Basrah Researches Sciences最新文献_第2页

Use of full automated microfluidic technique for determination of Zinc (II) in pharmaceutical preparations with 8-Hydroxyquinoline 全自动微流控技术测定8-羟基喹啉制剂中锌的含量

Basrah Researches Sciences Pub Date : 2022-12-30 DOI: 10.56714/bjrs.48.2.2

Ihsan A. Mkashaf, Kamel H. Al-Sowdani, Abdulla J. Y. Aldarwish

引用次数: 0

Generating High-Resolution Chest X-ray Images Using CGAN 使用CGAN生成高分辨率胸部x射线图像

Basrah Researches Sciences Pub Date : 2022-12-30 DOI: 10.56714/bjrs.48.2.9

Haneen M. Mohammed, Khawla H. Ali

{"title":"Generating High-Resolution Chest X-ray Images Using CGAN","authors":"Haneen M. Mohammed, Khawla H. Ali","doi":"10.56714/bjrs.48.2.9","DOIUrl":"https://doi.org/10.56714/bjrs.48.2.9","url":null,"abstract":"Deep Learning (DL) models have outperformed remarkably and effectively on several Computers Vision applications. However, these models require large amounts of data to avoid overfitting problems. Overfitting happens when a network trains a function with an incredibly high variance to represent the training data perfectly. Consequently, medical images lack to availability of large labeled datasets, and the annotation of medical images is expensive and time-consuming for experts, as the COVID-19 virus is an infectious disease, these datasets are scarce and it is difficult to get large datasets. The limited amount of the COVID-19 class compared to any other classes, for example (healthy). To solve the scarcity data problem, we adjust a Conditional Generative Adversarial Network (CGAN) as a solution to the problems of scarcity and limited data. CGAN contains two neural networks: a generator that creates synthetic (fake) images, and a discriminator that recognizes a real sample of training and a generated sample from the generator. The adjusted CGAN is able to Generate synthetic images with high resolution and close to the original images which aid in expanding the limited dataset specific to a new pandemic. In addition to CGAN augmenting strategies, this research also briefly explores additional aspects of data augmentation like time augmentation and total dataset size. Frechet inception distance metric (FID) has been used for evaluating synthetic images generated by CGAN. The adjusted CGAN obtains better FID results for the high-resolution synthetic X-rays images it achieves 2.349%.","PeriodicalId":377834,"journal":{"name":"Basrah Researches Sciences","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403139","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

Presence and distribution of N - alkanes in the waters of some areas of the Shatt Al-Arab River, southern Iraq 伊拉克南部阿拉伯河部分水域中正构烷烃的存在和分布

Basrah Researches Sciences Pub Date : 2022-12-30 DOI: 10.56714/bjrs.48.2.1

Mariam F. Albidhani, Ahmed Mohsen Athbi, H. T. Al-Saad

引用次数: 0

Defending a wireless LAN against ARP spoofing attacks using a Raspberry Pi 使用树莓派保护无线局域网免受ARP欺骗攻击

Basrah Researches Sciences Pub Date : 2022-12-30 DOI: 10.56714/bjrs.48.2.12

H. Nasser, M. Hussain

{"title":"Defending a wireless LAN against ARP spoofing attacks using a Raspberry Pi","authors":"H. Nasser, M. Hussain","doi":"10.56714/bjrs.48.2.12","DOIUrl":"https://doi.org/10.56714/bjrs.48.2.12","url":null,"abstract":"The Address Resolution Protocol (ARP) is a protocol that converts Internet Protocol (IP) addresses to Media Access Control (MAC) addresses. Due to a security issue known as \"Man in the Middle,\" identity theft is feasible using the ARP protocol. ARP spoofing is one of the weaknesses in wireless networks when an attacker effectively masquerades as a legitimate one. Spoofing attacks will reduce network performance and break several security measures. In networks that use MAC address-based filtering to verify clients, all a spoofer needs is an actual MAC address from an authorised client to gain an unfair advantage. The research recommends developing a security system recognising and preventing ARP spoofing attacks. This system detects ARP spoofing attempts by comparing the static MAC address of the original router to the router's MAC address in the ARP cache table. After detecting the attack using information collected from the router's MAC address in the ARP cache table, the system will conduct a de-authentication attack against the attacker's MAC address. If the attacker is disconnected from the WLAN, they cannot perform ARP spoofing attacks. This system is operated using a Raspberry Pi Model B. Most ARP spoofing attacks can be detected in 0.93 seconds, and responding takes 3.05 seconds.","PeriodicalId":377834,"journal":{"name":"Basrah Researches Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129548689","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 study of Toxoplasma gondii infection in normal delivery women with previous abortion history at Basrah Province 巴士拉省有流产史的正常分娩妇女刚地弓形虫感染的分子研究

Basrah Researches Sciences Pub Date : 2022-12-30 DOI: 10.56714/bjrs.48.2.14

Sahar M. A. Al-Mothafer Al-Mothafer, A. Awad

{"title":"Molecular study of Toxoplasma gondii infection in normal delivery women with previous abortion history at Basrah Province","authors":"Sahar M. A. Al-Mothafer Al-Mothafer, A. Awad","doi":"10.56714/bjrs.48.2.14","DOIUrl":"https://doi.org/10.56714/bjrs.48.2.14","url":null,"abstract":"Toxoplasma gondii is the causative agent of toxoplasmosis, one of the most common parasitic infections of humans and pets. T. gondii was serologically investigated for newborn women who had previous abortion by ELISA and included (70) women with a history of single or recurrent abortion and (30) women with normal delivery without previous abortion as a control group. The study included women attending Basrah Obstetrics and Gynecology Hospital, Al-Moanaa General Hospital, Al-Fayhaa General Hospital, Zubair General Hospital and Dar Al Shifa investment Hospital. The percentage of seroprevalence of T. gondii IgG was (41.4%). No percentage was recorded for IgM antibodies. Significant differences were found between age groups of these antibodies. The examination showed that 7 (23.3%) of (30) in the control group were positive for IgG antibodies, compared to 0 (0%) of IgM. The highest percentage (50%) of IgG antibody was in the age group 20 years or less according to the number of previous miscarriages. The highest percentage of IgG antibody infection was (46.2%) in women who had two previous abortions and no infection rates were recorded for IgM antibody. The highest infection rates (43.8%) were in Zubair district compared to the city center for IgG antibody, and no infection with IgM antibody was recorded. Infection rate (70%) was recorded for the PCR-positive samples using Nested PCR technique. Toxoplasma DNA sequences according to the isolated hosts was carried out. The reading of the genetic tree showed that the sample of women born naturally is identical with the main branch of the kinship tree that carries the sequence MZ717187, MZ717188, MZ717189, MZ717190, MZ717191 in the global gene bank.","PeriodicalId":377834,"journal":{"name":"Basrah Researches Sciences","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133313796","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