the Journal of University of Duhok最新文献_第8页

Reproductive And Urinary System’s Complications after Cesarean Section Versus Vaginal Delivery: A Comparative Study in Duhok City /iraq 剖宫产与阴道分娩后生殖和泌尿系统并发症:伊拉克杜霍克市的比较研究

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.26.1.38

Bemal Habeeb Sadeq, Hamdia Mirkhan Ahmed

引用次数: 0

Assessing Respiratory Function in Covid 19 Patients Using Pulmonary Function Tests: Implications for Length of Hospital Stay And Disease Severity 使用肺功能测试评估Covid - 19患者的呼吸功能:对住院时间和疾病严重程度的影响

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.26.1.40

Zheen F. Hefdhallah, Haidar N. Mohammed

引用次数: 0

Scenarios for Mobility Improvement Based on Individual Socioeconomic Factors 基于个人社会经济因素的流动性改善方案

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.26.1.3

Pires Abdullah, T. Sipos

引用次数: 0

Detection And Antibiotic Susceptibility Test of Enterococcus Spp. from Different Clinical Samples in Duhok City/ Iraq 伊拉克杜霍克市不同临床标本肠球菌的检测及药敏试验

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.26.1.36

Rand Bahdeen Jalal, Bland Husamuldeen Abdullah

{"title":"Detection And Antibiotic Susceptibility Test of Enterococcus Spp. from Different Clinical Samples in Duhok City/ Iraq","authors":"Rand Bahdeen Jalal, Bland Husamuldeen Abdullah","doi":"10.26682/sjuod.2023.26.1.36","DOIUrl":"https://doi.org/10.26682/sjuod.2023.26.1.36","url":null,"abstract":"Enterococci a variety of species and formerly believed to be of no medical importance; recently they emerged as life threatening multidrug-resistant (MDR) nosocomial pathogens. Enterococcus faecalis and Enterococcus faecium make up the majority of clinical isolates. Furthermore, these bacteria are naturally resistant to most commonly used antibiotics. The study assesses the prevalence of Enterococcus spp. in different clinical samples; pinpoints the prevalence of species causing infection in this area and finally analyzes the patterns of drug resistance of these isolates. A total of 560 samples were collected and plated on blood and chocolate agar. Species identification and antibiotic susceptibility testing were performed using automated VITEK 2 system. Four species of Enterococci were isolated: E. faecalis (74%), E. faecium (18%) and only (4%) of each E. gallinarum and E. avium. E. faecalis had a (100%) rate of resistance to Gentamycin. E. faecium , a rate of (100%) resistance to Benzylpenicillin. E. gallinarum showed complete resistance to a variety of antibiotics. E. avium showed complete resistance to Ampicillin and Tetracycline. Enterococci represent an infection control challenge in the region, a careful usage of antibiotics and implementation of infection control practices is believed to reduce the risk of infection.","PeriodicalId":152174,"journal":{"name":"the Journal of University of Duhok","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222036","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

A Classification of Outliers in Transformed Variables 变换变量中异常值的分类

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2022.26.1.2

Rojeen Taha Ahmad, Shelan Saied Ismaeel

{"title":"A Classification of Outliers in Transformed Variables","authors":"Rojeen Taha Ahmad, Shelan Saied Ismaeel","doi":"10.26682/sjuod.2022.26.1.2","DOIUrl":"https://doi.org/10.26682/sjuod.2022.26.1.2","url":null,"abstract":"The diagnostic of outliers is very essential since of their responsibility for producing large interpretative problems in linear regression analysis and nonlinear regression analysis. There has been a lot of work accomplished in identifying outliers in linear but not in nonlinear regression. In practice, it is often the case that the assumption of linear regression is violated, such as when highly influential outliers exist in the dataset, which will adversely impact the validity of the statistical analysis. Finding outliers is important because they are responsible for invalid inferences and inaccurate predictions as they have a larger impact on the computed values of various estimations. The outliers must be divided into vertical outliers (VO), good leverage points (GLP), and bad leverage points (BLP) since only the vertical outliers and bad leverage have an undue effect on parameter estimations. We compare several outlier detection techniques using a robust diagnostic plot to correctly classify good and bad leverage points and vertical outliers, by decreasing both masking and swamping effects for both the untransformed variables and transformed variables. The main idea is to detect of outliers before transformation (original data) and after transformation. The results of generation study and numerical indicate that modified generalized DIFFITS (different of fit) against the Diagnostic Robust Generalized Potential (MGDFF-DRGP) successfully detect outliers in the data.","PeriodicalId":152174,"journal":{"name":"the Journal of University of Duhok","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671438","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

Molecular Identification And Phylogenetic Analysis of Fasciola Species Isolated from Sheep And Cattle Using The Its2 Rdna Marker in Duhok Province, Kurdistan Region, Iraq 伊拉克库尔德斯坦地区杜胡克省绵羊和牛片形吸虫的分子鉴定及系统发育分析

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.261.1

Nehmat K. Ahmed, Osama T. Pirbal

引用次数: 0

Routing Misbehavior in Mobile Ad Hoc Networks 移动Ad Hoc网络中的路由错误行为

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.26.1.35

Delan Sherzad Alsoufi, Ismail Amin Ali

引用次数: 0

Interplay of Mast Cells, Hpv, And Tumor Infiltrating Lymphocytes in Oral Squamous Cell Carcinoma 肥大细胞、Hpv和肿瘤浸润淋巴细胞在口腔鳞状细胞癌中的相互作用

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.26.1.41

Aween Auda Ablahad, Hashim Dawood Mousa, Jalal Ali Jalal

引用次数: 0

Nano -operators And Nano -continuity in Nano Topological Spaces 纳米拓扑空间中的纳米算子和纳米连续性

the Journal of University of Duhok Pub Date : 2023-04-25 DOI: 10.26682/sjuod.2023.26.2.1

Nehmat K. Ahmed, Osama T. Pirbal

引用次数: 0

Using Predictive Justice Algorithms for Issuing Court Judgments with Efficient Prediction “development of Legal-tech Prospects in The Judiciary System in Iraq And Kurdistan Region” 使用预测司法算法发布法院判决并有效预测“伊拉克和库尔德斯坦地区司法系统法律技术前景的发展”

the Journal of University of Duhok Pub Date : 2023-04-13 DOI: 10.26682/hjuod.2023.26.1.11

Fahil Abdulbasit A. Abdulkareem

{"title":"Using Predictive Justice Algorithms for Issuing Court Judgments with Efficient Prediction “development of Legal-tech Prospects in The Judiciary System in Iraq And Kurdistan Region”","authors":"Fahil Abdulbasit A. Abdulkareem","doi":"10.26682/hjuod.2023.26.1.11","DOIUrl":"https://doi.org/10.26682/hjuod.2023.26.1.11","url":null,"abstract":"After the emergence of Artificial Intelligence-AI algorithms and the mechanisation of human life by combining the physical and digital dimensions of things, and harnessing this mechanisation to serve human civilisation by simulating human intelligence, through digital technology programs (Algorithm) and Machine Learning-ML models, the research suggests to the criminal-judicial institution of the Iraq and the Kurdistan Region, the use of the latest Deep Learning-DL model in the field of criminal justice, the Hybrid Neural Network, namely a Long Short-Term Memory-LSTM network with a Convolutional Neural Network-CNN, in order to predict court judgments effectively, using effective judicial data (DataSets), this would be achieve through the following steps: 1-Selecting priorities for judicial work; 2-Testing features with a high degree of reliability and accuracy within the total of legal data entered; 3-Choosing only the features that are most relevant to the legal case (Crime Analysis Process); 4-Using the LSTM-CNN model to predict the lawsuit judgments. Noting that the recent judicial authorities' use of this model showing accuracy with a percentage 92.05 and precision with a percentage of 93, recall with a percentage of 94, and F1-score 1 with a percentage of 93.","PeriodicalId":152174,"journal":{"name":"the Journal of University of Duhok","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123114900","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