Range aware message drop policy for delay tolerant networks.

In delay tolerant networks (DTNs) the messages are often not delivered to the destination due to a lack of end-to-end connectivity. In such cases, the messages are stored in the buffer for a long time and are transmitted when the nodes come into the range of each other. The buffer size of each node has a limited capacity, and it cannot accommodate the new incoming message when the buffer memory is full, and as a result network congestion occurs. This leads to a low delivery probability and thus increases the overhead ratio. In this research work, a new buffer management scheme called Range Aware Drop (RAD) is proposed which considers metrics such as message size and time to live (TTL). RAD utilizes TTL as an important metric and as a result, reduces the unnecessary message drop. Simulation results reveal that RAD performs significantly better than drop oldest (DOA) and size aware drop (SAD) in terms of delivery probability and overhead ratio. The obtained results also revealed that the hop-count average of SAD is 3.9 and DOA is 3.4 while the hop-count average of RAD is just 1.7. Also, the message drop ratio of the RAD is 36.2% while SAD and DOA have message drop ratios of 73.3% and 84.9% respectively.

A combination of gliclazide and metformin attenuates obesity-induced polycystic ovary syndrome in female Wistar rats.

Presently, it is known that the progression of obesity concomitantly leads to polycystic ovary syndrome and infertility. This study aimed to evaluate the potential effects of metformin (M; insulin secretagogues) and gliclazide (G; insulin sensitizer) alone and their combination at different doses to treat obesity-induced PCOS. High high-fat diet was given to all female Wistar rats for nine weeks to induce obesity except for the normal control group which received a normal chow diet. Estradiol valerate (0.8 mg/kg) was also given to all obese rats to induce polycystic ovarian syndrome. After the induction, M (100, 300 mg/kg) and G (5, 10 mg/kg) were given orally either individually or in combination for 28 days. The notable (p < 0.0001) reduction in body weight and blood glucose level was observed in treatment groups in contrast to disease control (DCG). The marked (p < 0.05-0.0001) decrease in hemocylated hemoglobin, serum insulin, cholesterol, triglycerides, and testosterone was observed in treated groups, notably in combination groups (M100+G10 mg/kg) in contrast to DCG. There was a considerable (p < 0.01-0.0001) increase in progesterone E2, estradiol, luteinizing, and follicle-stimulating hormones in treated groups as compared to DCG. Treatment with M and G treated groups also exhibited marked (p < 0.05-0.0001) increases in SOD, CAT, and GSH while decreased in NO and MDA levels in ovary tissue as evidenced by the histological study of the ovary. Treatment with M and G alone and in combination significantly (p < 0.0001) restored the serum IL-6, NrF2, and NF-κB levels as compared to DCG. The results inveterate that the M and G combination (M100+G10, and M300+G10) was useful in treating obesity-induced infertility due to antioxidant properties, hypolipidemic effects, and modulation of inflammatory markers.

Optimal surgical approach for mid-transverse colon cancer: a systematic review and meta-analysis.

BACKGROUND AND AIM: The incidence of cancer colon has increased dramatically. In addition, the database lacks a review to analyze the outcomes of surgeries for mid-transverse colon cancer with several recent controversial studies. We aimed to compare the outcomes of extended hemicolectomy versus transverse colectomy for mid-transverse colon cancer. METHOD: PubMed, Scopes, Web of Science and Cochrane Library were searched for eligible studies from inception to 1 December 2022 and a systematic review and meta-analysis were done to detect. RESULTS: According to eligibility criteria, 8 studies (2237 patients) were included in our study. The pooled results of the included studies showed no difference in the 5-year OS, 3-year DFS and 5-year DFS between the two types of surgery (5-year OS, RR = 1.15, 95% CI 0.94-1.39, P = 0.17), (3-year OS, RR = 0.96, 95% CI 0.88-1.06, P = 0.42) and (5-year DFS, RR = 1.21, 95% CI 0.91-1.62, P = 0.20). In addition to that, the recurrence rate and the incidence of complications were similar in the two groups (Recurrence rate, RR = 1.08, 95% CI 0.62-1.89, P = 0.79) and (Complications, RR = 1.07, 95% CI 0.74-1.54, P = 0.72). However, the number of LN harvest and the time of the operation were more in case of extended hemicolectomy. CONCLUSION: Despite harvesting less LN, transverse colectomy has similar oncological outcomes to extended hemicolectomy for mid-transverse colon cancer. In addition to that, there was no significant difference in the incidence of complications between the two surgeries.

Development of biomedical hydrogels for rheumatoid arthritis treatment.

Rheumatoid Arthritis (RA) is an autoimmune disorder that hinders the normal functioning of bones and joints and reduces the quality of human life. Every year, millions of people are diagnosed with RA worldwide, particularly among elderly individuals and women. Therefore, there is a global need to develop new biomaterials, medicines and therapeutic methods for treating RA. This will improve the Healthcare Access and Quality Index and also relieve administrative and financial burdens on healthcare service providers at a global scale. Hydrogels are soft and cross-linked polymeric materials that can store a chunk of fluids, drugs and biomolecules for hydration and therapeutic applications. Hydrogels are biocompatible and exhibit excellent mechanical properties, such as providing elastic cushions to articulating joints by mimicking the natural synovial fluid. Hence, hydrogels create a natural biological environment within the synovial cavity to reduce autoimmune reactions and friction. Hydrogels also lubricate the articulating joint surfaces to prevent degradation of synovial surfaces of bones and cartilage, thus exhibiting high potential for treating RA. This work reviews the progress in injectable and implantable hydrogels, synthesis methods, types of drugs, advantages and challenges. Additionally, it discusses the role of hydrogels in targeted drug delivery, mechanistic behaviour and tribological performance for RA treatment.

Current Updates on the Role of MicroRNA in the Diagnosis and Treatment of Neurodegenerative Diseases.

BACKGROUND: MicroRNAs (miRNA) are small noncoding RNAs that play a significant role in the regulation of gene expression. The literature has explored the key involvement of miRNAs in the diagnosis, prognosis, and treatment of various neurodegenerative diseases (NDD), such as Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD). The miRNA regulates various signalling pathways; its dysregulation is involved in the pathogenesis of NDD. OBJECTIVE: The present review is focused on the involvement of miRNAs in the pathogenesis of NDD and their role in the treatment or management of NDD. The literature provides comprehensive and cutting-edge knowledge for students studying neurology, researchers, clinical psychologists, practitioners, pathologists, and drug development agencies to comprehend the role of miRNAs in the NDD's pathogenesis, regulation of various genes/signalling pathways, such as α-synuclein, P53, amyloid-ß, high mobility group protein (HMGB1), and IL-1ß, NMDA receptor signalling, cholinergic signalling, etc. Methods: The issues associated with using anti-miRNA therapy are also summarized in this review. The data for this literature were extracted and summarized using various search engines, such as Google Scholar, Pubmed, Scopus, and NCBI using different terms, such as NDD, PD, AD, HD, nanoformulations of mRNA, and role of miRNA in diagnosis and treatment. RESULTS: The miRNAs control various biological actions, such as neuronal differentiation, synaptic plasticity, cytoprotection, neuroinflammation, oxidative stress, apoptosis and chaperone-mediated autophagy, and neurite growth in the central nervous system and diagnosis. Various miRNAs are involved in the regulation of protein aggregation in PD and modulating ß-secretase activity in AD. In HD, mutation in the huntingtin (Htt) protein interferes with Ago1 and Ago2, thus affecting the miRNA biogenesis. Currently, many anti-sense technologies are in the research phase for either inhibiting or promoting the activity of miRNA. CONCLUSION: This review provides new therapeutic approaches and novel biomarkers for the diagnosis and prognosis of NDDs by using miRNA.

Development of mRNA nano-vaccines for COVID-19 prevention and its biochemical interactions with various disease conditions and age groups.

This review has focused on the development of mRNA nano-vaccine and the biochemical interactions of anti-COVID-19 mRNA vaccines with various disease conditions and age groups. It studied five major groups of individuals with different disease conditions and ages, including allergic background, infarction background, adolescent, and adult (youngsters), pregnant women, and elderly. All five groups had been reported to have background-related adverse effects. Allergic background individuals were observed to have higher chances of experiencing allergic reactions and even anaphylaxis. Individuals with an infarction background had a higher risk of vaccine-induced diseases, e.g. pneumonitis and interstitial lung diseases. Pregnant women were seen to suffer from obstetric and gynecological adverse effects after receiving vaccinations. However, interestingly, the elderly individuals (> 65 years old) had experienced milder and less frequent adverse effects compared to the adolescent (<19 and >9 years old) and young adulthood (19-39 years old), or middle adulthood (40-59 years old) age groups, while middle to late adolescent (14-17 years old) was the riskiest age group to vaccine-induced cardiovascular manifestations.

Evaluation of biological potential of UV-spectrophotometric, SEM, FTIR, and EDS observed Punica granatum and Plectranthus rugosus extract-coated silver nanoparticles: A comparative study.

Recent developments in the green synthesis of metallic nanoparticles (NPs) using phytoconstituents have attracted the attention of the global scientific community. The present study was designed to synthesize silver NPs (AgNPs) using Punica granatum and Plectranthus rugosus plant extracts. The fabricated AgNPs were characterized using UV-visible spectrophotometry (UV-Vis), Fourier-transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and energy-dispersive x-ray spectroscopy (EDS). The shift in the color of the silver nitrate (AgNO3 ) solution after the addition of P. granatum and P. rugosus extracts indicated the synthesis of AgNPs. The effect of AgNO3 concentrations and pH on the synthesis of AgNPs was also evaluated. The findings of this study suggest that AgNO3 concentration of 1 mM, reaction time of 1 h, and pH of 7 at room temperature were the best suited conditions for the synthesis of AgNPs. According to the FTIR analysis, amidic and carbonyl compounds were primarily responsible for the encapsulation of AgNPs. SEM investigations have shown irregularly shaped geometry with sizes of 35 nm (P. granatum) and 33 nm (P. rugosus) with low agglomeration. The prepared AgNPs exhibited good potential for 2,2-diphenyl-1-picrylhydrazyl radical scavenging, with values of 70% (P. granatum) and 68% (P. rugosus). Hence, we conclude that the leaves of P. granatum and P. rugosus are excellent material for designing of different plant-extracted-conjugated AgNPs for biomedical applications. RESEARCH HIGHLIGHTS: Preparation of the AgNPs using novel plants extracts. P. granatum and P. rugosus extract as reducing, capping, stabilizing, and optimizing agents. Thorough comparative characterization using UV-Vis spectrophotometer, FTIR, SEM, and EDS which is a first of its kind. Comparative antioxidant activity.

UV-spectrophotometric Optimization of Temperature, pH, Concentration and Time for Eucalyptus Globulus Capped Silver Nanoparticles Synthesis, their Characterization and Evaluation of Biological Applications.

Morphology (size, shape) and structural variations (bonding pattern, crystallography, and atomic arrangements) have significant impacts on the efficacy of the metallic nanoparticles. Fabrication of these metal nanoparticles through green synthesis using plant extracts has increased attention due to their low cost, less hazardous byproducts, and multiple applications. In present study, Eucalyptus globulus extract was used to synthesize silver nanoparticles (AgNPs). Change of color from light brown to reddish brown and UV-visible spectral peak at 423 nm confirmed the formation of AgNPs. The shifting of FTIR spectra peaks indicated the potential role of the functional groups in extract as capping agents. The DLS evaluated the average size and stability of the nanoparticles while the surface morphology, size and the elemental composition of the AgNPs was established by the FESEM and EDX analysis. The SEM images revealed spherical nanoparticles of size ranging from 40-60 nm. Biogenic AgNPs showed better DPPH radical scavenging activity with IC50 (13.44 ± 0.3) as compared to leaves extract with IC50 (10.57 ± 0.2). The synthesized AgNPs showed higher zones of inhibition (ZOI) by well diffusion method against Escherichia coli, Staphylococcus aureus and Klebsiella pneumoniae. Results of present study highlights the potential benefits of Eucalyptus globulus leaves extract-based AgNPs for various biomedical uses.

A classifier model for prostate cancer diagnosis using CNNs and transfer learning with multi-parametric MRI.

Prostate cancer (PCa) is a major global concern, particularly for men, emphasizing the urgency of early detection to reduce mortality. As the second leading cause of cancer-related male deaths worldwide, precise and efficient diagnostic methods are crucial. Due to high and multiresolution MRI in PCa, computer-aided diagnostic (CAD) methods have emerged to assist radiologists in identifying anomalies. However, the rapid advancement of medical technology has led to the adoption of deep learning methods. These techniques enhance diagnostic efficiency, reduce observer variability, and consistently outperform traditional approaches. Resource constraints that can distinguish whether a cancer is aggressive or not is a significant problem in PCa treatment. This study aims to identify PCa using MRI images by combining deep learning and transfer learning (TL). Researchers have explored numerous CNN-based Deep Learning methods for classifying MRI images related to PCa. In this study, we have developed an approach for the classification of PCa using transfer learning on a limited number of images to achieve high performance and help radiologists instantly identify PCa. The proposed methodology adopts the EfficientNet architecture, pre-trained on the ImageNet dataset, and incorporates three branches for feature extraction from different MRI sequences. The extracted features are then combined, significantly enhancing the model's ability to distinguish MRI images accurately. Our model demonstrated remarkable results in classifying prostate cancer, achieving an accuracy rate of 88.89%. Furthermore, comparative results indicate that our approach achieve higher accuracy than both traditional hand-crafted feature techniques and existing deep learning techniques in PCa classification. The proposed methodology can learn more distinctive features in prostate images and correctly identify cancer.

Effects of Poultry Manure on the Growth, Physiology, Yield, and Yield-Related Traits of Maize Varieties.

Industries play a significant role in the improvement of lifestyle and in the development of a country. However, the byproducts from these industries are a source of environmental pollution. The proper use of the byproducts of these industries can help to cope with environmental pollution. Some byproducts have high nutritional content and are good for crop plants. The purpose of this research was to investigate the effect of different rates of poultry manure on the soil chemical properties, growth, and yield of maize. A pot experiment was conducted in the botanical garden of the Department of Botany, University of Sargodha, Pakistan to investigate the effect of various treatments of poultry manure (0, 25, 50, 75, and 100 g/pot) on the morphological, physiological, and yield attributes of two maize varieties, Pearl and MMRI. Treatment T1 was a mixture of soil and 75 g/pot poultry manure, T2 was a mixture of soil and 50 g/pot poultry manure, T3 was a mixture of soil and 25 g/pot poultry manure, and T4 was 100 g/pot poultry manure. Soil without any industrial byproduct (100% soil only) was used as the control (T0). The results revealed that the use of poultry manure enhanced the physical properties of the soil. Available P and soil organic matter were improved in soil amended with poultry manure. It is evident from the results that the vegetative growth of both maize varieties was significantly enhanced by growing in soil amended with poultry manure as compared to their respective control. Similar responses were also recorded for the physiological attributes of leaf area, photosynthetic rate, transpiration rate, stomatal conductance, and water use efficiency of both varieties. Yield and yield-contributing traits of both maize varieties were significantly improved by growing plants in soil amended with 50 and 75 g/pot of poultry manure. It is also inferred that the use of 50 g/pot poultry manure in soil amendment is an eco-friendly and economically effective option for maize growers of arid and semiarid regions to enhance the kernel yield and profit per annum. Poultry manure could be useful to ameliorate the adverse effects of salinity stress on all parameters, particularly the grain yield. Furthermore, this would be a useful and economical method for the safe disposal of byproducts.

Micro- and nanoplastics: Contamination routes of food products and critical interpretation of detection strategies.

Micro-and nanoplastics (M/NPs) are emerging pollutants released into the food, beverages, and environment from plastic products by weathering, oxidative damage, and mechanical stress. Detection of M/NPs in food and beverages is a vital factor in preventing the deleterious effects of these materials on human health and other ecosystems. Analytical strategies for M/NPs demonstrate numerous drawbacks, including detection sensitivity limitation, matrix digestion, and sample pretreatment. Moreover, the content of M/NPs in food and beverages varies with food production, storage, and transport, making it hard to precisely detect them. The contamination route is a key factor affecting the level of M/NPs in food and beverages. Strict control over the contamination route could be beneficial in preventing M/NP pollution. This review highlighted routes of food and beverage contamination by M/NPs, various pros and cons of detection strategies, and critical interpretation of reported techniques, including microscopy, spectroscopy, light scattering, and thermal methods. Besides, the bottlenecks of detection and quantification approaches for M/NPs and recent advancements have also been highlighted. Much is still unknown concerning the fate, activities, and properties of M/NPs present in various matrices. This review aims to assist the investigators to tackle the drawbacks and pave the way for upcoming research, minimizing the health complications by regulating the control over M/NPs pollution.

An Intelligent Agent-Based Detection System for DDoS Attacks Using Automatic Feature Extraction and Selection.

Distributed Denial of Service (DDoS) attacks, advanced persistent threats, and malware actively compromise the availability and security of Internet services. Thus, this paper proposes an intelligent agent system for detecting DDoS attacks using automatic feature extraction and selection. We used dataset CICDDoS2019, a custom-generated dataset, in our experiment, and the system achieved a 99.7% improvement over state-of-the-art machine learning-based DDoS attack detection techniques. We also designed an agent-based mechanism that combines machine learning techniques and sequential feature selection in this system. The system learning phase selected the best features and reconstructed the DDoS detector agent when the system dynamically detected DDoS attack traffic. By utilizing the most recent CICDDoS2019 custom-generated dataset and automatic feature extraction and selection, our proposed method meets the current, most advanced detection accuracy while delivering faster processing than the current standard.

Exploring the robustness of DNA nanotubes framework for anticancer theranostics toward the 2D/3D clusters of hypopharyngeal respiratory tumor cells.

This study aimed to develop a robust approach for the early diagnosis and treatment of tumors. Short circular DNA nanotechnology synthesized a stiff and compact DNA nanotubes (DNA-NTs) framework. TW-37, a small molecular drug, was loaded into DNA-NTs for BH3-mimetic therapy to elevate the intracellular cytochrome-c levels in 2D/3D hypopharyngeal tumor (FaDu) cell clusters. After anti-EGFR functionalization, the DNA-NTs were tethered with a cytochrome-c binding aptamer, which can be applied to evaluate the elevated intracellular cytochrome-c levels via in situ hybridization (FISH) analysis and fluorescence resonance energy transfer (FRET). The results showed that DNA-NTs were enriched within the tumor cells via anti-EGFR targeting with a pH-responsive controlled release of TW-37. In this way, it initiated the triple inhibition of "BH3, Bcl-2, Bcl-xL, and Mcl-1". The triple inhibition of these proteins caused Bax/Bak oligomerization, leading to the perforation of the mitochondrial membrane. This led to the elevation of intracellular cytochrome-c levels, which reacted with the cytochrome-c binding aptamer to produce FRET signals. In this way, we successfully targeted 2D/3D clusters of FaDu tumor cells and achieved the tumor-specific and pH-triggered release of TW-37, causing tumor cell apoptosis. This pilot study suggests that anti-EGFR functionalized, TW-37 loaded, and cytochrome-c binding aptamer tethered DNA-NTs might be the hallmark for early tumor diagnosis and therapy.

Disrupting biofilm and eradicating bacteria by Ag-Fe3O4@MoS2 MNPs nanocomposite carrying enzyme and antibiotics.

In this study, novel multilayered magnetic nanoparticles (ML-MNPs) loaded with DNase and/or vancomycin (Vanc) were fabricated for eliminating multispecies biofilms. Iron-oxide MNPs (IO-core) (500-800 nm) were synthesized via co-precipitation; further, the IO-core was coated with heavy-metal-based layers (Ag and MoS2 NPs) using solvent evaporation. DNase and Vanc were loaded onto the outermost layer of the ML-MNP formed by nanoporous MoS2 NPs through physical deposition and adsorption. The biofilms of S. mutans or E. faecalis (or both) were formed in a brain-heart-infusion broth (BHI) for 3 days, followed by treatment with ML-MNPs for 24 h. The results revealed that coatings of Ag (200 nm) and ultrasmall MoS2 (20 nm) were assembled as outer layers of ML-MNPs successfully, and they formed Ag-Fe3O4@MoS2 MNPs (3-5 µm). The DNase-Vanc-loaded MNPs caused nanochannels digging and resulted in the enhanced penetration of MNPs towards the bottom layers of biofilm, which resulted in a decrease in the thickness of the 72-h biofilm from 48 to 58 µm to 0-4 µm. The sustained release of Vanc caused a synergistic bacterial killing up to 96%-100%. The heavy-metal-based layers of MNPs act as nanozymes to interfere with bacterial metabolism and proliferation, which adversely affects biofilm integrity. Further, loading DNase/Vanc onto the nanoporous-MoS2-layer of ML-MNPs promoted nanochannel creation through the biofilm. Therefore, DNase-and Vanc-loaded ML-MNPs exhibited potent effects on biofilm disruption and bacterial killing.

CAVVPM: Challenge-Based Authentication and Verification of Vehicle Platooning at Motorway.

As a result of vehicle platooning, advantages including decreased traffic congestion and improved fuel economy are expected. Vehicles in a platoon move in a single line, closely spaced, and at a constant speed. Vehicle-to-vehicle communications and sensor data help keep the platoon formation in place, and the CACC system is responsible for maintaining it. In reality, V2V transmissions are essential for reducing platooning distances while still ensuring their safety and security. It is far more difficult to confirm the veracity of a V2V message's content than it is to verify its integrity and source authentication. Only platoon members can send and receive V2V communications by implementing a practical access control mechanism. The goal is to link a prospective platoon member's digital identification to their actual location inside the unit. A physical challenge-response interaction is used in the CAVVPM process to verify that a prospective platoon member respects the rules. The applicant is asked to perform a series of random longitudinal movements, thus, the protocol's name. Remote attackers cannot join the platoon or send bogus CACC communications because CAVVPM blocks them. CAVVPM is more resistant to pre-recording assaults than previous work, and it can validate that the candidate is precisely behind the verifier in the same lane compared to previous studies.

Hepatoprotective effect of Cordia rothii extract against CCl4-induced oxidative stress via Nrf2-NFκB pathways.

Cordia rothii Roem. & Schult. possesses various beneficial effects and is traditionally used in folk medicine against liver diseases but its molecular mechanism remains unclear. Antioxidant and hepatoprotective effects of Cordia rothii methanolic fraction (CRMF) were investigated in CCl4-induced liver injury. Antioxidant effects were evaluated using DPPH assay, ferric thiocyanate (FTC) assay, and HepG2 cells. A qualitative analysis of phytochemicals was carried out by gas chromatography-mass spectrometry (GC-MS). The hepatoprotective effects of CRMF were assessed against CCl4-induced liver damage in rats. Our results showed that CRMF significantly increased cell viability against CCl4-induced HepG2 cells. The in vivo results showed that CRMF significantly reduced the level of aspartate aminotransferase (AST), alanine transaminase (ALT), alkaline phosphatase (ALP), total bilirubin, hepatic antioxidant enzymes, including superoxide dismutase, malondialdehyde, and increased glutathione level. Normal hepatocyte integrity and microstructures were observed in histopathological results. Furthermore, the mRNA level of inflammatory mediators including interleukon (IL)-1ß, IL-6, TNF-α, nuclear factor kappa B (NF-KB), IL-10 and nuclear factor-erythroid factor 2-related factor 2 (NrF2) were reverted in CRMF pretreatment groups. Thus, CRMF exhibited strong antioxidant, and hepatoprotective activities, which may involve Nrf2-NFκB pathways.

Topical lycopene emulgel significantly improves biophysical parameters of human skin.

Carotenoids, including lycopene, are promising antioxidants that sequester free radicals and counterbalance oxidative stress, preventing cardiovascular diseases, cancer, photo-damage, and decelerating aging. Fabricating the antioxidant effective and stable topical formulations with efficient skin penetration and preserving their activity by minimizing the oxidative damage due to ionization, pH extremes, high storage temperature, and metal ions, has been challenging. Herein, we developed a lycopene-based topical emulgel and investigated its impact on biophysical parameters of human skin using non-invasive in vivo techniques and sensory evaluation for consumer acceptability to bottleneck the demerits of conventional formulations. The results demonstrated that the designed formulation significantly enhanced the skin hydration and elasticity, p-value < 0.05, whereas erythema, melanin and sebum contents were considerably reduced, p-value < 0.05, when compared with placebo formulation over 12 weeks. These findings were attributed to the potent antioxidant potential of lycopene that was preserved in the stable formulation, halting the cascade of free radical-related subsequent reactions in the skin. To the best of our knowledge, there is no report about the topical effects of lycopene-based emulgel in human volunteers. Besides, the average scores by the volunteers concerning sensory evaluation at the end of the 12th week of the study indicated that the formulation will be commercially acceptable by the consumers. We believe that formulation will be valuable commercially in promoting the treatment of topical infections, such as acne, and oxidative stress-related skin disorders, and decelerating the aging process.