There are tremendous challenges from both tumor and its therapeutic formulations affecting the effective treatment of tumor, including recurrence, complex multistep preparations formulation. To address these issues, herein a simple green approach based on self-assembly agents photosensitizer (chlorine e6, Ce6) chemotherapeutic agent (doxorubicin, DOX) was developed to prepare carrier-free nanoparticles (NPs) with ability inhibit recurrence. The designed NPs were formed by Ce6 DOX associated...

Abstract Long‐range structural order and alignment over different scales are of key importance for the regulation structure functionality in biology. However, it remains a great challenge to engineer assemble such complex functional synthetic systems with length from simple biologically relevant molecules, as peptides porphyrins. Herein we describe successful introduction hierarchical long‐range dipeptide‐adjusted porphyrin self‐assembly by thermodynamically driven self‐orienting assembly...

The majority of anticancer drugs are poorly water-soluble and thus suffer from rather low bioavailability. Although a variety delivery carriers have been developed for bioavailability improvement, they severely limited by drug loading undesired side effects. optimum vehicle would be biocompatible biodegradable nanoparticle uniform size with thin but stable shell, making it soluble, preventing aggregation enabling targeting. Here, we present general strategy the rational design hydrophobic...

Advanced glycation end products (AGEs) are major inflammatory mediators in diabetes, affecting atherosclerosis progression via macrophages. Metformin slows diabetic through mechanisms that remain to be fully elucidated. The present study of murine bone marrow derived macrophages showed (1) AGEs enhanced proinflammatory cytokines (interleukin-1 β (IL-1 ), IL-6, and tumor necrosis factor- α (TNF- )) mRNA expression, RAGE NF κ B activation; (2) metformin pretreatment inhibited effects...

We propose a novel structural design strategy for triboelectric nanogenerators (TENGs). Leveraging the combination of screw rod and ratchet, optimized TENGs realize form conversion rectification motion, frequency multiplication.

Abstract We present a general strategy to nanoengineer protein‐based colloidal spheres (biomimetic protocells) as versatile delivery carriers with stimuli responsiveness by the electrostatic assembly of binary components (proteins and polypeptides) in association intermolecular disulfide cross‐linking. The size spheres, ranging from nanoscale microscale, is readily tuned through parameters like protein polypeptide concentration, ratio between both, pH, so on. Moreover, such show...

Cellular uptake, endosomal/lysosomal escape, and the effective dissociation from carrier are a series of hurdles for specific genes to be delivered both in vitro vivo. To construct siRNA delivery systems, poly(allylamine hydrochloride) (PAH) were alternately assembled on surface 11.8 ± 0.9 nm Au nanoparticles (GNP), stabilized by denatured bovine serum albumin, ionic layer-by-layer (LbL) self-assembly method. By manipulating outmost PAH layer, GNP–PAH vectors with different electric...

Biomimetic delivery carriers using polypeptide/heparin hybrid nanoparticles that are adsorbed onto red blood cells for extended circulation time have been developed. This might open up an avenue to promote the innovations and advances of biomimetic, stimuli-responsive drug delivery, especially site-specific treatment intravascular diseases such as thrombosis.

Abstract Long‐range structural order and alignment over different scales are of key importance for the regulation structure functionality in biology. However, it remains a great challenge to engineer assemble such complex functional synthetic systems with length from simple biologically relevant molecules, as peptides porphyrins. Herein we describe successful introduction hierarchical long‐range dipeptide‐adjusted porphyrin self‐assembly by thermodynamically driven self‐orienting assembly...

Self-assembling peptide-based materials are playing an important role in fabricating drug delivery carriers; however, they often limited by several challenges, such as precise structure modulation, desirable nanoscale size, and sufficient circulation lifetime the body. To address this issue, herein one type of injectable dipeptide-based nanocarriers with well-modulated size has been developed adjusting glutaraldehyde (GA)-assisted cationic dipeptide (CDP) assembly. After loading a model...

Monitoring the assembly process is a challenge in manual of mass customization production, which operator needs to change according different products. If an error not immediately detected during product, it may lead errors and loss time money subsequent process, will affect product quality. To monitor this paper explored two methods: recognizing action parts from complicated assembled In recognition, improved three-dimensional convolutional neural network (3D CNN) model with batch...

Understanding how blood lipid levels change with age in the general population is a precondition to defining dyslipidemia.To explore age-related trends LDL-C and non-HDL-C population, large-scale cross-sectional study 49,201 males 35,084 females was adopted.Trends of were plotted against each (18 85 years old, one-year increments); trends, as well influence confounding factors on validated adjusted by linear regression modeling.The trajectory displayed nonlinear correlation trend.Further...

Intelligent recognition of assembly behaviors workshop production personnel is crucial to improve efficiency and ensure safety. This paper proposes a graph convolutional network model for behavior based on attention mechanism multi-scale feature fusion. The proposed learns the potential relationship between actions tools recognizing behaviors. Meanwhile, introduction an helps focus key information in images. Besides, fusion module introduced enable better extract image features at different...

Abstract In the production process, presence of surface defects seriously affects quality industrial products. Existing defect detectors are not suitable for with scattered distribution and complex texture defects. this study, a dual-branch information extraction local attention anchor-free network detection (DLA-FCOS), which is based on fully convolutional one-stage network, proposed to accurately locate detect Firstly, feature (DFENeT) used improve ability Then, enhancement module...

Locating and identifying the components mounted on a printed circuit board (PCB) based machine vision is an important challenging problem for automated PCB inspection recycling. In this paper, we propose semantic segmentation method depth images that segments recognizes in through pixel classification. The image training set was automatically synthesized with graphic rendering. Based series of concentric circles centered at given pixel, extracted difference features from to train random...