Antioxidant and Anti-Aging Activity of Green Mustard Ethanol Extract Gel

The skin is the organ of the body that is frequently exposed to direct UV rays from the sun, which causes the formation of ROS (reactive oxygen species), leading to cell death and tissue damage. This health problem can be overcome by using antioxidants to stabilize the free radicals. Mustard as an organic substance which contains polysaccharide compounds, vitamin C, carotene, quercetin, routine compounds, kaempferol and β-cytostreol, all of these are beneficial to skin health and beauty. Therefore, this study aims to determine the antioxidant activity of the total flavonoids and phenol content of mustard ethanol extract using the DPPH method. Furthermore, the extract at concentrations of 2, 4, and 6% was also tested for its anti-aging activity using the following parameters: moisture and oil content, texture, collagen, wrinkles, pigment, sensitivity, and pores. The results showed that the antioxidant activity of the green mustard had an IC50 value of 170.7839 µg/ml, a total phenol content of 14.471 mg GAE/g extract and flavonoid content of 12.753 mg QE/g extract. The effectiveness of the aging activity of the extract was tested using formulation 6%, which is better than 2%, and 4%. Thus, the percentage of water content recovery, oil content, texture, collagen, wrinkles, stains, sensitivity and pores respectively was 36.41, 39.33, 64.07, 17.65, 65.28, 50.14, 49.10 and 35.09%. Consequently, it was concluded that the extract has the potential of being developed into a herbal beauty product.

ABCB1 and ABCG2 Control Brain Accumulation and Intestinal Disposition of the Novel ROS1/TRK/ALK Inhibitor Repotrectinib, while OATP1A/1B, ABCG2, and CYP3A Limit Its Oral Availability

Repotrectinib shows high activity against ROS1/TRK/ALK fusion-positive cancers in preclinical studies. We explored the roles of multidrug efflux transporters ABCB1 and ABCG2, the OATP1A/1B uptake transporter(s), and the CYP3A complex in pharmacokinetics and tissue distribution of repotrectinib in genetically modified mouse models. In vitro, human ABCB1 and ABCG2, and mouse Abcg2 efficiently transported repotrectinib with efflux transport ratios of 13.5, 5.6, and 40, respectively. Oral repotrectinib (10 mg/kg) showed higher plasma exposures in Abcg2-deficient mouse strains. Brain-to-plasma ratios were increased in Abcb1a/1b−/− (4.1-fold) and Abcb1a/1b;Abcg2−/− (14.2-fold) compared to wild-type mice, but not in single Abcg2−/− mice. Small intestinal content recovery of repotrectinib was decreased 4.9-fold in Abcb1a/1b−/− and 13.6-fold in Abcb1a/1b;Abcg2−/− mice. Intriguingly, Abcb1a/1b;Abcg2−/− mice displayed transient, mild, likely CNS-localized toxicity. Oatp1a/1b deficiency caused a 2.3-fold increased oral availability and corresponding decrease in liver distribution of repotrectinib. In Cyp3a−/− mice, repotrectinib plasma AUC0–h was 2.3-fold increased, and subsequently reduced 2.0-fold in humanized CYP3A4 transgenic mice. Collectively, Abcb1 and Abcg2 restrict repotrectinib brain accumulation and possibly toxicity, and control its intestinal disposition. Abcg2 also limits repotrectinib oral availability. Oatp1a/1b mediates repotrectinib liver uptake, thus reducing its systemic exposure. Systemic exposure of repotrectinib is also substantially limited by CYP3A activity. These insights may be useful to optimize the therapeutic application of repotrectinib.

Pixel P Air-Wise Fragile Image Watermarking Based on HC-Based Absolute Moment Block Truncation Coding

In this paper, we first designed Huffman code (HC)-based absolute moment block truncation coding (AMBTC). Then, we applied Huffman code (HC)-based absolute moment block truncation coding (AMBTC) to design a pixel pair-wise fragile image watermarking method. Pixel pair-wise tampering detection and content recovery mechanisms were collaboratively applied in the proposed scheme to enhance readability even when images have been tampered with. Representative features are derived from our proposed HC-based AMBTC compression codes of the original image, and then serve as authentication code and recovery information at the same time during tamper detection and recovery operations. Recovery information is embedded into two LSB of the original image with a turtle shell-based data hiding method and a pre-determined matrix. Therefore, each non-overlapping pixel-pair carries four bits of recovery information. When the recipient suspects that the received image may have been tampered with, the compressed image can be used to locate tampered pixels, and then the recovery information can be used to restore the tampered pixels.

Identification of Nasal Gammaproteobacteria with Potent Activity against Staphylococcus aureus: Novel Insights into the “Noncarrier” State

ABSTRACT Staphylococcus aureus nasal carriage provides the bacterial reservoir for opportunistic infection. In comparing the nasal microbiomes of culture-defined persistent S. aureus carriers versus noncarriers, we detected S. aureus DNA in all noses, including those with an established history of S. aureus negativity based on culture. Colonization with Gammaproteobacteria, including Klebsiella aerogenes, Citrobacter koseri, Moraxella lincolnii, and select Acinetobacter spp., was associated with S. aureus noncarriage. We next developed physiological competition assays for testing anti-S. aureus activity of isolated nasal species, utilizing medium modeling the nutrient-limited fluid of the nasal mucosa, polarized primary nasal epithelia, and nasal secretions. K. aerogenes from the nose of an S. aureus noncarrier demonstrated >99% inhibition of S. aureus recovery in all assays, even when S. aureus was coincubated in 9-fold excess. Secreted S. aureus inhibitory proteins from K. aerogenes and M. lincolnii were heat-stable and <30 kDa, fitting the profile of antimicrobial peptides. C. koseri, Acinetobacter haemolyticus, Acinetobacter junii, and Acinetobacter schindleri inhibited S. aureus recovery on nasal epithelia in a contact-dependent manner, while several other species either had no effect or promoted S. aureus growth. Collectively, this project is one of the first to identify resident nasal microbial species that impede S. aureus survival, and it implies that detectable nasal S. aureus results from shifts in microbial community composition. IMPORTANCE Nasal carriage of Staphylococcus aureus is a risk factor for infection, but it is not yet understood why some individuals carry nasal S. aureus persistently, intermittently, or seemingly not at all when tested via culture methods. This study compared the nasal microbiomes of established S. aureus carriers and noncarriers, identified species associated with noncarriage, and tested them for anti-S. aureus activity using assays developed to model the nutrient-limited nasal mucosa. We determined that all nostril swabs contain S. aureus DNA, even swabs from hosts considered to be long-term noncarriers. Select members of the Gammaproteobacteria class were more prevalent in noncarrier than carrier nostrils and demonstrated potent activity against multiple strains of S. aureus. The results described here provide a better understanding of how the nasal microbiome controls S. aureus growth and viability and may be useful in the design of improved S. aureus decolonization strategies.

A Methodological Evaluation of Crypto-Watermarking System for Medical Images

Health care institution demands exchange of medical images of number of patients to sought opinions from different experts. In order to reduce storage and for secure transmission of the medical images, Crypto-Watermarking techniques are adopted. The system is considered to be combinations of encryption technique with watermarking or steganography means adopted for safe transfer of medical images along with embedding of optional medical information. The Digital Watermarking is the process of embedding data to multimedia content. This can be done in spatial as well as frequency domain of the cover image to be transmitted. The robustness against attacks is ensured while embedding the encrypted data into transform domain, the encrypted data can be any secret key for the content recovery or patient record or the image itself. This chapter presents basic aspects of crypto-watermarking technique, as an application. It gives a detailed assessment on different approaches of crypto-watermarking for secure transmission of medical images and elaborates a case study on it.

A Smart Home Monitoring System for Abnormal Human Activity Detection using CNN

Demonstrating human practices and movement designs for acknowledgment or location of exceptional occasion has pulled in noteworthy research enthusiasm for late years. Differing strategies that are flourish for structure smart vision frameworks went for scene comprehension and making right semantic derivation from the watched elements of moving targets. Most applications are in reconnaissance, video content recovery, and human PC interfaces. In this propose a novel strategy for irregular human action recognition in jam-packed scenes/Home. In particular, as opposed to recognizing or fragmenting people, we formulated a productive technique, called a movement impact map, for speaking to human exercises. The key element of the proposed movement impact guide is that it viably mirrors the movement qualities of the development speed, development bearing, and size of the items or subjects and their communications inside an edge succession. In this propose System developing using CNN.

Watermarking Based on Compressive Sensing for Digital Speech Detection and Recovery †

In this paper, a novel imperceptible, fragile and blind watermark scheme is proposed for speech tampering detection and self-recovery. The embedded watermark data for content recovery is calculated from the original discrete cosine transform (DCT) coefficients of host speech. The watermark information is shared in a frames-group instead of stored in one frame. The scheme trades off between the data waste problem and the tampering coincidence problem. When a part of a watermarked speech signal is tampered with, one can accurately localize the tampered area, the watermark data in the area without any modification still can be extracted. Then, a compressive sensing technique is employed to retrieve the coefficients by exploiting the sparseness in the DCT domain. The smaller the tampered the area, the better quality of the recovered signal is. Experimental results show that the watermarked signal is imperceptible, and the recovered signal is intelligible for high tampering rates of up to 47.6%. A deep learning-based enhancement method is also proposed and implemented to increase the SNR of recovered speech signal.