Abstract Surface modification is an important approach to improve osseointegration of the endosseous implants, however it still desirable develop a facile yet efficient coating strategy. Herein, metal–phenolic network (MPN) proposed as multifunctional nanocoating on titanium (Ti) implants for enhanced through early immunomodulation. With tannic acid (TA) and Sr 2+ self‐assembled Ti substrates, MPN coatings provided bioactive interface, which can facilitate initial adhesion recruitment bone...

Abstract Maintaining the stemness of transplanted stem cell spheroids in an inflammatory microenvironment is challenging but important regenerative medicine. Direct delivery cells to repair periodontal defects may yield suboptimal effects due complexity environment. Herein, spheroid encapsulated by interfacial assembly metal-phenolic network (MPN) nanofilm form a microsphere capsule. Specifically, ligament (PDLSCs) was coated with Fe III /tannic acid coordination obtain spheroid@[Fe -TA]...

To study the clinical effect of L-shape technique combined with concentrated growth factor on horizontal bone defects maxillary anterior teeth. Twenty-five implants from 25 patients who underwent single tooth implantation simultaneous grafting were selected as subjects. Based techniques, divided into a test group (L-shaped guided regeneration factor, 11 cases) and control (traditional 14 cases). The early discomfort wound healing conditions in two groups at weeks after surgery compared....

Do firms voluntarily disclosing emissions have lower levels of greenhouse gases in their in-house and outsourced operations? We examine this question using Scope 1 upstream 3 emission data reported by or estimated S&P Trucost from 2002 to 2020. Our empirical results reveal that “voluntary firms” tend “internal emissions” (i.e., emissions) yet higher “external suppliers emissions). Overall, more the entire supply chain. A plausible explanation is they may outsource than non-disclosing...

Abstract The abnormal expression of CYFRA21-1 is closely related to the development non-small cell lung cancer (NSCLC), making its detection crucial for early diagnosis. In this study, we successfully constructed an electrochemical sensor based on nanopipettes and CRISPR/Cas12a CYFRA21-1. We utilized three-electrode system quantify target by monitoring changes in signals at single-cell level. small size nanopipettes, combined with trans-cleavage activity Cas12a, ensures reaction specificity...

Imbalanced data samples can adversely affect the performance of industrial process fault diagnosis models. Recently, it has become a valued challenge to expand and reasonably assess their quality. To address this issue, paper presents an imbalanced augmentation assessment method that integrates Wasserstein Time Generative Adversarial Network with Gradient Penalty (WTGAN-GP) Maximum Information Coefficient Improved Dynamic Warping Distance (MIC-IDTW) indicator. Firstly, WTGAN-GP effectively...

Multivariate time-series (MTS) forecasting plays an important role in industrial process monitoring, control, and optimization. Usually, hierarchical interactive behaviors among MTS have formed complex nonlinear causal characteristics, which greatly hinders the applications of existing predictive models. It is found that graph attention networks (GATs) provide technical ideas to meet this challenge. However, unknown directed linear conversions node information make conventional GATs less...

Do firms voluntarily disclosing emissions generate less greenhouse gas (in their in-house and outsourced operations)? We examine this question using emission data associated with Scope 1 3 reported by or estimated S&P Trucost over a 19-year period from 2002 to 2020. use regression models tease out the effect of voluntary carbon disclosures controlling for firm characteristics other measures. Our empirical results reveal that companies who make tend "internal emissions" (i.e., emissions) but...

Face liveness detection is designed to prevent the face recognition system from using attacking image as user's real image. At present, although there are many methods, most of methods have poor generalization ability in practical application. Because these based on datasets, and data cannot well simulate distribution environment. In order improve model, this paper, we build model deep neural network dataset collected by ourselves. The experimental results show that our has achieved...

Nowadays, echo state networks (ESNs) with a variety of model structures are available for industrial process time series predictions. However, most existing ESNs employ uniform timescale data knowledge learning, which obviously ignores the influences multivariate status at different timescales to prediction target, usually leading unsatisfactory approximation performances. In response this problem, paper proposes multi-parallel cycle reservoir jumps (MP-CRJ) is embedded feature contained in...

Abstract Background To explore the correlation between short‐chain fatty acids (SCFAs) in peri‐implant sulcular fluid (PISF) and diseases. Methods PISF samples were obtained from implants that have been placed for at least 5 years, clinical parameters examined. Gas chromatography‐mass spectrometry high‐performance liquid chromatography used to detect SCFAs PISF. The was analyzed by Spearman's correlation. related disease identified logistic regression ranked random forest analysis. Results...

This study aimed to evaluate the clinical outcomes of immediate implantation single maxillary central incisor and explore factors affecting post-implant bone volume.

Predicting face attributes is of great value in business user management and video surveillance as well other fields. The mentioned the topic include factors such gender, age, glasses, ethnic expression. This paper proposes a kind `end-to-end' machine learning method to predict these five attributes. convolution neural network MobileNet adopted, different loss functions are designed according characteristics each attribute well. At same time, during process training, trained by sharing...

<title>Abstract</title> Aberrant lipid metabolism affects intratumoral T cells mediated immune response and tumor growth. Fatostatin, a chemical inhibitor of sterol regulatory element binding proteins (SREBPs) activation was found that it can inhibit cancer cell proliferation, invasion, migration, G2/M phase arrest under SREBP-dependent processes block mitotic division not depending on the SREBPs lipogenesis. However, complicated intervention effect fatostatin lipids in TME, its influence...

Stomach Adenocarcinoma, with complex mechanisms about progression, has the biggest proportion in Cancer, which is one of most common causes death world. It widely acknowledged that gene mutations have relationship Adenocarcinoma. Copy number variation (CNV), producing identical sequence a large amount, associated There are some hotspots chromosome, CNV no exception. Their positions may potentially association prognosis patients, poorly understood. In this research, windows fixed length were...

Stomach Adenocarcinoma (STAD) is a leading cause of death worldwide. Somatic Copy Number Alterations (SCNAs), which result in Homologous recombination (HR) deficiency double-strand break repair, are associated with the progression STAD. However, landscape frequent breakpoints SCNAs (hotspots) and their functional impacts remain poorly understood. In this study, we aimed to explore frequency impact these hotspots 332 STAD patients 1,043 cancer cells using data from Cancer Genome Atlas (TCGA)...