Rabbit Anti-Human DCT (a.a. 232-304) Polyclonal antibody

Background: The ideal root canal filling for endodontic treatment of primary teeth with necrotic pulp must have antimicrobial activity, not cause tooth discoloration or interfere with the eruption of permanent successor teeth. This study aimed to evaluate physiochemical properties of a novel paste (CZ Paste) for endodontic treatment of primary teeth with necrotic pulp and compare its antimicrobial activity to Chloramphenicol, Tetracycline, Zinc oxide (CTZ) and Zinc Oxide eugenol (ZOE) pastes. Methods: CZ, CTZ and ZOE pastes were homogenized with eugenol at the time of testing. Fourier Transform Infrared spectroscopy (FTIR) and Differential Scanning Calorimetry (DSC) tests were performed. Antimicrobial activity was assessed using agar diffusion test (ADT), direct contact test (DCT) and bactericidal effect assessment against Staphylococcus aureus, Enterococcus faecalis and Pseudomonas aeruginosa. Results: FTIR showed that CZ paste has a similar profile to chloramphenicol spectrum and in DSC thermograms it demonstrated a slight change in endothermic transition temperature. In the ADT, CTZ paste and CZ paste presented similar inhibition zone diameters and were higher than ZOE paste (P < 0.05). All pastes inhibited the growth of tested micro-organisms in DCT. Bactericidal assessment test showed that only CZ and CTZ pastes had bactericidal effect. Conclusion: CZ paste could be an alternative for endodontic treatment of primary teeth with necrotic pulp.

Continuous measurement of electrocardiogram (ECG) signal is required for detecting various cardiac abnormalities, such as arrhythmia. Wearable devices have become ubiquitous as continuous monitoring devices. Due to power and memory restrictions in wearable devices, signal acquisition may need to be done in smaller segments using compressive sensing (CS) techniques. However such acquisitions may lead to poor recovery of compressed measurements. A Kronecker-based novel recovery technique has been recently proposed to improve the recovery of compressed signals where the recovery is achieved through a single recovery of concatenated compressed signal segments. In this article, a mathematical reasoning for improvement using the Kronecker-based recovery over standard CS recovery procedure is presented. A detailed investigation of Kronecker-based recovery technique of compressed ECG signal is presented using ECG signals from MIT-BIH Arrhythmia Database. As a part of this investigation, the quality of recovery with random and deterministic sensing of ECG signals and impact of choice of sparsifying dictionaries under various compression ratios (CRs) are considered. Deterministic sensing with deterministic binary block diagonal (DBBD) matrix and discrete cosine transform (DCT) as sparsifying basis is seen to provide the best recovery for ECG signals. Kronecker-based recovery of noisy ECG signals is possible with DBBD measurement matrix.