Globally, breast cancer, among the prevalent cancers in women, has experienced substantial advances in detection and treatment as a result of data-driven techniques. This review aims to encapsulate the recent progress and emerging trends in the study of breast cancer, particularly emphasizing nonimage sequence data. This study delves into the latest development sin genomic, transcriptomic, and proteomic analyses that have revolutionized our understanding of breast cancer’s molecular landscape. The review highlights how these data types are instrumental in identifying novel biomarkers, understanding tumor heterogeneity, and predicting therapeutic responses. Additionally, this study explores the integration of machine learning and artificial intelligence in analyzing sequence data, which has paved the way for personalized medicine and improved predictive models. By synthesizing findings from recent studies and clinical trials, this review presents a comprehensive overview of how non-image sequence data shapes the future of breast cancer research and therapy, offering insights into potential pathways for innovation and improved patient outcomes. Keywords: Breast Cancer, Artificial Intelligence in HealthCare, Sequence Data.

A potential values of gas turbine (GT) intake air temperature decrease due to its cooling by exhaust gas heat recovery chillers and corresponding specific fuel savings have been estimated for climatic conditions of Libya. Absorption lithium-bromide chiller (ABC) and refrigerant ejector chiller (REC) providing the GT intake air temperature decrease down to 15°С and 10°С respectively are discussed. The Calculate of refrigeration capacity of waste heat recovery chillers to provide the maximum it was shown that gas turbine intake air cooling down to the temperatures of 10°С and 7°С by absorption aqua-ammonia and refrigerant ejector chillers provides annular fuel saving and the cost fuel saving (1.5 - 2.0) times larger as compared with absorption lithium--bromide chiller providing a gas turbine intake air temperature decrease down to 15°С. The higher efficiency of gas turbine intake air deep cooling down to the temperatures of 10°С and 7°С by absorption aqua-ammonia and refrigerant ejector chillers has been proved as a result. The annular fuel saving due to air cooling at the inlet of gas turbine generators by thermo transformers of different types has been evaluated for city (Tripoli) of Libya.

Key words: gas turbine generator, fuel saving, refrigeration capacity, absorption lithium-bromide chiller, refrigerant ejector chiller, absorption aqua-ammonia chiller, climatic conditions, using the corresponding power sales as weights, intake air cooling, exhaust gas waste heat recovery. 

The quest for reliable water access has been a critical endeavor throughout history, and Rujban City is no exception. Faced with the challenges of aging infrastructure and reliance on external water sources, Rujban is turning towards technological innovation for solutions. This paper outlines the design of the communication component within the Idref Automated Control System 2 (IACS II), a significant advancement in the automation of Rujban's water distribution system. This system innovatively connects the city's central distributed tank to three distributed tanks via a robust wireless communication network, while maintaining a wired connection to the Idref collection tank, the main control station, and associated monitoring rooms and pumps. The system employs microcontroller-based automation to manage water levels, control signals, and monitor pump activity and potential leaks, with data displayed on an LCD screen. This approach is poised to dramatically improve the efficiency and reliability of water distribution in Rujban City, marking a key step forward in addressing its water supply challenges.

Key Words: Wireless Network, Transmitter, Receiver, Control System, Water Pumping, Water Distribution, Smart Irrigation System.

In this paper we consider the matter of combining two different mathematical system (algebraic system ) into a single system Known as a Vector Space .

Then we give some definitions and examples to illustrate the main results.

Keywords: Vector Space V(F) –The Field(F) – Subspaces W - linear dependent(LD)-Linear independent (LI).

The non-standalone architecture (NSA) of 5G networks builds upon existing 4G long-term evolution (LTE) infrastructure, integrating 5G new radio (NR) technology while still relying on the 4G core network. In contrast the standalone architecture (SA) of 5G networks is designed as a fully independent system, with its own 5G core network. It does not rely on the existing 4G LTE infrastructure. The NSA integrates 5G NR technology into existing 4G LTE networks, utilizing the 4G core network for control and signaling. On the other hand, the SA establishes a fully independent 5G network with its own core components, providing more advanced features and greater autonomy. The transition from NSA to SA architecture is expected as network operators deploy more comprehensive 5G networks. This paper investigated in details the major different between both architectures NSA and SA of 5G networks.

Keywords—5G, RAN, NR, 5GC, mMTC, Latency, Massive IoT.

They are Fishermen alarm for citizens that the fish of sardines It's not eggs but a parasitic disease that travels to human. In state of eating sardine infected fish . It is caused by seawater pollution Corpses Immigration illegal Legitimacy And it must Citizens Attention , And with technology evolves was used image processing on wide Domain In the field of detection About infected diseases For human , plant and animal With the assistance of experts It was completed to provide The right treatment for those diseases. And in this system Diseases Discovery Infected with fish (sardine). The system consists of three steps: the first step is Pre-processing (gray level, threshold) Second Step Features Extraction Fish Disease Gray-level cooccurrence matrices and third step is the determination of the ratio Fish disease using percentage.

Keywords : pre-processing, Features Extraction using GLCM, Classification using percentage , fish diseases (sardines)

In this study, two vertical onshore wells in the Sabah Oil Field in the Sirte Basin of north Libya are presented with the results of log analysis. The target of this work is to comprehend the structural layout, the overall stratigraphy of the research region, and to look into the petrophysical properties of the Sabah Reservoir of Oil Field. Using the cut-off technique for net reservoir and net pay zones for each well, locate the Beda reservoir zones, obtain the net pay thickness, and use it to calculate the average porosity and Sw. This study relies on the qualitative way to identify the wettability situation in the Beda reservoir using curve shape and particle behavior in fluids by drawing the relationship between the relative permeability and water saturation (Sw) for each zone in the reservoir for two wells which can derive the value of the cross point and the value of relative water permeability at maximum water saturation and correspond the results with Craig's rules to build up model of two cases either water or oil wet .

KEY WORDS: connate water saturation , relative permeability, capillary pressure, and wettability

This research focuses on leveraging advanced deep learning techniques for feature detection in MRI images, utilizing the comprehensive Brain Tumor Segmentation (BraTS) 2018 dataset, which contains 3,588 MRI images. The study prominently features the application of the You Only Look Once version 8 (YOLOv8) algorithm, chosen for its exceptional real-time processing and accuracy in complex image analysis. This methodology involved a detailed data collection and precise annotation process, employing Robo Flow for efficient data labeling. The training of this model was meticulously conducted to balance optimal learning with the prevention of overfitting. Remarkably, this model achieved a mean Average Precision (mAP) of 97.9%, demonstrating high accuracy and reliability in feature detection within MRI images. This paper highlights the efficacy of YOLOv8 in medical imaging and contributes to the evolving field of artificial intelligence in healthcare diagnostics.

Keywords: Artificial Intelligence, Deep Learning, YOLOv8, Brain Tumor, Healthcare

This paper explores the utilization of ANSYS software to replace traditional stainless-steel in Liquid Natural Gas (LNG) cylinders with a lightweight composite material called E Glass Epoxy. The goal is to reduce the cylinder's weight through finite element analysis using ANSYS, adhering to Libyan market standards. Stresses under internal pressure are analyzed and compared with analytical solutions for steel cylinders. The study highlights weight reductions for steel and composite LNG cylinders, emphasizing the practicality, utility, and safety considerations in addressing the challenges faced by the Indian Gas supply system, especially for housewives dealing with heavy stainless steel cylinders. This project aims to provide a user-friendly alternative, maintaining gas storage efficiency while significantly reducing cylinder weight. The results also showed that the use of E Glass Epoxy is highly effective in relieving the pressures resulting from the gas on the cylinder walls, despite the slight increase in wall thickness, and is better than steel at high pressure, taking into account that the weather in Libya is hot in the summer, with temperatures reaching 45C, 0 at pressure 1 a Safety factor of Steel gas cylinder is 1.9039 and Safety factor of E-glass gas cylinder is 2.94671and at pressure 2.5 Safety factor of Steel gas cylinder is 0.76 and Safety factor of E-glass gas cylinder is 1.17.

Keywords: Liquid Natural Gas: (LNG), Finite Element Method, Composite Materials, ANSYS Software, Steel Cylinder

The objective of this paper is to obtain an upper bound of second Hankel determinant for a class of functions

Keywords: differential operator, Second Hankel determinant, Starlike functions, Subordination property.

An autonomous vehicle (AV), also known as a self-driving car, is a vehicle that can sense its surrounding environment and navigate safely with little or no human input. The Society of Automotive Engineers (SAE) Level 5 AV can completely control the vehicle to improve road safety and reduce traffic congestion without operations from humans (SAE, 2014). For AVs to perform their tasks autonomously, they need to be able to perceive their position, and the environment and predict the possible movements/routes of environmental factors (Panda, S.S., 2021). In this paper, authors investigate novel approaches in the AV perception area, comparing results and techniques presented in State-of-the-Art literature. The collected research published between 2020 and 2024 introduces different approaches to enhance the accuracy performance of perception. This study helps to enhance the current understanding by highlighting major proposed research of the selected area. A comparison between sensor fusion algorithms, their advantages, disadvantages, applications, and fusion level was critiqued. A comparison of the algorithm's accuracy performance was discussed.

Keywords: Autonomous Vehicles, Sensor Fusion, Algorithms

Cynomorium coccineum L. locally known “tarthuth” belongs to the family Cynomoriaceae, and is distributed mainly in the Mediterranean region, it is used to treat dysentery and haemorrhoids, for nasal and uterine bleeding, as a tonic, laxative and astringent. In this study phytochemical screening carried out using methanolic extract, and, antifungal and antibacterial activities of C. coccineum stem were tested against fungi (Candida albicans, Cryptococcus neoformens, Aspergillus niger and Aspergillus flavus) and bacteria (Escherichia coli, Klebsiella pneumonia, Pseudomonas aeruginosa and Staphylococcus aureus) by the agar well diffusion method and minimum inhibitory concentration (MIC). The result revealed the presence of valuable phytochemicals including flavonoids, terpenoids, saponins, tannins, cardiac glycosides and phenols. The methanolic extract showed inhibitory activity against fungi C. albicans, and C. neoformens. The zones of inhibition for these two species were between (10.6±1.2 mm and 17±0.8 mm) for all concentrations of the extract, with lowest MICs of 125 mg/ml and 250 mg/ml respectively. The methanolic extract showed inhibitory of growth against bacteria S. aureus and P. aeruginosa. The zones of inhibition ranged from (12 ± 0.8 mm to 25.3 ± 0 . 4 퐦 퐦 ) for all concentrations of the extract, with lowest MICs of 125 mg/ml and 62.5 mg/ml respectively. The fungi A. niger, A. flavus and the bacteria E. coli, K. pneumonia were resistant to all concentrations. The result of this study showed that the plant's stem contained phytochemical constituents, and further supports its potential use as an antimicrobial agent.

Keywords: Cynomorium coccineum L., Antifungal, Antibacterial, Libya

In this paper, we aim to solve the Sine-Gordon equation by employing a modified version of the Tamimi-Ansari method. This particular method relies on the utilization of Taylor series and Chebyshev approximation polynomials. Additionally, we will examine the convergence of these cases by employing various theories, including the Banach fixed point theorem. To conduct the necessary calculations for this research, we will utilize Mathematica 13.2 software.

Keywords: Sine- Gordon equation-modified Tamimi- Ansari method- Taylor series- Chebychev approximation polynomials.

As more and more people turn to the cloud for their personal and professional purposes, cloud computing has become essential for the majority of users. Given the increased demand for cloud virtualization, the datacenter needs to be able to accommodate more virtual machines (VMs) that are housed on its servers. A datacenter employing old technology may accommodate up to 4096 VLANs, which would restrict the number of tenants it could serve. Spanning-Tree Protocol (SPT) is used by VLANs to remove loops, or duplicates, which block half of the routes and waste available bandwidth. The Virtual Extensible LAN (VXLAN), an emerging technology, must be used from there. It permits network seg- mentation similar to that of regular VLANs without obstructing traffic or reducing scalability. This study outlined both established and novel approaches and then clarified how to use them for data center topology. It also covered the drawbacks of utilizing conventional technologies. The benefits of cutting-edge technology and its superior influence on data center bandwidth utilization. To demonstrate how the new technology enhances data center performance, these technologies were lastly replicated using the Eve emulator.

Keywords: Cloud virtualization, Virtual machines, Professional purposes, Cloud computing, Eve emulator, LAN, VXLAN, SPT.

 This research aimed to develop sustainable, low-cost adsorbent materials with controlled porosity and microstructure using geopolymers prepared from natural clay Kaolin (K) and metakaolin (MK) for an advanced treatment of produced water generated during the exploration and production of oil and gas. The prepared materials were processed as ceramic composites with nanomaterial properties using repolymerization reaction. A range of compositions were processed under different conditions using different alkali activators, such as potassium hydroxide (KH) or potassium silicate (PS). The adsorbent materials were characterized in terms of their adsorption performance, microstructure. The adsorbent material performance was evaluated for its ability to remove dissolved impurities such as heavy metals (Lead, Zinc, and Chromium) and petroleum hydrocarbons from produced water. This study confirmed that MK is excellent adsorbent for the development of geopolymer composite membranes for treating wastewater., and provides a framework for future studies on the development of novel geopolymer composites as membranes for treatment of produced water and for residual waste encapsulation of contaminants released during oil and gas production process, and offering a sustainable, cost-effective approach that brings environmental and economic benefits in oil and gas industry.

Keywords: Geopolymer, metakaolin, adsorbent material, microstructure, heavy metals, Petroleum hydrocarbons, produced water treatment.

The aim of this study was to compare the effects of different pulses and fluences of CO2, Er: YAG, and Diode 808-nm lasers treatments on rat skin in vivo. Skin strength measurements were carried out, and skin tissue samples were taken for histological study. The CO2 laser effects resulted more laser pulses produced more ablative removal of the epidermal layer. Deep dermal collagen coagulation with low CO2 and Er:YAG laser fluences was increased. The histological results indicated that the low fluence of Er:YAG laser with different pulses targeted not only the epidermis layer, but could also create heat deposition in the upper dermis layer. While the diode 808-nm laser demonstrated that, no observed damage to skin layers but most of hair follicle destroyed with the low-level 808-nm laser. Our results demonstrated that the CO2 laser was more effective than Er:YAG laser in ablative treatments and LLT diode laser more effective in hair removal, but our results needed to be confirmed in human. It appeared that strength of treated skin with CO2, and Er:YAG lasers were increased with laser pulses which caused by the photothermal effect

Keywords: ablation, collagen, hair follicle, thermal damage, tensile test.

This paper investigates the effects of applying fuzzy techniques to artificial neural networks (ANN) for the classification of biological data. A fuzzy neural networks (FNNs) model was proposed and evaluated as a system for image classification. This system involved the process of collecting dataset, image processing and image classification. Patch-based technique is used to present images to the neural network. Feed-Forward Backpropagation neural networks are used to build the system. Fuzzy Min-Max Neural Networks (FMNN) approach was used to synthesize Fuzzification and neural networks to generate fuzzy neural networks that can handle imprecision and uncertainty. The approach is evaluated using images from the data portal (Papers with Code) website. Experimental results have shown an improvement in the performance of fuzzy neural networks compared with neural networks.

For a long time, mathematicians have been working on a variety of methods to compute the sum of powers of natural numbers. The relationship between the sum of the kth powers and the sum of the powers (k–1)th of the natural numbers will be illustrated in this paper utilizing the differential operator and the associated recurrence relation. Our aim in this research is to find a formula for computing the sum of natural numbers using a combination of geometric series, derivatives, and limits. The findings will be compared with Bernoulli approach. This method distinguishes out because to its uncomplicated computations and clear concepts.

Ca²⁺, Mg²⁺ and Na⁺ concentrations in plant tissue water were depended on genotype, droughtiness and K fertilizer. However, the reciprocal or antagonistic influence between K and cations rely on the quantity available for each element in soil and plant species (Marschner, 1971). All cations increased with plant age and declined by the end of the experiment when barley had started to produce reproductive structures by the end of the experiment.                                                                                                                       

All experiment parameters had significant effect on cations concentration. However, genotypes differed significantly amongst themselves to response on cations concentrations (Ca²⁺, Mg²⁺ and Na⁺) were not due to K supply and / or droughtiness because their interactions with genotype were not significant.