Nile Journal for Sciences and Engineering (NJSE)

The Use of Data Mining in Predicting Breast Cancer A Case Study at Al-Durra Hospital – Khartoum

2026-06-11T22:29:29+00:00

The research presents an applied study on data mining and discovering knowledge from big data, which knowledge is often hidden in the midst of a huge amount of data.disease and provide results that contribute to reducing the spread of breast cancer in the coming years and the use of modern data mining techniques that facilitate data analysis, the study is interested in using techniques that extract and discover useful and independent knowledge through a large group of data, where we find that the emergence of new technologies. This led to drawing attention to the use of techniques in data mining in discovering solutions to some diseases, especially cancer diseases. First, I have to prepare the data obtained from the interview with the computer center of Al-Thaz Hospital Then, the application of data techniques that were selected in a specific sequence by reference to a group of reasons that can be summarized in two axes: the appropriateness of the method to the nature of the data and its compatibility with the research objectives in addition to the efficiency of pattern discovery, which led to the use of classification algorithms, namely TreeNaïve Bayes, neural networks, Decision and The aggregation algorithm, which is K-means, to achieve the objectives of the research when the data were selected, where we find that the most vulnerable age groups are among the 37-46 and most of them are women. The number of injuries was studied and distributed to the different states of Sudan. We find that the most affected states are the state of Khartoum, according to the type, where Females are the most infected with the disease, with 6942 infections, and men with the least, with 557 infections, and the years are more prevalent for the disease, as the year 2021 is the most prevalent, with 3736 infections, and the least year is 2012, with 138 infections.

Using (Rapid Miner) in Breast Cancer Data Analysis in Sudan: A Case Study of Al-Dora Hospital – Khartoum (2010-2021)

2026-06-11T22:29:29+00:00

The research aims to use statistical methods in (Rapid Miner) programs to extract statistical results and determine the incidence of the disease and the age groups most vulnerable to this disease through the process of excavating patient data and knowing the most affected ages for early preventive examinations of the disease. Careful analysis of a large amount of data available for a number of years and the use of statistical methods that help in making decisions that help in knowing the rates of disease prevalence in the future and providing the necessary data that helps guides and advice on the best ways to avoid the spread of breast cancer. The research follows the analytical and experimental descriptive approach, where data and information related to monitoring records are collected, prepared, classified and tabulated, and then displayed and analyzed, and the results were reached through the use of statistical methods in the (Rapid Miner) program. The Blue Nile State has the least infection with 45 infections, and the tribes with the most prevalence of the disease have 1025 infections, and the least is the Barqawi tribe with 1 infection.

Frequency Analysis of Annual one Day Maximum Rainfall at Kassala State, Sudan

2026-06-11T22:29:29+00:00

Rainfall is the main driving force in the hydrology of arid and semi-arid regions. The hydrological data in arid and semiarid regions is lack due to the absent of field measurement and scarcity of data. The hydraulic design and management of water systems are not based on the long-term average of rainfall records but on particular rainfall depths that can be expected for a specific probability or return period. These rainfall depths can only be obtained by a thorough analysis of long time series of historic rainfall data. The most common approach for determining design storm events is frequency analysis. The aim of this paper is to conduct frequency analysis of annual daily maximum rainfall data for five stations in Kassala State using Hyfran-Plus software. Frequency rainfall analysis showed that the Log person type 3, Person type 3, Three-Parameter Log Normal, Three-Parameter Log Normal and Normal distributions provided the best-fit probability distribution at Aroma, Kassala, Mekali, Goz Rigab and Halfa EL Gadeeda rainfall gauging stations respectively. The analysis has shown that the maximum daily rainfall record about 118 mm in Aroma station. The maximum daily rainfall with a return period 50 year is about 103 mm in Kassala station.

On the Boundary Value Problems of Hadamard Fractional Differential EquationswithGeneralized Ulam-HyersStability in BanachSpaces

2026-06-11T22:29:29+00:00

Weshow the mild solutions in Banach space for a first order semi-linear integro-differential equation. We discuss a generalized quantum fractional Sturm-Liouville-Langevin difference problem with terminal boundary conditions. We characterize the relevant results rely on Mönch’s fixed point theorem by terms of Kuratowski measure of non-compactness (MNC) and the Banach contraction principle (BCP). We study the existence and the stability of solutions of the boundary value problems of Hadamard-type fractional differential equations of variable order.

LOF-Based Anomaly Detection Approach for Mitigating DOS Attacks

2026-06-11T22:29:29+00:00

This research was conducted using the Kali Linux operating system, which is a specialized platform in cyber security and penetration testing due to its powerful tools for network analysis and vulnerability detection. Open-source tools such as Wireshark and T Shark were employed to capture and analyze network traffic, enabling the researcher to study network data flows in detail and with precision. After data collection, the Local Outlier Factor (LOF) algorithm was implemented using Python and the scikit-learn library- one of the most prominent machine learning libraries for data analysis and anomaly detection. The study also referred to a set of modern academic sources and scientific papers discussing cybersecurity and data analysis, including works that examined the effectiveness of the LOF algorithm in detecting abnormal network activities.

Residual Power Series Method and Adomian Decomposition Method for Solving Partial Differential Equations

2026-06-11T22:29:29+00:00

In This paper we present two methods, the first one is a powerful iterative method called Residual power series method introduced to obtain approximate solutions of nonlinear time-dependent generalized Fitzhugh-Nagumo equation with time-dependent coefficients and Sharma-Tasso-Olver equation subjected to certain initial conditions. In the second method we used Bernstein polynomials to modify the Adomian decomposition method which can be used to solve linear and nonlinear equations. Furthermore, the obtained results demonstrate reliability and activity of the proposed technique. Comparison with Other traditional technique

Connections on the Parallel Vector Fields in Vector Bundles

2026-06-11T22:29:29+00:00

This paper is a survey of the basic theory of connection on bundles. A generalised notion of connection on a ﬁbre bundle over a manifold is presented. These connections are characterised by a smooth distribution on which projects onto a (not necessarily integrable) distribution on M and which, in addition, is ‘parametrised’ in some speciﬁc way by a vector bundle map from a prescribed vector bundle over into . Some basic properties of these generalised connections are investigated. Special attention is paid to the class of linear connections over a vector bundle map

A Comparative Study of Analysis and Design of Flat Slab and Hollow Block Slab and construction cost of RC Buildings

2026-06-11T22:29:29+00:00

Concrete-framed buildings with reinforcement are commonly favored over other building types in Sudan. These buildings often utilize flat and hollow block slabs. When designing these structures, it is necessary to determine the most suitable slab type that can withstand both gravitational and lateral loads while keeping costs to a minimum. However, the selection of slab type is often overlooked by designers, who tend to focus more on other structural elements like beams, columns, and walls. As a result, the structural contribution of floors in building design is often not adequately assessed. It is crucial to thoroughly examine this aspect from the very beginning of the design process. This study aims to evaluate the effects of two types of slabs on multi-story reinforced concrete buildings, exploring their structural behaviors in an effort to reduce overall costs. A total of 18 structural models were created, analyzed, and designed according to the BS 8110 and UBC97 standards. In these analysis, the important factors taken into account were the type of slab system (either flat or hollow block), the number of floors (10, 15, and 20), and the span length (5, 7.5, and 9 meters). The buildings were assumed to be residential buildings located in a seismic zone 2A in Atbara, Sudan. The results showed that buildings with flat slabs generally have longer periods, higher base shear forces, and larger rooftop displacements compared to those with hollow block slabs. The hollow block slab consistently emerged as a cost-effective option, while the flat slab proved to be a less economical choice

Analytical Study for Risk Assessment (Case study: Atbara Flour Mill Factory)

2026-06-11T22:29:29+00:00

Flourmills are one of the workplaces with occupational health hazards due to irregular workplaces and environments where insufficient attention is paid to workers’ safety. In this context, considering the extent of difficulties faced by workers in flourmills, hazards and risks that could affect the health and occupational safety of workers were investigated in Atbara flourmills. After referring to the study and evaluation of the manufacturing section, it is noted that the factory's safety department specializes only in security and fire safety and lacks occupational safety and health. Therefore, workers do not comply with personal safety equipment, especially in the workshop and on the first floor (machinery section), as workers in these two sections are the most exposed to danger. Additionally, there are no warning signs in any of the factory's departments.

Analysis of Challenges and Opportunities for Enhancing the University E-Portal to Improve the Quality of Learning and Scientific Research

2026-06-11T22:29:29+00:00

The university's electronic portal is a fundamental component of the educational and research processes, providing access to academic and administrative information and services. However, this portal faces several technical, administrative, and strategic challenges. This study aimed to explore these challenges from the perspective of academic leadership to enhance the quality of learning and scientific research. The study adopted a descriptive-analytical approach, targeting all academic leaders at the university, with a selected sample of 69 participants. Data were collected using a questionnaire consisting of 40 items distributed across six main domains, ensuring the validity and reliability of the instrument, with a Cronbach’s alpha reliability coefficient of 0.842. Data analysis was conducted using SPSS, revealing that participants demonstrated a high level of agreement on the identified challenges, with an overall mean score of 4.43 and a low standard deviation of 0.44, reflecting broad consensus among respondents. Additionally, the p-values indicated strong statistical significance, emphasizing the importance of the identified challenges. Based on the analysis results, the study proposed a practical model for developing the university's electronic portal, along with a set of recommendations aimed at enhancing the portal's functions to support the quality of learning and scientific research.