Search results for "KF"
showing 10 items of 448 documents
ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral Bioavailability.
2020
In silico prediction of human oral bioavailability is a relevant tool for the selection of potential drug candidates and for the rejection of those molecules with less probability of success during the early stages of drug discovery and development. However, the high variability and complexity of oral bioavailability and the limited experimental data in the public domain have mainly restricted the development of reliable in silico models to predict this property from the chemical structure. In this study we present a KNIME automated workflow to predict human oral bioavailability of new drug and drug-like molecules based on five machine learning approaches combined into an ensemble model. Th…
A Study Regarding the Use of Expert Systems in Economics Field
2013
Abstract Expert systems simulate the formal reasoning of human expert in a narrow field like stock trading. The traditional method is using IF-THEN rules. Nowadays, Belief Rule Base (BRB) expert systems are capable to perform reasoning based both qualitative and quantitative information. The paper presents a SWOT analysis of expert systems, emphasizing the opportunities the use of expert systems offers to economics field. Using expert systems in economics field provides strategic benefits like: competitive financial advantages, investment advisory, better organisation of workflow, back-up for key experts, training tool for new employees, diagnosis of critical aspects, prognosis of economic …
Radiomics: A New Biomedical Workflow to Create a Predictive Model
2020
‘Radiomics’ is utilized to improve the prediction of patient overall survival and/or outcome. Target segmentation, feature extraction, feature selection, and classification model are the fundamental blocks of a radiomics workflow. Nevertheless, these blocks can be affected by several issues, i.e. high inter- and intra-observer variability. To overcome these issues obtaining reproducible results, we propose a novel radiomics workflow to identify a relevant prognostic model concerning a real clinical problem. In the specific, we propose an operator-independent segmentation system with the consequent automatic extraction of radiomics features, and a novel feature selection approach to create a…
Galaxy-SynBioCAD: Synthetic Biology Design Automation tools in Galaxy workflows
2020
AbstractMany computer-aided design tools are available for synthetic biology and metabolic engineering. Yet, these tools can be difficult to apprehend, sometimes requiring a level of expertise that limits their use by a wider community. Furthermore, some of the tools, although complementary, rely on different input and output formats and cannot communicate with one another. Scientific workflows address these shortcomings while offering a novel design strategy. Among the workflow systems available, Galaxy is a web-based platform for performing findable and accessible data analyses for all scientists regardless of their informatics expertise, along with interoperable and reproducible computat…
sar: Automatic generation of statistical reports using Stata and Microsoft Word for Windows
2013
The output provided by most Stata commands is plain text not suitable to be presented or published. After the numerical and graphical outputs are obtained, the user has to copy them into a word processor to complete the editing process. Some Stata commands help you to obtain well-formatted output, especially tabulated results in LATEX or other formats, but they are not a complete solution nor are they friendly tools. Stata automatic report (Sar) is an easy-to-use macro for Microsoft Word for Windows that allows a powerful integration between Stata and Word. With Sar, the user can retrieve numerical results and graphs from Stata and automatically insert them into a well-formatted Word docum…
A Large-Scale Empirical Evaluation of Cross-Validation and External Test Set Validation in (Q)SAR.
2013
(Q)SAR model validation is essential to ensure the quality of inferred models and to indicate future model predictivity on unseen compounds. Proper validation is also one of the requirements of regulatory authorities in order to accept the (Q)SAR model, and to approve its use in real world scenarios as alternative testing method. However, at the same time, the question of how to validate a (Q)SAR model, in particular whether to employ variants of cross-validation or external test set validation, is still under discussion. In this paper, we empirically compare a k-fold cross-validation with external test set validation. To this end we introduce a workflow allowing to realistically simulate t…
A Generic Approach to Scheduling and Checkpointing Workflows
2018
This work deals with scheduling and checkpointing strategies to execute scientific workflows on failure-prone large-scale platforms. To the best of our knowledge, this work is the first to target fail-stop errors for arbitrary workflows. Most previous work addresses soft errors, which corrupt the task being executed by a processor but do not cause the entire memory of that processor to be lost, contrarily to fail-stop errors. We revisit classical mapping heuristics such as HEFT and MinMin and complement them with several checkpointing strategies. The objective is to derive an efficient trade-off between checkpointing every task (CkptAll), which is an overkill when failures are rare events, …
Estetiske Læringsprosesser i design og spilling av brettspill
2018
Masteroppgave kunstfag KF500 - Universitetet i Agder 2018 In this thesis I have studied how aesthetical learning processes can occur in thedesign process and in play of a natural science themed board game. I have done this by designing my own board game with a biological theme, and tested it with others in two occations. I found that aesthetic learning processes had occurred in both the design process and whenplaying the game. This gave me the basis for further discussion of how learning processes and aesthetic learning processes can occur in the game medium in general.In the design process, aesthetic learning processes can occur through position exploration and aesthetic choices in the cre…
Information Technology Issues in Finland
2020
Information technology (IT) industry is essential in Finland because of its significant export contribution, extensive workforce, and research and innovation contributions. This chapter highlights key issues in this important industry. For instance, IT reliability and efficiency are the top issues necessary for the Finnish IT industry’s competitiveness in a global context. Furthermore, business intelligence and analytics tools, techniques and skills are central to the Finnish IT industry. The industry has a very experienced workforce that is however aging and thus there is a need for training of young personnel to join the industry. Generally, the Finnish IT workers are satisfied with their…
Ecological restoration in contaminated soils of Kokdzhon phosphate mining area (Zhambyl region, Kazakhstan)
2016
Abstract This study provides results of an ecological restoration activity performed in the Kokdzhon phosphate mining of the Zhambyl region (a semi-desert mining area of Kazakhstan). The test area was made by a quarry-hole, about 1.25 hectares wide, that was preliminarily filled with the earthy material of a dump and, subsequently, levelled. The total volume of human transported material (HTM) used was 700 tonnes. Soil samples were taken from 0 to 30 cm depth at 23 sampling sites and several soil quality parameters were determined. In the test area 750 tree species were planted in suitable dug holes: (150 seedlings of Russian Olive; 150 seedlings of Black Saxaul); 150 seedlings of Androsov …