Cytotoxicity and Cell Viability Assessment of Biomaterials

Biocompatibility testing is essential for medical devices and pharmaceutical agents, regardless of their mechanical, physical, and chemical properties. These tests assess cytotoxic effects and acute systemic toxicity to ensure safety and effectiveness before clinical use. Cell viability, indicating the number of healthy cells in a sample, is determined through various assays that measure live-to-dead cell ratios. Cytotoxicity measures a substance’s potential for cell damage or death, and is evaluated through numerous assay methods based on different cell functions. Ensuring biocompatibility is crucial for the successful integration of medical devices and pharmaceuticals into clinical practice. As part of the evaluation process, researchers utilize a range of cell viability assays and cytotoxicity tests to assess the potential impact of these products on living cells. The results of these tests inform the optimization of cell culture conditions and drug candidates, as well as guide the development of safer, more effective medical devices. By thoroughly examining the interactions between devices, drugs, and biological systems, researchers aim to minimize the risk of adverse reactions and improve patient outcomes

DEVELOPMENT AND IMPROVEMENT OF THE FORGING AND STAMPING TECHNOLOGY BY MEANS OF QFORM3D

One of the color programs for modeling of volume stamping by means of QF0RM3D is considered

A Novel Cytotoxic Cerium Complex: Aquatrichloridobis(1,10-phenanthroline)cerium(III) (KP776). Synthesis, Characterization, Behavior in H2O, Binding towards Biomolecules, and Antiproliferative Activity

The lanthanide complex aquatrichloridobis(1,10-phenanthroline)cerium(III) [Ce(phen)(2)(H2O)Cl-3] (KP776) was fully characterized by elemental analysis, IR-, and H-1- and C-13-NMR spectroscopy, as well as TG/DTA measurements, and its behavior in H2O, important for the application as a chemotherapeutic, was studied. In addition, the binding of KP776 to nucleotides and single serum proteins was investigated by capillary electrophoresis, whereas binding to proteins in human plasma was observed by ICP-MS. The compound shows promising anticancer properties in vitro: proliferation of human cancer cell lines is strongly inhibited with IC50 values in the very low micromolar range

RAQ: Relationship-Aware Graph Querying in Large Networks

The phenomenal growth of graph data from a wide variety of real-world applications has rendered graph querying to be a problem of paramount importance. Traditional techniques use structural as well as node similarities to find matches of a given query graph in a (large) target graph. However, almost all existing techniques have tacitly ignored the presence of relationships in graphs, which are usually encoded through interactions between node and edge labels. In this paper, we propose RAQ-Relationship-Aware Graph Querying-to mitigate this gap. Given a query graph, RAQ identifies the k best matching subgraphs of the target graph that encode similar relationships as in the query graph. To assess the utility of RAQ as a graph querying paradigm for knowledge discovery and exploration tasks, we perform a user survey on the Internet Movie Database (IMDb), where an overwhelming 86% of the 170 surveyed users preferred the relationship-aware match over traditional graph querying. The need to perform subgraph isomorphism renders RAQ NP-hard. The querying is made practical through beam stack search. Extensive experiments on multiple real-world graph datasets demonstrate RAQ to be effective, efficient, and scalable