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Infantile hemangiomas (IHs) of the lips are associated with an increased risk of incomplete involution and ulceration, causing disfigurement. Treatment with oral propranolol (OPT) has credible efficacy but takes months to complete. Thus, this study aimed to investigate the efficacy of intralesional betamethasone injection (IBI) as an alternative treatment for protruding localized IHs of the lips. To investigate the efficacies of OPT and IBI, we designed a prospective, noninferiority, parallel-group study. The primary outcome assessed was treatment response rate. Secondary outcome assessments included lesion size changes and surgical rate. Additionally, complication rates and treatment durations of OPT and IBI were compared. The treatment response rate of IBI was not inferior to that of OPT (95.7% vs. 76.0%, respectively; a difference of 19.7%, 95% confidence interval [CI], −4.4% to 41.6%). The average surgical rate in the IBI group was significantly lower than that in the OPT group (8.7% vs. 40%, respectively; p = 0.012), and the average duration of treatment for IBI was shorter than that of OPT (2.1 months vs. 6.3 months, respectively; p < 0.001). There were no severe adverse drug events in either group. If not managed properly, small, localized lip IHs may cause disfigurement in a child. Our study demonstrated that IBI is as effective as OPT in treating protruding localized lip IHs. Moreover, IBI treatment has a shorter duration and lower surgical rate than OPT. With proper care, IBI is an effective treatment modality for small and localized lip IHs. [ABSTRACT FROM AUTHOR]

This study aims to analyze whether information and communication technology (ICT) and renewable energy (RE) can assist in enhancing environmental quality. This study employs time series data from 1990 to 2019 using econometric techniques. The results show that the use of ICTs in the US, UK, China, Russia, Canada, Australia, Sweden, Norway, Switzerland, and Italy has decreased environmental protection. The results reveal that RE use enhances the sustainability of the environment regardless of the sample size or surrogate utilized for ICT. Impulse response functions show that, on average, the influence of ICT and RE lasts between one and seven years. The error correction model segmentation study verified that ICT and RE contribute to the volatility of carbon dioxide emissions. There is strong evidence that carbon dioxide emissions, ICT, and RE use have a bidirectional causal relationship in most circumstances. Several ICTs and RE strategies have been established and explored to profit from the possible positive influence of ICT and RE usage on environmental quality. • We analyze whether ICT and renewable energy helps enhance environmental quality. • This study employs time series data from 1990 to 2019 using econometric techniques. • Results show that the use of ICTs has led to decreased environmental protection. • CO 2 emissions, ICT, and RE use have a bidirectional causal relationship. [ABSTRACT FROM AUTHOR]

• For the first-time mathematical modeling of eccentric rotary disks considering nonlinear strain-displacement fields due to their wide applications. • Presenting auxetic metamaterials in the fabrication of the eccentric rotary disk for the first time. • Presenting coupled TDQM and Newmark's method to solve the nonlinear governing equations of the eccentric rotary eccentric disks. • Presenting critical points in the design of the eccentric rotary disks for related industries. Eccentric discs in rotational motion are commonly utilized in various technical fields, including gas turbine engines, flywheels, gears, and brakes. So, improving its critical angular velocity and frequency characteristics is a challenging issue for engineers. So, in this work for the first time, nonlinear vibrations and buckling analysis of the high-speed rotating eccentric disks using mathematical simulation and data-driven solutions are presented. One of the suggestions for improving its mechanical properties is considering metamaterials in the construction of the eccentric disk. Metamaterial is a novel synthetic material that has distinctive physical and mechanical capabilities that are unattainable in natural materials due to its well-designed structure. The properties of the eccentric disks are controlled by the amount of graphene and the degree of folding of graphene origami (GOri) across the thickness of the eccentric disks. These properties, such as Poisson's ratio, vary depending on the position and can be estimated using micromechanical models assisted by genetic programming (GP). Using von-Karman nonlinearity, transformed differential quadrature method (TDQM), and Newton's method the nonlinear governing equations are obtained and solved, respectively. The results show that when the radius ratio of the rotating eccentric disk increases by 8%, the critical point is decreased from 420 HZ to 370 HZ, a reduction of around 12 %. Another suggestion for improving its mechanical properties is controlling the geometrics and physics of the presented structure according to the designer's purposes. [ABSTRACT FROM AUTHOR]

This research examines the improvement of energy storage capacity in airplane bodies when exposed to certain frequencies of stimulation by using functionally graded triply periodic minimum surface (TPMS) materials. Our objective is to enhance the effectiveness of airplane bodies in withstanding different excitation frequencies by using a blend of machine learning methods and mathematical modeling. Functionally graded TPMS materials provide distinctive attributes, such as heightened mechanical robustness and lightweight qualities, making them optimal contenders for enhancing energy absorption in airplane bodies. The sheet-based architecture of the given TPMS is replicated using three unique geometries of unit cells: Primitive, Gyroid, and IWP. In the mathematical modeling realm, this article simulates six separate instances of volume distribution for each kind of FG-TPMS panel. Ultimately, by using the first-order Von-Karman nonlinear theory (FOCKT), this research derives the nonlinear governing equations. Subsequently, the nonlinear equations are solved using both the fourth-order Runge-Kutta technique and analytical approaches. By conducting extensive computer simulations and using machine learning methods, this article examines how airplane bodies behave when subjected to various excitation frequencies. Our goal is to optimize the design parameters in order to maximize the car airplane body's ability to absorb energy. The findings confirm the efficacy of the suggested method in improving the energy capacity of airplane bodies, opening up possibilities for groundbreaking breakthroughs in automotive engineering. [ABSTRACT FROM AUTHOR]