{"title":"Statistical analysis of radiomic features in differentiation of glioma grades","authors":"Gokalp Cinarer, Bulent Gursel Emiroglu","doi":"10.18844/gjpaas.v0i12.4988","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i12.4988","url":null,"abstract":"Radiomics is an important quantitative feature extraction tool used in many areas such as image processing and computer-aided diagnosis. In this study, the discriminability of brain cancer tumour grades (Grade II and Grade III) with radiomic features were analysed statistically. The data set consists of 121 patients, 77 patients with Grade II tumours and 44 patients with Grade III tumours. A total of 107 radiomic features were extracted, including three groups of radiomic features such as morphological, first-order and texture. Relationships between the characteristics of each group were tested by Spearman’s correlation analysis. Differences between Grade II and Grade III tumour categories were analysed with Mann–Whitney U test. According to the results, it was seen that radiomic features can be used to differentiate the features of tumour levels evaluated in the same category. These results show that by employing radiomic features brain cancer grade detection can help machine learning technologies and radiological analysis. \u0000 \u0000Keywords: Radiomics, glioma, image processing.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125438825","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}
{"title":"Classification of brain tumours using radiomic features on MRI","authors":"Gokalp Cinarer, Bulent Gursel Emiroglu","doi":"10.18844/gjpaas.v0i12.4989","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i12.4989","url":null,"abstract":"Glioma is one of the most common brain tumours among the diagnoses of existing brain tumours. Glioma grades are important factors that should be known in the treatment of brain tumours. In this study, the radiomic features of gliomas were analysed and glioma grades were classified by Gaussian Naive Bayes algorithm. Glioma tumours of 121 patients of Grade II and Grade III were examined. The glioma tumours were segmented with the Grow Cut Algorithm and the 3D feature of tumour magnetic resonance imaging images were obtained with the 3D Slicer programme. The obtained quantitative values were statistically analysed with Spearman and Mann–Whitney U tests and 21 features with statistically significant properties were selected from 107 features. The results showed that the best performing among the algorithms was Gaussian Naive Bayes algorithm with 80% accuracy. Machine learning and feature selection techniques can be used in the analysis of gliomas as well as pathological evaluations in glioma grading processes. \u0000 \u0000Keywords: Radiomics, glioma, naive bayes.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121366506","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}
{"title":"Performance analysis and GPU parallelisation of ECO object tracking algorithm","authors":"Ugur Taygan, Adnan Ozsoy","doi":"10.18844/gjpaas.v0i12.4991","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i12.4991","url":null,"abstract":"The classification and tracking of objects has gained popularity in recent years due to the variety and importance of their application areas. Although object classification does not necessarily have to be real time, object tracking is often intended to be carried out in real time. While the object tracking algorithm mainly focuses on robustness and accuracy, the speed of the algorithm may degrade significantly. Due to their parallelisable nature, the use of GPUs and other parallel programming tools are increasing in the object tracking applications. In this paper, we run experiments on the Efficient Convolution Operators object tracking algorithm, in order to detect its time-consuming parts, which are the bottlenecks of the algorithm, and investigate the possibility of GPU parallelisation of the bottlenecks to improve the speed of the algorithm. Finally, the candidate methods are implemented and parallelised using the Compute Unified Device Architecture. \u0000 \u0000Keywords: Object tracking, parallel programming.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128253293","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}
{"title":"Innovative development of key sectors of economy based on the creation of technological parks in the Republic of Azerbaijan","authors":"N. Hasanov, N. Akbulaev","doi":"10.18844/gjpaas.v0i12.4986","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i12.4986","url":null,"abstract":"The priorities of stabilisation of the Azerbaijan economy require the search for approaches to the organisation of production and economic activities on a new technological basis within the framework of the construction of structures of the Techno park type. This article is devoted to issues of innovative development of key sectors of economy on the basis of digitalisation and creation of technological parks in the Republic of Azerbaijan. This article examines the current situation of the digital economy, its characteristic features, analyses the state of Techno parks and various approaches to the use of the digital economy, as well as the prospects and trends of its development in the Republic of Azerbaijan. The aim of this article is to develop theoretical and practical issues related to the innovative development of key sectors of the economy on the basis of the introduction of scientific and technical structures of the Techno park type. The main result of this work is the allocation of opportunities for the further successful development of key sectors of the economy on the basis of the creation of technological parks in the Republic of Azerbaijan. The article considers theoretical and practical aspects of innovative development of economic sectors on the basis of introduction of scientific and technical structures of Techno park type. It is determined that one of the main problems of development of the country and its individual regions’ increase of investment attractiveness and innovation activity. It is proved that insufficient use of the scientific and technological potential of the country has been shown to be due to lack of organisational resources and organisational innovation. \u0000 \u0000Keywords: Technopark, digital economy, innovative infrastructure, information technologies.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132386993","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}
{"title":"A comparative study of different classification algorithms on RNA-Seq cancer data","authors":"N. Şimşek, B. Haznedar, Cihan Kuzudişli","doi":"10.18844/gjpaas.v0i12.4983","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i12.4983","url":null,"abstract":"Gene mutations are the most important reason of cancer diseases, and there are different kind of causing genes across these diseases. RNA-Seq technology enables us to allow for gathering information about many genes simultaneously; hence, RNA-Seq data can be used for cancer diagnosis and classification. In this study, RNA-Seq dataset for renal cell cancer is analysed using three different developed classification methods: random forest (RF), artificial neural network (ANN) and deep learning (DL). The genes in our dataset are related to the following cancer types: kidney renal papillary cell, kidney renal clear cell and kidney chromophore carcinomas. It suggests that the DL method gives the highest accuracy rate compared to RF and ANN for 95.15%, 91.83% and 89.22%, respectively. We believe that the results acquired in this study will make a contribution to the classification of cancer types and support doctors in their processes of decision making. \u0000 \u0000Keywords: Classification, gene-expression, RNA-Seq, DL.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127456470","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}
{"title":"Factors affecting the attitudes of nurses towards change","authors":"G. Kaya, Z. Koç, Dilek Kiymaz, T. Cinarli","doi":"10.18844/gjpaas.v0i11.4309","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i11.4309","url":null,"abstract":"This study was conducted as descriptive with an aim to determine the factors affecting the attitudes of nurses towards change. The study was conducted with the participation of 178 nurses in state hospital between October 10, 2017 and January 30, 2018. The data were collected using a questionnaire consisting of 24 questions, and the Attitude Against Change Scale consisting of 29 items. In the evaluation of the data, descriptive statistics, One-Way Anova, t-test, Kruskal–Wallis test and Mann–Whitney U test were used. The Attitude Against Change Scale score was determined as 56.82 ± 13.52. A meaningful relation was observed between the Attitude Against Change Scale score averages and certain sociodemographic characteristics of nurses (p < 0.05). It was determined in the study that the nurses between the ages of 30 and 39, having 8–15 years of profession had more positive attitudes towards change. \u0000Keywords: Change, attitude towards change, nurse.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131255651","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}
{"title":"Looking at male nurse discrimination among nursing students with O’connor finger-dexterity test; future of gender discrimination","authors":"Gülden Aynaci","doi":"10.18844/gjpaas.v0i11.4311","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i11.4311","url":null,"abstract":"Hand-dexterity and hand-eye coordination are important in the nursing profession. In nursing education, equal conditions for gaining experience regardless of gender difference should be established. The aim of our study was to evaluate the effects of gender difference on hand-dexterity and hand-eye coordination. Our study included 100 undergraduate nursing students of XXX University evaluated by O’Connor finger dexterity test. The study demonstrated that males were careful and willing to take care of their patients but they felt they are at the backstage because the occupation is a female predominant one. They were careful during the O’Connor test. The average test duration of female and male students was similar. Students with longer hand and palm lengths had better hand-dexterity. Because wrist circumference and width were more in males than females; this provided advantage to males. O’Connor results demonstrated that male students aren’t less successful in terms of dexterity and hand-eye-coordination. \u0000Keywords: Hand-dexterity; nurse; O’connor","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"393 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122536709","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}
{"title":"Impact of creativity in nursing education","authors":"Sameer Hamdan, Burçin Işık, S. Jallad","doi":"10.18844/gjpaas.v0i11.4312","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i11.4312","url":null,"abstract":"Nowadays, the world has changed from a production source to a services-driven force; there are new challenges and shifts towards meaningful learning, together with rapid technological, socio-economic and environmental changes which call for a specific educational approach that learners need to acquire meaningful knowledge while encouraging them to utilise their knowledge in learning process to develop lifelong learning skills in order to prepare them for a complex future. Creativity in nursing education is an essential competence in fostering nursing learners; as both creative and critical thinking skills are needed to identify issues and create critical solutions to improve learners’ cognitive attributes and reflection and engagement in learning by developing assessment strategies and inspiring internal motivation for lifelong learning during various teaching activities. Therefore, nursing programmes must prepare nurses who can successfully perform in an environment that demands innovative problem-solving. In this context, this paper reviews the impacts of creativity in nursing education. \u0000 \u0000Keywords: Nursing education, creativity, creative thinking, strategies of creativity","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927545","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}
{"title":"The factors affecting the illness perception in patients staying in a state hospital","authors":"N. Kiyici, Z. Koç, Z. Saglam, S. Masat","doi":"10.18844/gjpaas.v0i11.4308","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i11.4308","url":null,"abstract":"This study was conducted as descriptive with an aim to determine the factors affecting the illness perception in patients. The study was conducted with the participation of 130 patients receiving treatment in a state hospital between March 25 and May 11, 2018. The data were collected using a questionnaire form consisting of 20 questions and the Illness Perception Questionnaire. Kruskal–Wallis test, Spearman Correlation test in addition to descriptive statistics were used for the evaluation of the data. The item that the patients received the highest score from the Illness Perception Questionnaire was ‘My treatment would be effective in healing my disease’ (3.83 ± 1.21) and the lowest score was from the item ‘Nothing can improve my condition’ (1.93 ± 1.12). It is recommended to organise training in order to strengthen the patients to deal with the side effects of their diseases. \u0000Keywords: Illness perception, behaviour, opinion.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129342883","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}
{"title":"The potential of social media and nursing education: E-professionalism, nurse educator–learner role, benefits and risks","authors":"Burçin Işık, S. Jallad","doi":"10.18844/gjpaas.v0i11.4310","DOIUrl":"https://doi.org/10.18844/gjpaas.v0i11.4310","url":null,"abstract":"In the 21st century, continuous and evolving complex treatment needs required health professionals to be educated about using social media for their ethical and legal responsibilities that are more influenced. So, the learners should be adapting to become power users of education and demand up-to-date interesting models of teaching by using social media to encourage dialogue and self-efficacy. Using social media tools, such as Blogs, Twitter, Wikis, Facebook and YouTube in nursing education develops critical reflection skills, promotes life-long learning and supports decision-making skills. While the risks raise privacy concerns regarding the interactions among learners and between learners and educators. Hence, nurse educators and learners must be aware of e-professionalism when using social media, and how to separate their personal and professional life to communicate with peers, patients, family and friends. In this context, this paper reviews how social media impacts on nursing education, and the vital role of nurse educators and learner. \u0000Keywords: Nursing education, social media, e-professionalism, benefits of social media, risks of social media.","PeriodicalId":210768,"journal":{"name":"New Trends and Issues Proceedings on Advances in Pure and Applied Sciences","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126160747","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}