Laparoscopy is the technique of using the "pneumoperitoneum" process to 

extend and examine the abdominal cavity using CO2. Laparoscopic and other 

procedures produce pain, which varies in intensity, duration, and type. 

Crystalloid fluid types, for instance, Normal saline (NS) and Ringer's lactate 

(RL) solution, aid in reducing laparoscopic pain. Therefore, the research 

explores intraperitoneal crystalloid solutions in reducing post-laparoscopic 

surgery shoulder pain. The research adopted a prospective, single-blind study 

based on a single-center, randomized, and parallel research design. A total of 

80 diagnosed patients (40 subjects in each arm) with laparoscopic surgery 

were randomly recruited at Zintan Medical Center, Alzintan, Libya. Patients 

were equally divided into Group A (crystalloid solutions) and Group B (routine 

measures) and were assessed through self-administered pain scores. 

Through the numeric rating scale (NRS), the research findings revealed 

significant pain intensity differences between Groups A and B at 6, 12, 24, 

48, and 72 hours. In contrast, no significant difference in pain was observed 

between groups A and B on the fourth and fifth days. Additionally, lower pain 

intensity was observed in group A than in group B; at 6 hours, the mean pain 

score for group A and B measured 2.55 and 6.40 at 6 hours, respectively. The 

intraperitoneal crystalloid solutions infusion aids in reducing pain severity 

among laparoscopic surgery patients. Future research should address 

extended follow-up periods to determine the effects of NS and RL 

interventions. Moreover, stakeholders should implement Ringer's lactate 

solution (RL) to reduce post-laparoscopic complications

This study evaluates a sustainable preplaced aggregate (two-stage) fiber-reinforced concrete (PAFRC) that incorporates Portland limestone cement (PLC) and high dosages of polypropylene (PP) and alkali-resistant glass (GF) fibers. Aggregates and fibers were preplaced in the formwork and subsequently injected with a flowable grout; mechanical performance was assessed at 28 days. The results indicate that 4% PP increased compressive strength, splitting-tensile strength, and elastic modulus by 15.2%, 15.9%, and 18.6%, respectively, whereas 1% and 2% GF improved flexural strength by 10.2% and 10.4%, respectively. The 2% PP mixture exhibited the highest compressive strength (20.3 MPa), and the 4% PP mix attained the greatest splitting-tensile strength (3.6 MPa). Peak flexural performance (4.9 MPa) was observed for both the 6% PP and 2% GF mixes. Incorporating PLC in the PAFRC system reduces clinker demand and embodied CO2, and the preplaced method enables higher fiber contents without severe segregation. These results demonstrate a practical pathway to enhance both the mechanical performance and sustainability of concrete for repair and structural applications.

Abstract

This work presents advanced methodologies for the improvement of the Jacobi method by incorporating Gauss-Seidel iterative schemes [1][2]. The Jacobi method, though simple to use [3][4], usually suffers from slow convergence, especially for large-scale linear systems [5]. In this regard, a hybrid scheme is presented that utilizes the strengths of both the Jacobi and Gauss-Seidel methods [6][7]. The important techniques that form the basis of this study include successive over-relaxation (SOR) to accelerate the convergence [2][8], adaptive step-sizing based on residual monitoring [9][10], and preconditioning techniques that enhance the numerical properties of the linear systems [11][12]. Furthermore, the effect of reordering equations for improved convergence rates is also considered [11]. Numerical experiments performed in the context of this study show that these enhancements significantly reduce the number of iterations required for acceptable solutions, thus enhancing computational efficiency [2][13]. In this context, the proposed hybrid scheme outperforms the traditional Jacobi and Gauss-Seidel methods for several scenarios and provides a robust solution for practitioners working in applied mathematics and engineering disciplines [2]. Keywords: Jacobi Method, Gauss-Seidel Method, Iterative Methods, Linear Systems, Convergence Analysis, Successive Over, Relaxation (SOR), Preconditioning.

Background: Oral candidiasis is a common opportunistic infection, but its epidemiology varies significantly by

region. Recent data on the prevalence, causative species, and risk factors for oral fungal infections in Libya,

particularly in the Gharyan area, is scarce. Objective: This study aimed to determine the incidence, distribution

of Candida species, and associated demographic and health-related risk factors for oral candidiasis in Gharyan,

Libya. Methods: A cross-sectional study was conducted from February to April 2025 with 140 participants. Oral

swabs were collected following a clinical examination and structured interview. Samples were cultured on

Sabouraud Dextrose Agar, and Candida species were identified using chromogenic agar. Statistical analysis was

performed using SPSS version 27, employing Chi-square tests and ANOVA. Results: The incidence of oral

candidiasis was 47.9% (67/140). Candida albicans was the predominant species (85.1%), followed by C.

glabrata (6.0%), C. krusei (3.0%), C. parapsilosis (3.0%), and C. tropicalis (3.0%). Among the analyzed risk

factors (age, gender, diabetes, hypertension, smoking, dental prostheses, oral hygiene, and pregnancy), only

pregnancy showed a statistically significant association with infection (χ² = 4.486, *p* = 0.034). All pregnant

women in the sample were in the infected group. Conclusion: The study reveals a high incidence of oral

candidiasis in Gharyan, predominantly caused by C. albicans. Pregnancy was identified as a significant risk factor,

underscoring the need for targeted oral healthcare and screening for pregnant women. The lack of association with

other classic risk factors warrants further investigation with larger samples

In recent years, researchers have been investigating different alloying elements to improve the corrosion resistance of magnesium alloys. One such element is Yttrium (Y), which has shown promising results in enhancing the corrosion resistance of magnesium alloys, such as EZ33. The susceptibility of magnesium alloys to corrosion is a major challenge, as corrosion can lead to structural degradation and compromise the integrity of the material, especially in harsh environments. The influence of a single yttrium (Y) addition on the corrosion resistance of the EZ33 Mg alloy was examined in this work. The corrosion resistance was measured using the loss weight method, and the specimens' surfaces were examined using an optical microscope and a scanning electron microscope. The results showed that the corrosion rate decreased with the addition of Y, and microstructure examination illustrated that the corrosion product film formed at the alloy treated with Y was more stable than those formed at the microstructure of the base alloy. Moreover, the corrosion attacked the area where the intermetallic phases formed, which was shown via optical microscope images. Y can be an effective alloying element to enhance the durability of Mg alloys in structural or biomedical applications.