Film forming gel for treatment of oral mucositis: In vitro studies

Oral mucositis is one of the main complications of non-surgical cancer treatments. The present work focuses on the treatment or reduction of oral mucositis by using combined mechanism by formation of physical barrier by forming a film to cover the oral ulcer and use of therapeutic agents, such as diclofenac sodium and ofloxacin separately or in combination. The selected polymers for film forming gel formulations are Hydroxypropylcellulose (HPC), hydroxypropyl methylcellulose (HPMC), sodium carboxymethylcellulose (Na CMC) and carbopol 940 (CP). The residence time in simulated buccal saliva was between 5.5 to 6 hours for all formulations. The in-vitro release data of the investigated drugs from the prepared formulations followed zero-order and diffusion mechanism. The permeability studies data revealed that diclofenac sodium showed higher permeability from Na CMC/CP (2:0.3%) than from HPMC 4%, while in case of ofloxacin higher permeability was shown from Na CMC/CP (2:0.3%) than from HPMC/HPC (2:3%). The permeation parameters for diclofenac sodium and ofloxacin in their combination do not depend on either viscosity or pH, they depend on the type of polymers used.Keywords: Mucositis; Film-forming gel; Rheology; In vitro studies

Investigation of High-Velocity Projectile Penetrating Concrete Blocks Reinforced by Layers of High Toughness and Energy Absorption Materials

Recently, the need to protect people and structures against attacks of terrorists are of a high increase. The main objective of this paper is to enhance the concrete resistance against ballistic impact of high velocity projectile by using different combination layers from different materials as reinforcement for concrete and investigate their effect on the penetration depth of projectile and the resulted damage of concrete. The investigation presents the development of a finite element accurate models using AUTODYN 3D. The Lagrangian formulation numerical techniques is used to model the projectile and concrete target. The investigated models are reinforced using different layers combinations of several materials such as ceramics, fiber composite, polymer and metal: (AL2O3 - 99.7% and Kevlar- epoxy, Teflon and aluminum alloy 6061-T6) .Those materials were chosen because of their high thermal shock resistance or their great capability in energy absorption. The main findings showed a significant enhancement in the reduction of penetration depth compared to the concrete resistance without reinforcement, which demonstrate the great performance of the used combinations in the shock wave propagation. Hence from the findings of this work we can say that the concrete reinforced by ceramics or aluminum alloy with fiber composite or polymer can be used for several applications as it represents a successful anti-penetration composite structure

Enhancing Speech Articulation Analysis using a Geometric Transformation of the X-ray Microbeam Dataset

Accurate analysis of speech articulation is crucial for speech analysis. However, X-Y coordinates of articulators strongly depend on the anatomy of the speakers and the variability of pellet placements, and existing methods for mapping anatomical landmarks in the X-ray Microbeam Dataset (XRMB) fail to capture the entire anatomy of the vocal tract. In this paper, we propose a new geometric transformation that improves the accuracy of these measurements. Our transformation maps anatomical landmarks' X-Y coordinates along the midsagittal plane onto six relative measures: Lip Aperture (LA), Lip Protusion (LP), Tongue Body Constriction Location (TTCL), Degree (TBCD), Tongue Tip Constriction Location (TTCL) and Degree (TTCD). Our novel contribution is the extension of the palate trace towards the inferred anterior pharyngeal line, which improves measurements of tongue body constriction

Optimization of Fuzzy Logic Controller for Supervisory Power System Stabilizers

This paper presents a powerful supervisory power system stabilizer (PSS) using an adaptive fuzzy logic controller driven by an adaptive fuzzy set (AFS). The system under study consists of two synchronous generators, each fitted with a PSS, which are connected via double transmission lines. Different types of PSS-controller techniques are considered. The proposed genetic adaptive fuzzy logic controller (GAFLC)-PSS, using 25 rules, is compared with a static fuzzy logic controller (SFLC) driven by a fixed fuzzy set (FFS) which has 49 rules. Both fuzzy logic controller (FLC) algorithms utilize the speed error and its rate of change as an input vector. The adaptive FLC algorithm uses a genetic algorithmto tune the parameters of the fuzzy set of each PSS. The FLC’s are simulated and tested when the system is subjected to different disturbances under a wide range of operating points. The proposed GAFLC using AFS reduced the computational time of the FLC, where the number of rules is reduced from 49 to 25 rules. In addition, the proposed adaptive FLC driven by a genetic algorithm also reduced the complexity of the fuzzy model, while achieving a good dynamic response of the system under study

Optimization of Fuzzy Logic Controller for Supervisory Power System Stabilizers

This paper presents a powerful supervisory power system stabilizer (PSS) using an adaptive fuzzy logic controller driven by an adaptive fuzzy set (AFS). The system under study consists of two synchronous generators, each fitted with a PSS, which are connected via double transmission lines. Different types of PSS-controller techniques are considered. The proposed genetic adaptive fuzzy logic controller (GAFLC)-PSS, using 25 rules, is compared with a static fuzzy logic controller (SFLC) driven by a fixed fuzzy set (FFS) which has 49 rules. Both fuzzy logic controller (FLC) algorithms utilize the speed error and its rate of change as an input vector. The adaptive FLC algorithm uses a genetic algorithmto tune the parameters of the fuzzy set of each PSS. The FLC’s are simulated and tested when the system is subjected to different disturbances under a wide range of operating points. The proposed GAFLC using AFS reduced the computational time of the FLC, where the number of rules is reduced from 49 to 25 rules. In addition, the proposed adaptive FLC driven by a genetic algorithm also reduced the complexity of the fuzzy model, while achieving a good dynamic response of the system under study

Oil Extracted Moringa peregrina Seed Cake as a Feed Ingredient in Poultry: A Chemical Composition and Nutritional Value Study

The chemical composition, antioxidant activity, tannic acid content, mineral, fatty acid, and amino acid profiles of oil-extracted Moringa peregrina seed meal (OEMPSM) were determined. Apparent (AME) and true (AMEn) metabolizable energy and apparent (AAAU) and true (TAAU) amino acid utilization were evaluated using a precision feeding trial. The protein (CP) quality was evaluated by a total efficiency analysis method. The antioxidant activity, gauged by 2,2-diphenyl-1-picrylhydrazyl (DPPH), was 237, 353, and 15.2 mg/mL for the water and ethanol extracts, and ascorbic acid, respectively. Tannic acids were 131.4 mg/100 g dry weight. The OEMPSM had 27.2% CP and 22.4, 15.1, and 15.8 MJ/kg of gross energy, AME and AMEn, respectively. The neutral detergent fiber, acid detergent fiber, and hemicellulose were 40.2, 29.7, and 10.5% DM, respectively. The 15.41% of total fatty acids were saturated and 84.57% unsaturated. The AAAU and TAAU of OEMPSM were 30.92% and 61.06%, respectively. From findings, OEMPSM comprises a valuable level of bioactive substances, amino acids, fatty acids, minerals, and energy; it can provide up to 1.12% of the requirements of total amino acids of chickens (1–21 days); however, the quality of its protein was found to be 44.6% less than that of protein of soybean meal

BCR-ABL Tyrosine Kinase Inhibitors as Candidates for the Treatment of COVID-19: Molecular Docking, Pharmacophore Modeling, ADMET Studies

The novel coronavirus pandemic (COVID-19) caused by SARS-CoV-2 has affected more than 53 million individuals worldwide. Currently, there is a dire need to develop or find potential drugs that can treat SARS-CoV-2 infection. One of the standard methods to accelerate drug discovery and development in pandemics is to screen currently available medications against the critical therapeutic targets to find potential therapeutic agents. The literature has pointed out to the 3CLpro and RdRp proteins as the most important proteins involved in viral replications. In the present study, we used an in-silico modeling approach to examine the affinity of six tyrosine kinases inhibitors (TKIs), Imatinib, Ponatinib, Nilotinib, Gefitinib, Erlotinib, and Dasatinibagainst the 3CLpro and RdRp by calculating the energy balance. The six tested TKIs had energy balance values of more than -7 Kcal/mol for both viral target proteins. Nilotinib and Ponatinib showed the highest affinity for 3CLpro (-8.32, -8.16, respectively) while Dasatinib, Ponatinib, and Imatinib presented the strongest binding toRdRp(-14.50, -10.57, -9.46, respectively). Based on these findings, we recommend future evaluations of TKIs for SARs-CoV-2 infection in-vitro and further testing in clinical trials