Iraqi Journal of Science最新文献_第8页

Evolutionary-based Gene Ontology for Complex Detection in Protein-Protein Interaction Networks 基于进化的基因本体，用于蛋白质-蛋白质相互作用网络中的复杂性检测

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.36

Mustafa Abdulhussein Kadhim, R. D. Al-Dabbagh

{"title":"Evolutionary-based Gene Ontology for Complex Detection in Protein-Protein Interaction Networks","authors":"Mustafa Abdulhussein Kadhim, R. D. Al-Dabbagh","doi":"10.24996/ijs.2024.65.2.36","DOIUrl":"https://doi.org/10.24996/ijs.2024.65.2.36","url":null,"abstract":" Complex detection in protein-protein interaction (PPI) networks is one of the major issues facing scientific study in biological networks. In PPINs, proteins are distributed differently as groups (complexes). These groups can be identified as having a great internal density in the number of edges inside the groups while having the least possible number of edges between these groups. The most common methods for finding such complexes are evolutionary algorithms (EAs), which have been used widely in literature for this objective. Despite the reliability of these complicated detection models, they are mostly based on topological (graph) qualities, and the biological implications of the PPI networks have been rarely explored. In this research, EA with mutation-based gene ontology is developed, particularly in the mutation part where the functional annotation of the protein has been considered using gene ontology structure. The experimental results prove the reliability of the proposed method using standard validation measures. It also outperforms the state-of-the-art method in terms of the prediction ability and quality of the complexes found.","PeriodicalId":14698,"journal":{"name":"Iraqi Journal of Science","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140415742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integral of Ordered Banach Algebra Valued Measurable Functions 有序巴拿赫代数有值可量度函数的积分

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.16

Wafa Yahya, N. Al-Mayahi

引用次数: 0

Study of Focused Ions Beam Generated by a Plasma Source through a Series of C- Magnet Configuration 研究等离子源通过一系列 C 型磁铁配置产生的聚焦离子束

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.12

I. H. Hashim, Bushra J. Hussein, Abdel Karim L. Oudah

引用次数: 0

A robust Study of the Treatment Delay Effect on the Dynamics of Epidemic Disease 关于治疗延迟对流行病动态影响的可靠研究

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.29

N. Ali, H. Al-Husseiny

引用次数: 0

Adding Rows in Main e-Abacus Diagrams 在主 e-Abacus 图表中添加行

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.21

Ammar S. Mahmood, Jwan K. Khaleel

引用次数: 0

Task Scheduling in a Cloud Environment Based on Meta-Heuristic Approaches: A Survey 基于元亨利方法的云环境任务调度：调查

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.33

D. R. Abdulrazzaq, N. M. Shati, Haider K. Hoomod

引用次数: 0

Using Sensitivity Analysis in Linear Programming with Practical Physical Applications 在线性规划中使用敏感性分析与实际物理应用

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.27

I. T. Abbas, Manar Naji Ghayyib

{"title":"Using Sensitivity Analysis in Linear Programming with Practical Physical Applications","authors":"I. T. Abbas, Manar Naji Ghayyib","doi":"10.24996/ijs.2024.65.2.27","DOIUrl":"https://doi.org/10.24996/ijs.2024.65.2.27","url":null,"abstract":" Linear programming currently occupies a prominent position in various fields and has wide applications, as its importance lies in being a means of studying the behavior of a large number of systems as well. It is also the simplest and easiest type of model that can be created to address industrial, commercial, military and other dilemmas. Through which to obtain the optimal quantitative value. In this research, we deal with the post optimality solution, or what is known as sensitivity analysis using the principle of shadow prices. The scientific solution to any problem is not a complete solution once the optimal solution is reached. Any change in the values of the model constants or what is known as the inputs of the model will change the problem of linear programming and will affect the optimal solution. Therefore, we need a method that helps to stand on the impact of changing these constants on the optimal solution that has been reached. General concepts about the binary model and some related theories have also been addressed. By analyzing the sensitivity, we rely on real data for a company that transports crude oil and its derivatives. The mathematical model is formulated for it and the optimal solution is reached using the software. Ready-made sop WINQSB and then calculate the shadow price values for the binding constraints, in addition, linear programming under the fuzzy environment is reviewed, and a new method based on the prime numbers is used to solve the fuzzy parameters model.","PeriodicalId":14698,"journal":{"name":"Iraqi Journal of Science","volume":"2010 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140416261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Approximate Solution of Linear Fuzzy Random Ordinary Differential Equations Using Laplace Variational Iteration Method 用拉普拉斯变分迭代法近似解线性模糊随机常微分方程

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.18

A. A. Abdulsahib, F. Fadhel, Jaafer Hmood Eidi

引用次数: 0

Negation Detection Techniques in Sentiment Analysis: A Survey 情感分析中的否定检测技术：调查

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.37

A. S. Abuhammad, Mahmoud Ali Ahmed

{"title":"Negation Detection Techniques in Sentiment Analysis: A Survey","authors":"A. S. Abuhammad, Mahmoud Ali Ahmed","doi":"10.24996/ijs.2024.65.2.37","DOIUrl":"https://doi.org/10.24996/ijs.2024.65.2.37","url":null,"abstract":" Negation is a linguistic phenomenon that can cause sentences to have their meanings reversed. It frequently inverts affirmative sentences into negative ones, affecting the polarity; therefore, the sentiment of the text also changes accordingly. Negation can be expressed differently, making it somewhat challenging to detect. As a result, detecting negation is critical for Sentiment Analysis (SA) system development and improvement and will increase classifier accuracy, but it also poses a significant conceptual and technical challenge. This paper aims to survey and gather the most recent research related to detecting negation in SA. Many researchers have worked and performed methods, including algorithmic, machine, and deep learning approaches such as Decision Tree (DT), Support Vector Machines (SVM), K-Nearest Neighbor (KNN), Naive Bayesian (NB), Logistic Regression (LR), Artificial Neural Networks (ANNs), Recurrent Neural Networks (RNNs), Bidirectional Long Short-Term Memory (BiLSTM), and other hybrid methods such as rule-based and machine learning, lexicon and machine learning, machine learning, and deep learning. It addresses and tries to identify the gaps in the current studies, laying the foundation for future studies in this field.","PeriodicalId":14698,"journal":{"name":"Iraqi Journal of Science","volume":"47 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140411688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Binary Classification of Diabetic Retinopathy Using CNN Architecture 利用 CNN 架构对糖尿病视网膜病变进行二元分类

Iraqi Journal of Science Pub Date : 2024-02-29 DOI: 10.24996/ijs.2024.65.2.31

Ali Hassan Khudaier, A. Radhi

{"title":"Binary Classification of Diabetic Retinopathy Using CNN Architecture","authors":"Ali Hassan Khudaier, A. Radhi","doi":"10.24996/ijs.2024.65.2.31","DOIUrl":"https://doi.org/10.24996/ijs.2024.65.2.31","url":null,"abstract":" Diabetes mellitus (DM), a chronic, clinically heterogeneous condition, is becoming increasingly common all over the world. Insulin deficiency, resistance to insulin's actions on the body's surface, or both may lead to pancreatic beta-cell degeneration. Diabetes makes people more prone to its consequences, the most prevalent of which is diabetic retinopathy (DR). Deep learning algorithms surpass traditional classification models for illness diagnosis on photos of medical problems. Deep transfer learning models for medical DR detection were evaluated using the APTOS 2019 dataset. Deep transfer learning algorithms for medical diabetic retinopathy (DR) detection are being evaluated. MobileNet Convolutional Neural Networks (CNN) architecture is used to detect the DR in binary class classification tasks, which leverages pre-trained weights collected during the training process using the ImageNet database. Cohen Kappa, F1 score, recall, accuracy, and precision are some of the performance indicators used. According to the data, the given model is the most effective in terms of accuracy and training time for handling our challenges. Overall, MobileNet is a good pick. The following metrics were found to be accurate: 0.9455, precise: 0.94651, recall: 0.9455, F1 score: 0.94556, and Cohen Kappa score: 0.89083. This method might aid medical personnel in the early detection of diabetic retinopathy.","PeriodicalId":14698,"journal":{"name":"Iraqi Journal of Science","volume":"11 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140410439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0