This study aimed to determine the extent to which external auditors in Libya are aware of the importance of using artificial intelligence (AI) technologies when conducting audits. To achieve the study's objectives, a descriptive analytical approach was adopted, and a validated questionnaire was designed as the primary tool for collecting primary data. It was distributed to a sample of external auditors in the central region. The study reached several conclusions, the most important of which is that there is a lack of interest in using AI technologies in auditing by external auditors in Libya. Furthermore, the high cost of implementing AI technologies in auditing requires significant investments that audit firms do not possess. The study also recommended the need to raise awareness among external auditors about the importance of using AI technologies in auditing and the need for them to benefit from the experiences of other countries in this field. Keywords: External Auditors, Artificial Intelligence Technologies, Audit Processes.

By facilitating early detection, individualized therapy, and better patient outcomes, AI-driven predictive modeling holds the potential to completely transform the management of chronic diseases. Artificial intelligence (AI) algorithms are able to recognize complex patterns and forecast an individual's future health by evaluating massive datasets from several sources, such as wearable technology, electronic health records, and demographic data.aAI-powered predictive modeling represents a breakthrough in chronic disease management by enabling early detection, personalized treatment, and improved health outcomes for patients. Algorithms rely on analyzing massive datasets from multiple sources, with edge computing, data can be analyzed locally, reducing response time and accelerating decision-making quick decision-making, Therefore, the purpose of this study is to clarify the gaps resulting from the traditional management of chronic diseases by exploring the various roles of predictive modeling based on artificial intelligence. This will be done by enumerating some of these gaps and highlighting the reasons why AI-based methods may be useful in addressing them, particularly in providing more details regarding the latest developments aimed at enhancing long-term health outcomes for patients. To achieve this, a descriptive analytical approach was adopted to study and analyze the current technologies used, along with conducting an in-depth analysis of the impacts these technologies may have on health outcomes. Keywords: AI-driven healthcare, predictive analytics, chronic disease management, personalized treatment, data privacy.

This research was carried out in the Shahat Forest to evaluate the ability of P. minor to absorb heavy metals in its tissues. The study involved analyzing the concentrations of heavy metals, (Zn), (Fe), (Cd) and (Pb), in both the aerial and root parts of P. minor, as well as in the soil at a depth of 0-40 cm beneath the grasses. Importantly, the concentrations of these heavy metals were found to be within the acceptable limits set by the (WHO). The results noted that P. minor evidenced a significant ability for the uptake and accumulation of heavy metals, with (BAF) for Zn, Fe, Cd, and Pb recorded at (3.4, 1.9, 1.9, and 2), respectively. Additionally, the (BCF) of the roots parts were higher than (BCF) of the aerial parts, and (TF) remained below (1) for all analyzed elements. As a result, P. minor can be considered a potential bioaccumulator with phytostabilization strategy. Statistical analysis indicated significant differences (p<0.05) in heavy metal concentrations among the various parts of the plant. Keywords: Phalaris minor, Heavy Metals, Cumulative, Shahat, forest.

In this research, AZ31 alloys were enhanced with 0.2% and 0.5% La (Lanthanum) using the low-pressure die casting method. These alloys underwent hot rolling at 400°C with speeds of 4.7 and 10 (m/min) meters per minute, Maintaining a deformation rate of 30% with each pass. Post-production, Micro Arc Oxidation (MAO) has been utilized. The durability against wear of the extracted material sheet samples, each having different surface morphologies due to varying La percentages, was investigated under dry conditions following The ASTM G-133 standard method assesses the sliding wear of ball-on-flat surfaces using a linear reciprocating motion. This study conducted a systematic analysis of how the MAO coating and the addition of La influence wear resistance, supported by microstructure analysis. Keywords: AZ31, La, Wear, Hot rolling, MAO.

A field experiment was carried out at Agricultural Research Station, Faculty of Agriculture (Suluq), Benghazy University in 2023/ 2024 winter season to study four nitrogen fertilizer levels (50, 100, 150 and 200 kg/ ha) on growth and yield of three bread wheat varieties, i.e. Alfi, Kasy and Behooth 210. Split-plot design in three replicated was used, where nitrogen levels was randomly distributed on whole plot and varieties were allocated in sub-plot. Increasing nitrogen levels from 50 to 200 kg/ ha significantly and gradually increased all studied traits, except number of sterile plants. Behooth 210 variety had the tallest plants and spikes (111.25 and 14.58 cm), respectively, highest number of grains/ spike (79.50) and heaviest 100-grain weight (5.10 g). However, Alfi variety the highest number of sterile plants (42.41), highest grain yield and harvest index (4.90 ton/ ha and 21.87 %), respectively. Alfi variety fertilized with 200 kg N/ ha produced the highest grain yield (5.70 t/ ha), while Behooth variety fertilized with (200 kg N/ ha) produced the highest number of grains/ spike (84.93), heaviest 100-grain weight (5.87 g) and highest biological yield (26.37 t/ ha). Keywords: Agricultural Research Station, wheat, nitrogen levels, grain yield, harvest index, Alfi, Kasy, Behooth.

The study aims to identify the role of artificial intelligence in improving the decision-making process from the perspective of faculty members at the Faculty of Technical Sciences in Derna. To achieve the study's objectives, a descriptive analytical method was employed, relying on some previous studies. The study population consisted of faculty members at the college, with a sample size of (35) faculty members from various departments within the college. For data analysis, a computer was utilized along with a statistical program from the software services provided in (SPSS), leading to several findings, the most notable of which is that artificial intelligence plays an important and effective role in enhancing the decision-making process within the college. This study aims to explore the role of artificial intelligence in improving strategic decision-making processes in educational institutions. By analyzing performance data and providing recommendations based on artificial intelligence, senior management can make more accurate and effective decisions, such as expanding academic programs or improving operational efficiency. Additionally, the study presented a set of recommendations that are hoped to be followed within the institution. Key words: Artificial Intelligence, Decision-Making Process, The employees, faculty members.

The study aimed to identify the nature of the main risks facing electronic accounting information systems in commercial banks operating within the scope of the Zawiya Municipality. The researcher reviewed previous studies that were interested in the field of study. By conducting an applied survey study using personal interviews and a questionnaire distributed to commercial banks operating within the scope of the Zawiya Municipality, the results of the study showed that the most important risks threatening electronic accounting information systems in most of the banks included in the study are the risks related to data entry, the most important of which is unintentional entry by employees, and the risks related to data operation, the most important of which is sharing a number of employees with the same password, and the lack of sufficient experience and skills required to implement the work, then come the risks of outputs, the most important of which is unauthorized disclosure of data by displaying it on screens or printing it, and also obtaining incorrect outputs as a result of updating the old system and transferring data to the new system. The study also showed that some banks have suffered from significant losses as a result of updating the old systems, and encroachment on their electronic accounting information systems, and therefore the administrations of these banks must support internal control and provide the necessary protection and increase awareness and training for bank employees to reduce the risks related to these systems. Keywords: Commercial banks, Electronic accounting information systems, risks, data entry.

This paper investigates the vibration behavior of a chimney at the Tripoli-West power plant under wind loads. Finite element models of the chimney are developed to analyze the existing chimney structure, and assess the impact of repositioning the supporting rings typically used in such chimneys. Both free vibration modal analysis and forced vibration harmonic analysis are performed using ANSYS software, considering the wind loads in the area. The final recommendations focus on the vibration response and the influence of the supporting rings and their locations along the chimney, aiming to mitigate undesired vibrations and structural fatigue problems. Keywords: Structural vibration, Industrial chimneys, Finite Element Analysis (FEA).

This paper presents a comprehensive numerical analysis and application of extension-bending-shear-torsion coupled vibration in asymmetric laminated composite beams, in which the exact closed-form solutions were previously obtained to investigate the steady-state dynamic response of such beams under various harmonic loading and boundary conditions. Key objectives include predicting natural frequencies and corresponding mode shapes, as well as establishing quasi-static responses for different harmonic excitation frequencies. Numerical examples are used to validate the accuracy and efficiency of the proposed solutions by comparing static and dynamic results with those from existing literature and finite element analysis. The study reveals excellent agreement between the closed-form solutions and previously published results, emphasizing the utility of the developed approach for both static and dynamic coupled vibration analysis in asymmetric laminated beams. The results offer valuable insights into the dynamic behavior of asymmetric composite beams, with potential applications in engineering structures subjected to complex loading conditions. Keywords: Coupled vibration, steady state response, asymmetric laminated beam, harmonic loading.

The rising cost of land across the globe has led to economic problems. One of the challenges brought by the high land price is constructing wastewater treatment systems with a small footprint. This paper compares the design of two domestic wastewater treatment systems, the activated sludge process (ASP) and trickling filter (TF), to determine which design requires the least area of land. The conventional activated sludge process design used the ASP equation, and the TF design used Rankin's method. The results showed that both systems have good removal efficiency. The ASP has a surface area of 3864 m2, and the surface area for the TF is 5000 m2. Therefore, the ASP is the better alternative when constructing a wastewater treatment system on a small land area. Keywords: Activated Sludge, Trickling Filter, Wastewater Treatment Plants, Biological Oxygen Demand.