Performance and mechanism of diclofenac adsorption onto 3D poly(m-phenylenediamine)-grafted melamine foam via batch experiment and theoretical studies.

Seeking highly efficient adsorbents for pharmaceuticals and personal care products (PPCPs) removal has been a worldwide continuing endeavor. In this study, a new 3D composite material was synthesized by covalently anchoring Poly(m-Phenylenediamine) onto 3D polyvinyl alcohol modified foam framework (PmPD-MF-PVA). PmPD-MF-PVA was characterized and evaluated for its efficacy in removing diclofenac (DCF), a commonly detected PPCPs in both wastewater and surface water.

An efficient ultrasonic wavenumber-domain plane wave imaging method towards the inspection of curved structures.

Ultrasonic phased array testing is commonly employed for inspecting curved structures. Conventional plane wave imaging techniques, based on delay-and-sum in the time-domain, offer high image quality and inspection accuracy but suffer from low frame rates due to their high computational complexity. In this work, an efficient wavenumber-domain imaging method that combines non-stationary wavefield extrapolation and f-k migration is proposed for curved structure inspection.

RAD54B promotes gastric cancer cell migration and angiogenesis via the Wnt/β-catenin pathway.

Background: Gastric cancer is an epidemic malignancy that is commonly diagnosed at the late stage. Evidence has elucidated that RAD54B exerts a crucial role in the progress of various tumors, but its specific role and mechanism in gastric cancer remain gloomy.

Materials And Methods: The level of RAD54B was detected by western blot.

Full-Matrix Imaging in Fourier Domain towards Ultrasonic Inspection with Wide-Angle Oblique Incidence for Welded Structures.

The total focusing method (TFM) has been increasingly applied to weld inspection given its high image quality and defect sensitivity. Oblique incidence is widely used to steer the beam effectively, considering the defect orientation and structural complexity of welded structures. However, the conventional TFM based on the delay-and-sum (DAS) principle is time-consuming, especially for oblique incidence.

Prediction of arsenic adsorption onto metal organic frameworks and adsorption mechanisms interpretation by machine learning.

Metal-organic frameworks (MOFs) are promising adsorbents for the removal of arsenic (As) from wastewater. The As removal efficiency is influenced by several factors, such as the textural properties of MOFs, adsorption conditions, and As species. Examining all of the relevant factors through traditional experiments is challenging.

Transformer Based Binocular Disparity Prediction with Occlusion Predict and Novel Full Connection Layers.

The depth estimation algorithm based on the convolutional neural network has many limitations and defects by constructing matching cost volume to calculate the disparity: using a limited disparity range, the authentic disparity beyond the predetermined range can not be acquired; Besides, the matching process lacks constraints on occlusion and matching uniqueness; Also, as a local feature extractor, a convolutional neural network lacks the ability of global context information perception. Aiming at the problems in the matching method of constructing matching cost volume, we propose a disparity prediction algorithm based on Transformer, which specifically comprises the Swin-SPP module for feature extraction based on Swin Transformer, Transformer disparity matching network based on self-attention and cross-attention mechanism, and occlusion prediction sub-network. In addition, we propose a double skip connection fully connected layer to solve the problems of gradient vanishing and explosion during the training process for the Transformer model, thus further enhancing inference accuracy.

A Cooperative Lightweight Translation Algorithm Combined with Sparse-ReLU.

In the field of natural language processing (NLP), machine translation algorithm based on Transformer is challenging to deploy on hardware due to a large number of parameters and low parametric sparsity of the network weights. Meanwhile, the accuracy of lightweight machine translation networks also needs to be improved. To solve this problem, we first design a new activation function, Sparse-ReLU, to improve the parametric sparsity of weights and feature maps, which facilitates hardware deployment.

FGA inhibits metastases and induces autophagic cell death in gastric cancer via inhibiting ITGA5 to regulate the FAK/ERK pathway.

This study aims to investigate the expression levels of fibrinogen α chain (FGA) in human gastric cancer (GC) tissues and cell lines, clarify its role in gastric cancer progression, and explore its underlying mechanism. Bioinformatics analysis, Immunoblot, Immunohistochemical (IHC), and quantitative PCR assays were performed to assess the expression of FGA in human gastric cancer tissues and cell lines. CCK-8 and colony formation assays were performed to detect its role in the proliferation of gastric cancer cells.

Identification of Molecular Subtypes and a Prognostic Signature Based on Inflammation-Related Genes in Colon Adenocarcinoma.

Both tumour-infiltrating immune cells and inflammation-related genes that can mediate immune infiltration contribute to the initiation and prognosis of patients with colon cancer. In this study, we developed a method to predict the survival outcomes among colon cancer patients and direct immunotherapy and chemotherapy. We obtained patient data from The Cancer Genome Atlas (TCGA) and captured inflammation-related genes from the GeneCards database.

HOXB13 suppresses proliferation, migration and invasion, and promotes apoptosis of gastric cancer cells through transcriptional activation of VGLL4 to inhibit the involvement of TEAD4 in the Hippo signaling pathway.

Gastric cancer (GC) is one of the most common types of malignancy worldwide and is accompanied by both high mortality and morbidity rates. Homeobox B13 (HOXB13) has been reported to act as a tumor suppressor gene in multiple types of human cancer. The present study aimed to investigate the effects and potential underlying molecular mechanisms of HOXB13 in the progression of GC.

Effects of short interfering RNA-mediated gene silencing of SKA1 on proliferation of hepatocellular carcinoma cells.

Background: Hepatocellular carcinoma (HCC) is one of the common causes of cancer resulting in death in China. Here, we found that spindle- and kinetochore-associated complex subunit 1 (SKA1) is a critical factor that plays an essential role in the regulation of HCC cell proliferation and apoptosis.

Methods: Using immunohistochemistry in 38 HCC tissues, we showed that the expression of SKA1 was upregulated in HCC tissues compared with the normal tissues.