Recent advancements in the field of biomedical engineering have underscored the pivotal role of biodegradable materials in addressing the challenges associated with tissue regeneration therapies. The spectrum of biodegradable materials presently encompasses ceramics, polymers, metals, and composites, each offering distinct advantages for the replacement or repair of compromised human tissues. Despite their utility, these biomaterials are not devoid of limitations, with issues such as suboptimal tissue integration, potential cytotoxicity, and mechanical mismatch (stress shielding) emerging as significant concerns. To mitigate these drawbacks, our research collective has embarked on the development of protein-based composite materials, showcasing enhanced biodegradability and biocompatibility. This study is dedicated to the elaboration and characterization of an innovative suture fabricated from human serum albumin through an extrusion methodology. Employing a suite of analytical techniques—namely tensile testing, scanning electron microscopy (SEM), and thermal gravimetric analysis (TGA)—we endeavored to elucidate the physicochemical attributes of the engineered suture. Additionally, the investigation extends to assessing the influence of integrating biodegradable organic modifiers on the suture's mechanical performance. Preliminary tensile testing has delineated the mechanical profile of the Filament Suture (FS), delineating tensile strengths spanning 1.3 to 9.616 MPa and elongation at break percentages ranging from 11.5 to 146.64%. These findings illuminate the mechanical versatility of the suture, hinting at its applicability across a broad spectrum of medical interventions. Subsequent analyses via SEM and TGA are anticipated to further delineate the suture’s morphological features and thermal resilience, thereby enriching our comprehension of its overall performance characteristics. Moreover, the investigation delves into the ramifications of incorporating biodegradable organic constituents on the suture's mechanical integrity. Collectively, the study not only sheds light on the mechanical and thermal dynamics of a novel suture material derived from human serum albumin but also explores the prospective enhancements afforded by the amalgamation of biodegradable organic compounds, thereby broadening the horizon for future biomedical applications.

In this research, we presented a simple approach to approximate the second type of linear weakly singular and non-singular Fredholm integral. Shifted Legendre polynomials of the first kind in matrix-vector forms were used to construct the approach. The singularity of the kernel was removed analytically. Theorems regarding the convergence of the estimations of the error norm and the mean were proved. The numerical examples demonstrated the method's uniqueness and precision.

Pulsatile flow occurs in medical devices, impacting heat transfer and fluid behavior. It has practical significance in several disciplines, including thermodynamic devices. Pulses in flow and pressure influence pipe systems, reciprocating pumps, and compressors. Motivated by this, we simulated corrugated microchannel with Jeffery fluid flow enhanced by tri-nanoparticles to investigate this type of flow in detail. The model assumed that, in addition to external temperature influences, conduit walls experience electric and magnetic fields, governed by momentum and heat equations, along with electric potential and pulsing pressure equations. Using the perturbation method and Mathematica software, we derived semi-analytical solutions for the governing partial differential equations in their complex form. nanoparticle-enhanced blood exhibits improved thermal performance compared to pure fluid, with the type and concentration of nanoparticles (Fe3O4, Au, SWCNTs) significantly impacting heat dissipation and temperature distribution within the microfluidic conduit. Higher nanoparticle concentrations increase liquid viscosity, reducing velocity inside the conduit; however, a magnetic field can reverse this effect. This study underscores the application of pulsatile flow in heart pumps, where optimizing thermal characteristics can enhance device efficiency and patient outcomes.

Our world transforms rapidly. Technological progress, climate change, besides political, economic, and social factors play a main role in this change. As a result, human demands differ accordingly, and it becomes necessary for both the designer and industrial design students to study and investigate the ontology of design concepts and find the reasons for product evolution over the ages. Having such knowledge helps to find advanced techniques to design new innovative products with sustainable development. In this research, product design concepts and phases are discussed in detail. Moreover, different types of design, including industrial design, interactive design, and future design etc. are clarified. The research follows the deductive method to reach the desired results by placing a sequential classification of product design concept development, in addition to establishing an organized methodology with a set of criteria and determinants to study product evolution and pave the way for designers and design researchers to design future products that promote sustainability.

This study focuses on examining the entropy generation in a corrugated channel, considering convective boundary conditions and slip flow, with a micropolar fluid. The governing equations for the micropolar fluid flow, including linear and angular momentum equations, as well as the energy equation, are solved using the perturbation technique. The effects of corrugations, slipping flow, and convective boundary conditions on the entropy generation and the flow behavior are analyzed. The results show that the entropy generation enhanced with the corrugation amplitude, while it reduced for the slip flow. Moreover, entropy generation is affected by the convective boundary conditions, and it is an increasing function with the convective heat transfer coefficient. Additionally, the study demonstrates that micropolar fluid exhibits distinct flow characteristics in comparison to classical Newtonian fluids. These findings have practical implications for the design and optimization of microfluidic devices, as well as for gaining insights into the behavior of micropolar fluids in various engineering applications.

This study presents approximate analytical solutions for the velocity and volume flow rate of an electrically conducting, incompressible, and viscous Jeffrey fluid flowing through an asymmetric corrugated channel between two slit microparallel plates under electromagnetohydrodynamic conditions. The study uses the perturbation method to describe the periodic sinusoidal waves with small amplitude that characterize the corrugations of the two walls, which can be either in phase or half-period out of phase. The study also examines how the corrugations affect the velocity of the EMHD flow by performing numerical computations. The results show the dependence of the velocity profiles and mean velocity parameter on various factors, including Reynolds number (𝑅𝑒) , Hartmann number (𝐻𝑎) , Porous Medium (𝐷𝑎) , dimensionless wave number (𝜆) of the wall perturbation, and the dimensionless relaxation time (𝜆 1 ) and retardation time (𝜆 2 ) . The findings of this study have important implications for understanding the behavior of non-Newtonian fluids within asymmetric corrugated channels under electromagnetohydrodynamic conditions.

Lead phosphate glasses within system [40PbO-50P2O5-(10-x) WO3- xTm2O3] doped with different concentration of xTm2O3 ions are equipped and used the rapid cooling mechanism. Produced sets are noticed to soak up highly in the UV domain and ascribed to the concerted aided impurities of iron and participation of lead Pb2+ ions. Subsisting of WO3 exposed clear absorption patterns which are ascribed to appear of W5+ pentavalent ions. Physical parameters such as density (rho), molar volumes (Vm), refractive index (n), an optical energy gap (Eg) and Urbach energy (Delta E) values of prepared glasses were evaluated. In addition to, the Judd-Ofelt coefficients of the transformation form of oscillator probabilities, fexp., fth, branching ratio, beta and radiative lifespans, tau, of many excited sites of Tm3+ have also been computed. Gain cross-section laser transformation stage from 3H6 -> 3F3, 3H6 -> 3H4, 3H6 -> 3H5 and 3H6 -> 3F4 and induced emission cross-section determined at specific concentrate of Tm2O3 ions across all current glasses. Thus, their spectroscopic characteristics suggest that such Tm3+ doped glasses are an excellent choice for optical purposes.

Single-walled carbon nanotubes (SWCNTs) are an advanced product of nanotechnology with notable mechanical and physical properties. This motivated us to investigate the effect of electromagnetic hydrodynamic (EMHD) flow on SWCNTs suspended in a microchannel with corrugated walls. The corrugation of the wavy walls is described by periodic sinusoidal waves of small amplitudes ε, either in phase or out of phase. The problem simulated with a system of governing equations, such as potential, momentum, and heat equations, which were solved analytically using the perturbation method. The behavior of nanofluid velocity, temperature, volumetric flow rate, and average velocity was investigated using three models of thermal characteristics. The results confirm that, the addition of SWCNTs, reduces the fluid velocity at the center of the channel by providing resistance to the fluid motion. The concentration ϕ of SWCNTs influence enhances the rate of heat transfer. Additionally, Xue's model has the highest heat transfer rate compared to Maxwell and Hamilton Crosser's (H-C) models. Finally, the obtained flow rate results were compared with previously published data and found to be in good agreement.

algorithm is pretty much identical, also the tram headway, cycle lengths, and green time for each phase of the signalized intersection along the tram line will

Objective To evaluate efficacy and safety of either or both silodosin and mirabegron as MET for distal ureteric stones ≤ 10 mm. Patients and methods This study enrolled a total of 105 patients, aged between 20 and 56 years, diagnosed by single radiopaque distal ureteral stone measuring ≤ 10 mm. The recruitment period spanned from May 2020 to December 2021. The patients were randomly divided into three groups, with each group consisting of 35 participants. Group A received a once-daily dose of 8 mg of silodosin, group B received a once-daily dose of 50 mg of mirabegron, and group C received a combination of both medications. Treatment was administered to all patients until the stone was expelled or for a maximum duration of four weeks. The stone-free rate was determined by analyzing KUB films with or without ultrasonography. Results The rate of stone expulsion was significantly higher in group C compared to groups A and B (P = 0.04 and P = 0.004, respectively). The mean (standard deviation) time for stone expulsion in groups A, B, and C was 14 ± 2.3 days, 11 ± 3.1 days, and 7 ± 2.2 days, respectively. Group C demonstrated a significantly shorter stone expulsion time compared to groups A and B (P = 0.001 and P = 0.04, respectively). The frequency of renal colic in group C was significantly lower than that in groups A and B, resulting in a reduced requirement for analgesics (P < 0.05). Anejaculation occurred at a significantly higher rate in the silodosin group (73.9%) and combination group (84%) compared to the mirabegron group (P < 0.05). Conclusions The findings of this study suggest that both silodosin and mirabegron are effective treatments for the expulsion of lower ureteric stones. Furthermore, the combination of these medications leads to an increased rate of stone expulsion and a reduced duration of expulsion.

Précis: This study of inter-test comparability of a novel visual field application installed on an augmented-reality portable headset and Humphrey field analyzer Swedish interactive thresholding algorithm (SITA) Standard visual field test demonstrates the excellent correlation of mean deviation (MD) and mean sensitivity (MS). Purpose: To determine the correlation between visual field testing with novel software on a wearable headset versus standard automated perimetry. Patients and Methods: Patients with and without visual field defects attributable to glaucoma had visual field testing in one eye of each patient with 2 methods: re:Imagine Strategy (Heru, Inc.) and the Humphrey field analyzer (Carl Zeiss Meditec, Inc.) SITA Standard 24-2 program. Main outcome measures included MS and MD, which were evaluated by linear regression, intraclass correlation coefficient (ICC), and Bland Altman analysis for assessment of the mean difference and limits of agreement. Results: Measurements from 89 eyes of 89 patients (18 normal and 71 glaucomas) were compared with both instruments. Linear regression analysis demonstrated an excellent Pearson correlation coefficient of r = 0.94 for MS and r = 0.95 for MD. ICC analysis demonstrated high levels of concordance (ICC = 0.95, P < 0.001 for MS and ICC = 0.94, P < 0.001 for MD). Bland-Altman analysis determined a small mean difference between the two devices (Heru minus Humphrey) of 1.15 dB for MS and 1.06 dB for MD. Conclusions: The Heru visual field test correlated well with SITA Standard in a population of normal eyes and eyes with glaucoma.

This paper presents a design methodology for broadband, high-efficiency power amplifiers, suitable for octave bandwidth. Based on model-based de-embedding of the parasitics associated with packaged GaN-HEMT devices. To construct the input/output matching networks, and depending on the nodal quality factor, the parasitics are fully/partially absorbed in the matching networks, while the excess reactance is resonated out. To verify the proposed approach, a 7-W 3–6 GHz power amplifier is designed and implemented. An average drain efficiency and gain of 50% and 11-dB are achieved, respectively, across the operation bandwidth.

The category of children affected with ADHD has become not small, in local and international level, and rapidly increasing.Behavioral therapy is one of the most important treatment methods that help to rehabilitate behind medical therapy, so it was necessary to appear the role of industrial design and how it can contribute to support This category by designing products with special considerations that support them, reduce disease symptoms and participate in recovery.interaction is one of the most important features to be considered in product design, which is meant by the nature of the mutual dialogue between the product and the Child, and the more this interaction is being interesting and interactive. The more the user is connected and affected with the product, while it is boring, then the user will lose his passion for the product and look for another product. .And since the interactive characteristic in the Industrial design product one of the most important characteristics that affect the child when using the product,Therefore, the research talk about the role of it in designing products specifically for children with ADHD, and how interactive design participates with all its elements in improving the child's condition, enhancing his behavior, and focus his attention for longer periods, and reducing the hyperactivity .This is in order to demonstrate the importance of interactive design in positive participation in designing products for this category to participate in their rehabilitation and to reduce symptoms, risks and negative effects of the disorder on them

Lung cancer is one of the most serious cancers in the world with the minimum survival rate after the diagnosis as it appears in Computed Tomography scans. Lung nodules may be isolated from (solitary) or attached to (juxtapleural) other structures such as blood vessels or the pleura. Diagnosis of lung nodules according to their location increases the survival rate as it achieves diagnostic and therapeutic quality assurance. In this paper, a Computer Aided Diagnosis (CADx) system is proposed to classify solitary nodules and juxtapleural nodules inside the lungs. Two main auto-diagnostic schemes of supervised learning for lung nodules classification are achieved. In the first scheme, (bounding box + Maximum intensity projection) and (Thresholding + K-means clustering) segmentation approaches are proposed then first- and second-order features are extracted. Fisher score ranking is also used in the first scheme as a feature selection method. The higher five, ten, and fifteen ranks of the feature set are selected. In the first scheme, Support Vector Machine (SVM) classifier is used. In the second scheme, the same segmentation approaches are used with Deep Convolutional neural networks (DCNN) which is a successful tool for deep learning classification. Because of the limited data sample and imbalanced data, tenfold cross-validation and random oversampling are used for the two schemes. For diagnosis of the solitary nodule, the first scheme with SVM achieved the highest accuracy and sensitivity 91.4% and 89.3%, respectively, with radial basis function and applying the (Thresholding + Kmeans clustering) segmentation approach and the higher 15 ranks of the feature set. In the second scheme, DCNN achieved the highest accuracy and sensitivity 96% and 95%, respectively, to detect the solitary nodule when applying the bounding box and maximum intensity projection segmentation approach. Receiver operating characteristic curve is used to evaluate the classifier's performance. The max. AUC = 90.3% is achieved with DCNN classifier for detecting solitary nodules. This CAD system acts as a second opinion for the radiologist to help in the early diagnosis of lung cancer. The accuracy, sensitivity, and specificity of scheme I (SVM) and scheme II (DCNN) showed promising results in comparison to other published studies.