Ecological Spectra of the Most Abundant Lumbricid (Oligochaeta, Lumbricidae) Species of the Central Ukrainian (Polissia). Khomyak, I. V., Onischuk, I. P., Kotsyuba, Y. Yu. -Distribution of species in earthworm communities under the infl uence of basic environmental factors was established using phytoindication methods. We described the environmental spectrum for lumbricid certain species. A. roseа and A. сaliginosа are identifi ed as everytopic species, E. tetraedrais is rather everytopic than stenotopic. D. octaedra and De. rubidus are stenotopic.
Oncologists nowadays are faced with big amount of heterogeneous medical data of diagnostic studies. Possible errors in determining the nature and extent of spread the tumor process will inevitably reduce the effectiveness of treatment and increase the unnecessary costs to it. To reduce the burden on clinicians, various computer-aided solutions based on machine learning algorithms are being developed. We made an attempt to evaluate effectiveness of thirteen machine learning algorithms in the tasks of classification of pathologic tissue samples in cancerous thorax based on gene expression levels. For a preliminary study we used open data set of molecular genetics composition of lung adenocarcinoma and pleural mesothelioma. Effectiveness of machine learning algorithms was evaluated by Matthews correlation coefficient and Area Under ROC Curve. Best results were showed by two methods: Bayesian logistic regression and Discriminative Multinomial Naive Bayes classifier. Nevertheless, all of the methods were effective at automatic discrimination of two types of cancer. That proves machine learning algorithms are applicable in lung cancer classification. In the future studies it will be carried out a similar analysis of the diagnostic value of methods for other malignancies with more complex differential morphological diagnosis. Similar methods can be applied to other diagnostic studies including computerized tomography image analysis in the differential diagnosis of lung nodules.
The article presents a software package that allows to support the design of teaching materials by a teacher of disciplines of the humanities and socio-economic cycle. The problems of the organization of didactic design by a university teacher with the need to compile directly by an expert teacher supporting lecture notes and other methodological materials, including the need to select a number of literary sources taking into account their specifics for different educational tasks and types of educational activities, are presented. The problems of adaptation and development of methodological materials to changes in the ontology of the subject area are discussed, for example, in connection with changing trends in the scientific environment, when established positions are transformed, which creates a problem for the teacher to additionally engage in didactic design and adjust teaching materials. Thus, there is an urgency of automatic analysis of text materials, which will significantly reduce the complexity of this process when developing, making changes and adapting courses of humanitarian and socio-economic orientation. The step-by-step process of transition from the competence-oriented requirements of the subject area to the functional requirements of the information system is analyzed, on the basis of which a decision-making model was formulated that closely imitates the process of didactic design, subject to automation, and allows using software tools to control its logic. The results of the infological and physical design of the system are presented, including a database model and a deployment diagram using an object-oriented modeling language. Methods and tools of software implementation of the application are discussed with justification of the relevance of their choice for the software solution of the task. The results of the system's operation confirm its functional suitability, and the results of testing allow us to judge a significant reduction in the complexity of the didactic design process by the teacher. The developed tool can be widely used both in the development of educational and methodological materials of the main literature, and for the methodological equipment of the organization of independent work of students.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.