0.001). Conclusion  KMC benefits ELBWIs by shortening nIPPV/CPAP ventilation duration and total supplemental oxygen support, and reducing the frequency of apneas. [ABSTRACT FROM AUTHOR]