Formulation and clinical evaluation of hyaluronic acid nanogel in treatment of tear trough: Nano-flipping from injectable fillers to topical nanofillers.

Tear trough deformity (TTD) is a significant cosmetic concern, with current treatments relying primarily on invasive injectable fillers, which are costly and carry risks of complications. Despite the widespread use of hyaluronic acid (HA) in cosmetic applications, its poor dermal permeation has limited the development of effective topical fillers for TTD.This study aim to develop and evaluate a novel hyaluronic acid nanogel (nanofiller, NF) as a non-invasive topical filler for TTD.

Sustainable and Environmentally Friendly Microwave Synthesis of Nano-Hydroxyapatite from Decarbonized Eggshells.

The sustainable microwave (MW) synthesis of hydroxyapatite (HAp) from decarbonized eggshells was investigated. Decarbonization of eggshells, as a natural source of calcium carbonate (CaCO), was carried out in the current study at ambient conditions to reduce the footprint of CO emissions on our environment where either calcination or acidic direct treatments of eggshells produce CO emissions, which is a major cause for global warming. Eggshell decarbonization was carried out via the chemical reaction with sodium hydroxide (NaOH) alkaline solution in order to convert eggshell waste into calcium hydroxide (Ca(OH)) and simultaneously store CO as a sodium carbonate (NaCO) by-product which is an essential material in many industrial sectors.

Physics-informed NN-based adaptive backstepping terminal sliding mode control of buck converter for PEM electrolyzer.

This paper proposes an advanced control approach to controlling a DC-DC buck converter for a proton exchange membrane (PEM) electrolyzer within the framework of a direct current (DC) microgrid. The proposed adaptive backstepping terminal sliding mode control (ABTSMC) leverages a physics-informed neural network (PINN) to accurately estimate and compensate for system uncertainty. The composite controller achieves finite-time convergence of the tracking error by combining backstepping control and terminal sliding mode control (TSMC).

Qualitative behavior of a highly non-linear Cutaneous Leishmania epidemic model under convex incidence rate with real data.

In the context of this investigation, we introduce an innovative mathematical model designed to elucidate the intricate dynamics underlying the transmission of Anthroponotic Cutaneous Leishmania. This model offers a comprehensive exploration of the qualitative characteristics associated with the transmission process. Employing the next-generation method, we deduce the threshold value $ R_0 $ for this model.

A Generalized Model for Curved Nanobeams Incorporating Surface Energy.

This work presents a comprehensive model for nanobeams, incorporating beam curvature and surface energy. Gurtin-Murdoch surface stress theory is used, in conjunction with Euler-Bernoulli beam theory, to model the beams and take surface energy effects into consideration. The model was validated by contrasting its outcomes with experimental data published in the literature on the static bending of fixed-fixed and fixed-free nanobeams.

Potentially Harmful Elements Associated with Dust of Mosques: Pollution Status, Sources, and Human Health Risks.

Potentially harmful elements (PHEs) associated with dust generated from anthropogenic sources can be transported into mosques and deposited on the filters of the air-conditioners (AC); thereby, children and adults are exposed to such PHEs while visiting mosques. Data dealing with the assessment of PHEs pollution and its human health risk in mosques dust in Saudi Arabia are scarce. Therefore, this work aims to examine the levels and pollution status of PHEs in AC filter dust (ACFD) of mosques and their associated human health risk in three Saudi cities: Jubail, Jeddah, and Dammam metropolitan.

Experimental shielding properties for a novel glassy system.

In the current study, we fabricated a series of boro-tellurite glass samples with a composition 10SrO-10AlO-10MoO-(70-x)BO-xTeO, where (x = 0, 17.5, 35, 52.5, and 70 mol%) via an ordinary melt-quench method.

Design of RNAs: comparing programs for inverse RNA folding.

Computational programs for predicting RNA sequences with desired folding properties have been extensively developed and expanded in the past several years. Given a secondary structure, these programs aim to predict sequences that fold into a target minimum free energy secondary structure, while considering various constraints. This procedure is called inverse RNA folding.