Tracking the Aging-Induced Evolution in Self-Healing Capacities of Asphalt Binder: Microstructure and Rheology Analysis.

Asphalt pavement inevitably undergoes aging and deterioration of service performance under atmospheric and solar radiation conditions. This study developed an efficient and durable self-healing asphalt based on the designability of the polymer chemical structure and reversible recombination of covalent bonds. Moreover, the effect of long-term thermal oxidative aging and ultraviolet (UV) aging on self-healing promotion by polymers (PUS) containing dynamic disulfide bonds was investigated through a nonthixotropic evaluation system.

[Research progress in isolation strategies and bioactive substances of microorganisms in extreme environments].

Microbial resources are diverse and abundant, serving as a crucial source for the discovery of bioactive substances. However, as the research on microbial secondary metabolites deepens, discovering new microorganisms and novel bioactive secondary metabolites from conventional environments is becoming increasingly challenging. The microorganisms inhabiting extreme environments have unique physiological characteristics and can develop distinctive metabolic pathways, holding immense potential for producing chemically diverse and novel bioactive secondary metabolites.

IIAM: Intra and Inter Attention With Mutual Consistency Learning Network for Medical Image Segmentation.

Medical image segmentation provides a reliable basis for diagnosis analysis and disease treatment by capturing the global and local features of the target region. To learn global features, convolutional neural networks are replaced with pure transformers, or transformer layers are stacked at the deepest layers of convolutional neural networks. Nevertheless, they are deficient in exploring local-global cues at each scale and the interaction among consensual regions in multiple scales, hindering the learning about the changes in size, shape, and position of target objects.

Prognostic value of inflammation and immune-related gene NOD2 in clear cell renal cell carcinoma.

Inflammation and immune responses play important roles in cancer development and prognosis. We identified 59 upregulated inflammation- and immune-related genes (IIRGs) in clear cell renal cell carcinoma (ccRCC) from The Cancer Genome Atlas database. Among the upregulated IIRGs, nucleotide binding oligomerization domain 2 (NOD2), PYD and CARD domain (PYCARD) were also confirmed to be upregulated in the Oncomine database and in three independent GEO data sets.

Understanding the role of pathways in a deep neural network.

Deep neural networks have demonstrated superior performance in artificial intelligence applications, but the opaqueness of their inner working mechanism is one major drawback in their application. The prevailing unit-based interpretation is a statistical observation of stimulus-response data, which fails to show a detailed internal process of inherent mechanisms of neural networks. In this work, we analyze a convolutional neural network (CNN) trained in the classification task and present an algorithm to extract the diffusion pathways of individual pixels to identify the locations of pixels in an input image associated with object classes.

Self-Adaptive Graph With Nonlocal Attention Network for Skeleton-Based Action Recognition.

Graph convolutional networks (GCNs) have achieved encouraging progress in modeling human body skeletons as spatial-temporal graphs. However, existing methods still suffer from two inherent drawbacks. Firstly, these models process the input data based on the physical structure of the human body, which leads to some latent correlations among joints being ignored.

Towards artefact-free AFM image presentation and interpretation.

Atomic force microscopy (AFM) is based upon a simple operational principle. However, the presentation and interpretation of AFM images can easily suffer from consequential artefacts that are easily overlooked. Here we discuss results from AFM and its companion variations AFM-IR (AFM combined with infrared spectroscopy) and PF-QNM (an AFM mode called peak-force quantitative nano-mechanical mapping) by imaging 'bee' structures in asphalt binder (bitumen) as examples.

Identification of CeRNA Regulatory Networks in Atrial Fibrillation Using Nanodelivery.

The initiation and maintenance of AF is a complex biological process that is the ultimate manifestation of many cardiovascular diseases. And the pathogenesis of atrial fibrillation (AF) is unclear. Therefore, this study aimed to find the potential competing endogenous RNAs (ceRNAs) network and molecular dysregulation mechanism associated with AF.

Cascaded parallel crowd counting network with multi-resolution collaborative representation.

Accurately estimating the size and density distribution of a crowd from images is of great importance to public safety and crowd management during the COVID-19 pandemic, but it is very challenging as it is affected by many complex factors, including perspective distortion and background noise information. In this paper, we propose a novel multi-resolution collaborative representation framework called the cascaded parallel network (CP-Net), consisting of three parallel scale-specific branches connected in a cascading mode. In the framework, the three cascaded multi-resolution branches efficiently capture multi-scale features through their specific receptive fields.

A Study of Urodynamic Parameters at Different Bladder Filling Stages for Predicting Upper Urinary Tract Dilatation.

Purpose: To identify more accurate predictors of upper urinary tract dilatation (UUTD) in neurogenic bladder (NB) children, we studied the relationship among urodynamic parameters at different bladder filling stages, detrusor leak point pressure (DLPP) and UUTD.

Methods: A total of 158 children (3-16 years) with NB were included and then divided into 2 groups according to whether their NB diagnosis was complicated with UUTD: the UUTD group (39 patients) and those without UUTD group (control group, 119 patients). The bladder filling phase was divided into 3 equal parts: the early, middle, and end filling stages.

HRANet: Hierarchical region-aware network for crowd counting.

Aiming to tackle the most intractable problems of scale variation and complex backgrounds in crowd counting, we present an innovative framework called Hierarchical Region-Aware Network (HRANet) for crowd counting in this paper, which can better focus on crowd regions to accurately predict crowd density. In our implementation, first, we design a Region-Aware Module (RAM) to capture the internal differences within different regions of the feature map, thus adaptively extracting contextual features within different regions. Furthermore, we propose a Region Recalibration Module (RRM) which adopts a novel region-aware attention mechanism (RAAM) to further recalibrate the feature weights of different regions.

Investigating the aging mechanism of asphaltene and its dependence on environmental factors through AIMD simulations and DFT calculations.

To understand the complex aging mechanism of asphalt and its dependence on environmental factors, the chemical reactivity of asphaltene during aging under different environmental conditions was studied through first-principles molecular simulations and density functional theory calculations. The aging of asphaltene was demonstrated to involve a series of subreactions along different pathways on the asphaltene molecules, including hydrogen abstraction from carbon, formation of polar groups, aromatization of cycloalkanes, and homolysis of side chains. These subreactions occurred with different free-energy barriers and, therefore, had different kinetic rates.

MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancer.

Accurate segmentation of the tumour area is crucial for the treatment and prognosis of patients with bladder cancer. However, the complex information from the MRI image poses an important challenge for us to accurately segment the lesion, for example, the high distinction among people, size of bladder variation and noise interference. Based on the above issues, we propose an MD-Unet network structure, which uses multi-scale images as the input of the network, and combines max-pooling with dilated convolution to increase the receptive field of the convolutional network.

Significant Prognostic Value of the Autophagy-Related Gene P4HB in Bladder Urothelial Carcinoma.

While hundreds of consistently altered autophagy-related genes (ARGs) have been identified in cancers, their prognostic value in bladder urothelial carcinoma (BUC) remains unclear. In the present study, we collected 232 ARGs from the Human Autophagy Database (HADb), and identified 37 differentially expressed ARGs in BUC based on The Cancer Genome Atlas (TCGA) database. Kaplan-Meier survival analysis based on the Gene Expression Profiling Interactive Analysis (GEPIA) database revealed that among the 37 differentially expressed ARGs, prolyl 4-hydroxylase, beta polypeptide (P4HB), and regulator of G protein signaling 19 (RGS19) were significantly negatively correlated with overall survival (OS) and disease-free survival (DFS).

The long non-coding RNA SNHG1 promotes bladder cancer progression by interacting with miR-143-3p and EZH2.

The long non-coding RNA (lncRNA) SNHG1 has been shown to be implicated in the progression of multiple human carcinomas. Nevertheless, the biological functions and potential mechanism of SNHG1 in bladder cancer (BC) are uncharacterized. In the present study, SNHG1 was found to be substantially up-regulated in BC tissues and cells and was intimately correlated with the TNM stage, lymphatic invasion, metastasis and recurrence-free survival in BC patients.

Use of high-fidelity 3-dimensional-printed models for training novice residents in basic nasal endoscopic skills.

Background: The use of 3-dimensional (3D)-printed models is promising in nasal endoscopic technique training. Here, we aimed to develop postsurgical simulants for use in conjunction with 3D-printed nasal models and to assess their usefulness in helping residents transfer basic endoscopic skills acquired during simulation training to clinical situations.

Methods: The secretion simulant was prepared via a crosslinked reaction between sodium alginate and acrylamide, whereas the packing simulant was prepared using a superabsorbent polymer.

[Regulatory effect of Di'ao Xinxuekang on TLR4/MyD88/NF-κB signaling pathway in atherosclerotic rats].

The aim of this paper was to observe the effect of Di'ao Xinxuekang(DXXK) on TLR4/MyD88/NF-κB signaling pathway in atherosclerotic rats, and to explore its anti-atherosclerotic mechanism. Sixty SD rats were randomly divided into normal group, model group, atorvastatin group(4.0 mg·kg~(-1)), and DXXK groups(100, 30, 10 mg·kg~(-1)), with 10 rats in each group.

The Improvement of Moisture Resistance and Organic Compatibility of SrAlO: Eu, Dy Persistent Phosphors Coated with Silica-Polymer Hybrid Shell.

The existing road surface marking with poor visibility at night results in traffic safety hazards in insufficient lighting roads. This study aims to prepare the dedicated aluminate-based persistent phosphors considering the integrated pavement environment, as the first step to achieve the durable luminescent road surface marking. SrAlO: Eu, Dy persistent phosphors coated with silica-polymer hybrid shell were prepared by chemical precipitation and sol-gel method to improve moisture resistance and organic compatibility.

A cross-sectional study on nurse turnover intention and influencing factors in Jiangsu Province, China.

Background: Nurses' turnover has been a major concern globally, which is strongly influenced by nurses' intent to leave. However, only a few large sample studies on the predictive factors associated with nurses' turnover intention were conducted in Jiangsu Province. This study mainly aims to examine the level and factors that influence nurses to leave their work in Jiangsu Province of Eastern China.

Integrative analysis of the lncRNA-associated ceRNA network reveals lncRNAs as potential prognostic biomarkers in human muscle-invasive bladder cancer.

Background: Long noncoding RNAs (lncRNAs) play important roles in competing endogenous RNA (ceRNA) networks involved in the development and progression of various cancers, including muscle-invasive bladder cancer (MIBC).

Purpose: This study aims to construct the lncRNA-associated ceRNA network and identify lncRNA signatures correlated with the clinical features of MIBC tissue samples from The Cancer Genome Atlas (TGCA) database.

Methods: The differential expression profiles of MIBC associated lncRNAs, miRNAs and mRNAs were obtained from TCGA.

Systemic treatment with resveratrol alleviates adjuvant arthritis-interstitial lung disease in rats via modulation of JAK/STAT/RANKL signaling pathway.

Interstitial lung disease (ILD) is the most common pulmonary manifestation of Rheumatoid arthritis (RA) lung disease. The mechanism of RA-ILD remains obscure and more effective treatments are still needed. Resveratrol (RSV) a phytoalexin found with anti-inflammation and antioxidant activity.

Creation and validation of three-dimensional printed models for basic nasal endoscopic training.

Background: Three-dimensional (3D) printed models have been shown to be promising in surgical training in rhinology. The objectives of this study were to develop a set of 3D-printed models including the pediatric and adult nasal cavity, and the postsurgical paranasal sinuses, and to assess the face and content validity in endoscopic training.

Methods: The computed tomography (CT) data of a pediatric patient without nasal disorders and an adult patient with nasal septal deviation were selected to produce the models of the pediatric and adult nasal cavity, and the CT data of an adult patient who underwent endoscopic sinus surgery 4 months ago was chosen to create the paranasal sinus model.

Cell-penetrating peptide conjugates of gambogic acid enhance the antitumor effect on human bladder cancer EJ cells through ROS-mediated apoptosis.

Background: Gambogic acid (GA) is the main active ingredient of resin gamboges and possesses anti-cancer activity toward various human cancer cells. However, clinical application of GA has been limited by its poor aqueous solubility and dose-limiting toxicities. Cell-penetrating peptides (CPPs) are widely used to deliver anti-cancer drugs into cancer cells and to enhance the water solubility of drugs.

rSjP40 protein promotes PPARγ expression in LX-2 cells through microRNA-27b.

miR-27b is reported to participate in the proliferation and differentiation of hepatic stellate cells (HSCs) and to regulate fat metabolism of rat HSCs by targeting retinoid X receptor α. Our previous study also indicated that the recombinant P40 protein from Schistosoma japonicum (rSjP40) inhibited the activation of HSCs. In this study, we observed the expression of miR-27b in rSjP40-treated LX-2 cells and explored its potential mechanisms.