Antibacterial Effect of Two Novel Sealants: A Laboratory-Based Study.

Background: This research sought to assess the impact of polyhexamethylene guanidine hydrochloride (PHMGH) and 1,3,5-triacryloyl hexahydro-1,3,5-triazine (TAT) on the antibacterial activity of an experimental resin sealant. Materials and Methods: The two experimental sealants were formulated based on previous research, and Streptococcus mutans (S. mutans) was tested for biofilm and planktonic bacteria's antibacterial properties. In 48 hours, 300 L of frozen S. mutans in skim milk was stored in an oven at 37°C in a microaerophilic atmosphere with 5% of CO2 and put on a petri plate containing brain-heart infusion (BHI) broth with agar at 15 g/L. By combining 100 mL of the subculture broth with 900 mL of a sterile saline solution (0.9%) in an Eppendorf tube, the initial inoculum used for the experiments was evaluated. The colonies were measured in colony-forming units per milliliter (CFU/mL) after being counted visually. To measure the antibacterial activity, log CFU/mL was used to express the number of bacteria in the broth that had been in contact with the samples for 24 hours. Results: Outcomes of antibacterial activity against planktonic bacteria and against biofilm development on polymerized materials. The two innovative sealant materials were found to differ significantly from one another, while group 2's mean and standard deviation values were larger. Conclusion: Dental sealants designed with PHMGH and TCPTAT for anticaries application showed less bacterial growth throughout time the cavity prevention properties of the resin sealant.

Comparison of Antibacterial Activity of Various Additives to Glass Ionomer Restoration: An In Vitro Study.

Introduction: Glass-ionomer (GIC) cement was introduced in 1972 as a "new filling material of dentistry". It is bioactive and plays an important role in caries prevention due to its ability to release fluoride into the oral environment and remineralization of dental hard tissues. However, its properties such as moisture sensitivity, wear resistance, and bond strength are not sufficient to inflict the antimicrobial environment. This in vitro study aimed to evaluate the antibacterial property of four different GIC cements against S. mutans and L. acidophilus. Methodology: This study was conducted on 120 disk-shaped samples (30 for antibacterial activity), which were placed in Petri dishes holding Müeller Hinton agar. Bacterial strains were overhauled in the brain heart infusion culture medium, and by utilizing disposable straps on blood agar medium, 100 ml of the strain inoculum was plated out. Through the diffusion method on the solid medium, the antibacterial activity of GIC was determined. Results: The antibacterial activity was the highest for Riva silver and chemifill rock for 24 and 72 hours, respectively. For 48 hours, Equia forte and chemifill rock had the highest antibacterial activity, and there was a significant difference between the groups. Conclusion: Ketac™ molar easymix inhibited the growth of S. mutans and L. acidophilus but had the lowest antibacterial effect compared to other GICs.

Comparison of Two Routinely Used Mouthwashes for Plaque Control Among Young Adults: An Observational Study.

Background: The most common and convenient technique to provide antiplaque medicines is through mouth rinses, which have the advantage of accessing places that are difficult for a toothbrush to clean. Chlorhexidine and Listerine mouthwashes were tested for their effectiveness when used in addition to routine teeth cleaning techniques. However, the studies assessing the antibacterial effects of these among young adults are diversified and limited. Materials and Methods: This comparative study was conducted among 240 schoolchildren. The participants were separated into three groups: A, B, and C. The research was conducted at two intervals of time, before therapy and during treatment period. The plaque was assessed through the plaque index (Turesky modification of Quigley-Hein plaque index (1970)). After a month, individuals had oral examination and were assessed. Results: Following the first week, a comparison of plaque scores was made between the three groups. Plaque score is lower in group C and group B than in group A in the succeeding second, third, and fourth weeks, but Tukey's test results suggest that group C has a larger decrease in plaque than group B. Conclusion: According to this study, as compared to a placebo mouthwash, both a mouthwash containing 0.2% chlorhexidine and one containing phenol dramatically reduced plaque development and gingival irritation.

Apoptosis and cell cycle arrest of leukemic cells by a robust and stable L-asparaginase from Pseudomonas sp. PCH199.

Biomolecules obtained from microorganisms living in extreme environments possess properties that have pharmacokinetic advantages. Enzyme assay revealed recombinant L-ASNase, an extremozyme from Pseudomonas sp. PCH199 is to be highly stable with 90 % activity (200 h) at 37 °C. The stability of the enzyme in human serum (50 % activity maintained in 63 h) reveals high therapeutic potential with less dosage. The enzyme exhibited cytotoxicity to K562 blood cancer cell lines with IC50 of 0.37 U/mL without affecting the IEC-6 normal epithelial cell line. Due to the depletion of L-asparagine, K562 cells experience nutritional stress that results in the abruption of metabolic processes and eventually leads to apoptosis. Comparative studies on MCF-7 cells also revealed the same fate. Due to nutritional stress induced by L-ASNase treatment, mitochondrial membrane potential was lost, and reactive oxygen species were increased to 48 % (K562) and 21 % (MCF-7) as indicated by flow cytometric analysis. DAPI staining with prominent nuclear morphological changes visualized under the fluorescent microscope confirmed apoptosis in both cancer cells. Treatment increases pro-apoptotic Bax protein, and eventually, the cell cycle is arrested at the G2/M phase in both cell lines. Therefore, the current study paves the way for PCH199 L-ASNase to be considered a potential chemotherapeutic agent for treating acute lymphoblastic leukemia.

An improved human activity recognition technique based on convolutional neural network.

A convolutional neural network (CNN) is an important and widely utilized part of the artificial neural network (ANN) for computer vision, mostly used in the pattern recognition system. The most important applications of CNN are medical image analysis, image classification, object recognition from videos, recommender systems, financial time series analysis, natural language processing, and human-computer interfaces. However, after the technological advancement in the power of computing ability and the emergence of huge quantities of labeled data provided through enhanced algorithms, nowadays, CNN is widely used in almost every area of study. One of the main uses of wearable technology and CNN within medical surveillance is human activity recognition (HAR), which must require constant tracking of everyday activities. This paper provides a comprehensive study of the application of CNNs in the classification of HAR tasks. We describe their enhancement, from their antecedents up to the current state-of-the-art systems of deep learning (DL). We have provided a comprehensive working principle of CNN for HAR tasks, and a CNN-based model is presented to perform the classification of human activities. The proposed technique interprets data from sensor sequences of inputs by using a multi-layered CNN that gathers temporal and spatial data related to human activities. The publicly available WISDM dataset for HAR has been used to perform this study. This proposed study uses the two-dimensional CNN approach to make a model for the classification of different human activities. A recent version of Python software has been used to perform the study. The rate of accuracy for HAR through the proposed model in this experiment is 97.20%, which is better than the previously estimated state-of-the-art technique. The findings of the study imply that using DL methods for activity recognition might greatly increase accuracy and increase the range of applications where HAR can be used successfully. We have also described the future research trends in the field of HAR in this article.