High adsorption capacities for dyes by a pH-responsive sodium alginate/sodium lignosulfonate/carboxylated chitosan/polyethyleneimine adsorbent.

Dyes are indispensable for the rapid development of society, but untreated dye wastewater can threaten human health. In this study, an adsorbent (SA/SL/CCS/PEI@MNPs) was synthesized by one-pot method using magnetic nanoparticles (MNPs), sodium alginate (SA), sodium lignosulfonate (SL), carboxylated chitosan (CCS) and polyethyleneimine (PEI). The adsorbent was mesoporous micrometer-sized particles with pore size of 34.

Selective adsorption of anionic dyes by a macropore magnetic lignin-chitosan adsorbent.

Dyes pollution is well known for their hazardous impacts on human health and the environment. The removal of dyes from wastewater has become an important issue. In this study, magnetic micrometer-sized particles AL-CTS@MNPs were synthesized from alkaline lignin (AL) and chitosan (CTS) by "one-pot method".

Comparative Analysis of Hemostatic Efficacy: Local Application of Lancehead Snake Venom Thrombin versus Hemostatic Forceps in Colon Polypectomy.

Background: Colon polypectomy often involves managing bleeding, and the choice of hemostatic methods is critical for patient outcomes. This study addresses the hemostatic effects of lancehead snake venom thrombin compared to hemostatic forceps in the context of colon polypectomy.

Objective: To compare and assess the effectiveness and safety of local application of lancehead snake venom thrombin and hemostatic forceps in achieving hemostasis during colon polypectomy.

An end-to-end laser-induced damage change detection approach for optical elements via siamese network and multi-layer perceptrons.

With the presence of complex background noise, parasitic light, and dust attachment, it is still a challenging issue to perform high-precision laser-induced damage change detection of optical elements in the captured optical images. For resolving this problem, this paper presents an end-to-end damage change detection model based on siamese network and multi-layer perceptrons (SiamMLP). Firstly, representative features of bi-temporal damage images are efficiently extracted by the cascaded multi-layer perceptron modules in the siamese network.