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Journal articles on the topic 'Automated Scientific Discovery'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Hakuk, Yaron, and Yoram Reich. "Automated discovery of scientific concepts: Replicating three recent discoveries in mechanics." Advanced Engineering Informatics 44 (April 2020): 101080. http://dx.doi.org/10.1016/j.aei.2020.101080.

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Yang, Lusann, Joel A. Haber, Zan Armstrong, et al. "Discovery of complex oxides via automated experiments and data science." Proceedings of the National Academy of Sciences 118, no. 37 (2021): e2106042118. http://dx.doi.org/10.1073/pnas.2106042118.

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The quest to identify materials with tailored properties is increasingly expanding into high-order composition spaces, with a corresponding combinatorial explosion in the number of candidate materials. A key challenge is to discover regions in composition space where materials have novel properties. Traditional predictive models for material properties are not accurate enough to guide the search. Herein, we use high-throughput measurements of optical properties to identify novel regions in three-cation metal oxide composition spaces by identifying compositions whose optical trends cannot be ex

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Khan, Fakhri Alam, Sardar Hussain, Ivan Janciak, and Peter Brezany. "Towards Next Generation Provenance Systems for e-Science." International Journal of Information System Modeling and Design 2, no. 3 (2011): 24–48. http://dx.doi.org/10.4018/jismd.2011070102.

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e-Science helps scientists to automate scientific discovery processes and experiments, and promote collaboration across organizational boundaries and disciplines. These experiments involve data discovery, knowledge discovery, integration, linking, and analysis through different software tools and activities. Scientific workflow is one technique through which such activities and processes can be interlinked, automated, and ultimately shared amongst the collaborating scientists. Workflows are realized by the workflow enactment engine, which interprets the process definition and interacts with th

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Ieong, Pek U., Jesper Sørensen, Prasantha L. Vemu, et al. "Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations." Procedia Computer Science 29 (2014): 1745–55. http://dx.doi.org/10.1016/j.procs.2014.05.159.

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Ren, Kaijun, Jinjun Chen, Nong Xiao, and Junqiang Song. "Building Quick Service Query list (QSQL) to support automated service discovery for scientific workflow." Concurrency and Computation: Practice and Experience 21, no. 16 (2009): 2099–117. http://dx.doi.org/10.1002/cpe.1449.

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Choi, Byung-Kwon, Tajhal Dayaram, Neha Parikh, et al. "Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2." Proceedings of the National Academy of Sciences 115, no. 42 (2018): 10666–71. http://dx.doi.org/10.1073/pnas.1806643115.

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Scientific progress depends on formulating testable hypotheses informed by the literature. In many domains, however, this model is strained because the number of research papers exceeds human readability. Here, we developed computational assistance to analyze the biomedical literature by reading PubMed abstracts to suggest new hypotheses. The approach was tested experimentally on the tumor suppressor p53 by ranking its most likely kinases, based on all available abstracts. Many of the best-ranked kinases were found to bind and phosphorylate p53 (P value = 0.005), suggesting six likely p53 kina

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Thilakaratne, Menasha, Katrina Falkner, and Thushari Atapattu. "A systematic review on literature-based discovery workflow." PeerJ Computer Science 5 (November 18, 2019): e235. http://dx.doi.org/10.7717/peerj-cs.235.

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As scientific publication rates increase, knowledge acquisition and the research development process have become more complex and time-consuming. Literature-Based Discovery (LBD), supporting automated knowledge discovery, helps facilitate this process by eliciting novel knowledge by analysing existing scientific literature. This systematic review provides a comprehensive overview of the LBD workflow by answering nine research questions related to the major components of the LBD workflow (i.e., input, process, output, and evaluation). With regards to theinputcomponent, we discuss the data types

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Giza, Piotr. "Sign use and cognition in automated scientific discovery: are computers only special kinds of signs?" International Journal of General Systems 47, no. 3 (2017): 193–207. http://dx.doi.org/10.1080/03081079.2017.1414209.

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Hassan, Amr, and Christopher J. Fluke. "Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era." Publications of the Astronomical Society of Australia 28, no. 2 (2011): 150–70. http://dx.doi.org/10.1071/as10031.

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AbstractAstronomy is entering a new era of discovery, coincident with the establishment of new facilities for observation and simulation that will routinely generate petabytes of data. While an increasing reliance on automated data analysis is anticipated, a critical role will remain for visualization-based knowledge discovery. We have investigated scientific visualization applications in astronomy through an examination of the literature published during the last two decades. We identify the two most active fields for progress — visualization of large-N particle data and spectral data cubes—d

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Karl, Jason W. "Mining location information from life- and earth-sciences studies to facilitate knowledge discovery." Journal of Librarianship and Information Science 51, no. 4 (2018): 1007–21. http://dx.doi.org/10.1177/0961000618759413.

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Location information in published studies represents an untapped resource for literature discovery, applicable to a range of domains. The ability to easily discover scientific articles from specific places, nearby locales, or similar (but geographically separate) areas worldwide is important for advancing science and addressing global sustainability challenges. However, the thematic and not geographic nature of current search tools makes location-based searches challenging and inefficient. Manually geolocating studies is labor intensive, and place-name recognition algorithms have performed poo

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Bohn, Markus-Frederik, and Celia A. Schiffer. "REdiii: a pipeline for automated structure solution." Acta Crystallographica Section D Biological Crystallography 71, no. 5 (2015): 1059–67. http://dx.doi.org/10.1107/s139900471500303x.

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High-throughput crystallographic approaches require integrated software solutions to minimize the need for manual effort.REdiiiis a system that allows fully automated crystallographic structure solution by integrating existing crystallographic software into an adaptive and partly autonomous workflow engine. The program can be initiated after collecting the first frame of diffraction data and is able to perform processing, molecular-replacement phasing, chain tracing, ligand fitting and refinement without further user intervention. Preset values for each software component allow efficient progr

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Khan, Junaed Younus, Md Tawkat Islam Khondaker, Iram Tazim Hoque, et al. "Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach." JMIR Medical Informatics 8, no. 11 (2020): e21648. http://dx.doi.org/10.2196/21648.

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Background Novel coronavirus disease 2019 (COVID-19) is taking a huge toll on public health. Along with the non-therapeutic preventive measurements, scientific efforts are currently focused, mainly, on the development of vaccines and pharmacological treatment with existing drugs. Summarizing evidences from scientific literatures on the discovery of treatment plan of COVID-19 under a platform would help the scientific community to explore the opportunities in a systematic fashion. Objective The aim of this study is to explore the potential drugs and biomedical entities related to coronavirus re

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Beal, Jacob, Paul A. Bello, Nicholas Cassimatis, et al. "Reports of the AAAI 2008 Fall Symposia." AI Magazine 30, no. 2 (2009): 106. http://dx.doi.org/10.1609/aimag.v30i2.2231.

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The Association for the Advancement of Artificial Intelligence was pleased to present the 2008 Fall Symposium Series, held Friday through Sunday, November 7-9, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the seven symposia were (1) Adaptive Agents in Cultural Contexts, (2) AI in Eldercare: New Solutions to Old Problems, (3) Automated Scientific Discovery, (4) Biologically Inspired Cognitive Architectures, (5) Education Informatics: Steps toward the International Internet Classroom, (6) Multimedia Information Extraction, and (7) Naturally Inspired AI.

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Gagliardi, Francesco. "A Cognitive Approach to Scientific Data Mining for Syndrome Discovery." International Journal of Software Science and Computational Intelligence 4, no. 1 (2012): 1–33. http://dx.doi.org/10.4018/jssci.2012010101.

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The author introduces a machine learning system for cluster analysis to take on the problem of syndrome discovery in the clinical domain. A syndrome is a set of typical clinical features (a prototype) that appear together often enough to suggest they may represent a single, unknown, disease. The discovery of syndromes and relative taxonomy formation is therefore the critical early phase of the process of scientific discovery in the medical domain. The system proposed discovers syndromes following Eleanor Rosch’s prototype theory on how the human mind categorizes and forms taxonomies, and there

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Hu, Rongdong, Guangming Liu, Jingfei Jiang, and Lixin Wang. "G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS." Computational and Mathematical Methods in Medicine 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/549026.

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Cloud computing has started to change the way how bioinformatics research is being carried out. Researchers who have taken advantage of this technology can process larger amounts of data and speed up scientific discovery. The variability in data volume results in variable computing requirements. Therefore, bioinformatics researchers are pursuing more reliable and efficient methods for conducting sequencing analyses. This paper proposes an automated resource provisioning method, G2LC, for bioinformatics applications in IaaS. It enables application to output the results in a real time manner. It

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Li, Song, and Tian. "An Ontology-driven Cyberinfrastructure for Intelligent Spatiotemporal Question Answering and Open Knowledge Discovery." ISPRS International Journal of Geo-Information 8, no. 11 (2019): 496. http://dx.doi.org/10.3390/ijgi8110496.

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The proliferation of geospatial data from diverse sources, such as Earth observation satellites, social media, and unmanned aerial vehicles (UAVs), has created a pressing demand for cross-platform data integration, interoperation, and intelligent data analysis. To address this big data challenge, this paper reports our research in developing a rule-based, semantic-enabled service chain model to support intelligent question answering for leveraging the abundant data and processing resources available online. Four key techniques were developed to achieve this goal: (1) A spatial and temporal rea

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Sader, Kasim, Rishi Matadeen, Pablo Castro Hartmann, Tor Halsan, and Chris Schlichten. "Industrial cryo-EM facility setup and management." Acta Crystallographica Section D Structural Biology 76, no. 4 (2020): 313–25. http://dx.doi.org/10.1107/s2059798320002223.

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Cryo-electron microscopy (cryo-EM) has rapidly expanded with the introduction of direct electron detectors, improved image-processing software and automated image acquisition. Its recent adoption by industry, particularly in structure-based drug design, creates new requirements in terms of reliability, reproducibility and throughput. In 2016, Thermo Fisher Scientific (then FEI) partnered with the Medical Research Council Laboratory of Molecular Biology, the University of Cambridge Nanoscience Centre and five pharmaceutical companies [Astex Pharmaceuticals, AstraZeneca, GSK, Sosei Heptares and

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Croset, Samuel, Joachim Rupp, and Martin Romacker. "Flexible data integration and curation using a graph-based approach." Bioinformatics 32, no. 6 (2015): 918–25. http://dx.doi.org/10.1093/bioinformatics/btv644.

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Abstract Motivation: The increasing diversity of data available to the biomedical scientist holds promise for better understanding of diseases and discovery of new treatments for patients. In order to provide a complete picture of a biomedical question, data from many different origins needs to be combined into a unified representation. During this data integration process, inevitable errors and ambiguities present in the initial sources compromise the quality of the resulting data warehouse, and greatly diminish the scientific value of the content. Expensive and time-consuming manual curation

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Soltanian-Zadeh, Somayyeh, Kaan Sahingur, Sarah Blau, Yiyang Gong, and Sina Farsiu. "Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning." Proceedings of the National Academy of Sciences 116, no. 17 (2019): 8554–63. http://dx.doi.org/10.1073/pnas.1812995116.

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Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies for discovery of neuronal coding properties. Here, to exploit the full spatiotemporal information in two-photon calcium imaging movies, we propose a 3D convolutional neural network to identify and segment active neurons. By utilizing a variety of two-photon microscopy datasets, we show that our method outperforms state-of-the-art techniques and is

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Sutliff, Aimee K., Martine Saint-Cyr, Audrey E. Hendricks, et al. "Lipidomics-Based Comparison of Molecular Compositions of Green, Yellow, and Red Bell Peppers." Metabolites 11, no. 4 (2021): 241. http://dx.doi.org/10.3390/metabo11040241.

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Identifying and annotating the molecular composition of individual foods will improve scientific understanding of how foods impact human health and how much variation exists in the molecular composition of foods of the same species. The complexity of this task includes distinct varieties and variations in natural occurring pigments of foods. Lipidomics, a sub-field of metabolomics, has emerged as an effective tool to help decipher the molecular composition of foods. For this proof-of-principle research, we determined the lipidomic profiles of green, yellow and red bell peppers (Capsicum annuum

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Bradner, James E., John P. Shen, Ethan O. Perlstein, et al. "Discovery and Characterization of Small Molecule Inhibitors of Autophagy for Cancer Therapy." Blood 108, no. 11 (2006): 2606. http://dx.doi.org/10.1182/blood.v108.11.2606.2606.

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Abstract Autophagy is an evolutionarily conserved process by which cellular structures may be degraded for ongoing biogenesis. Following nutrient deprivation, autophagy functions critically to replenish metabolic precursors by recycling nonessential structures. Recent evidence has identified the induction of autophagy following growth factor withdrawal in preclinical models of cancer. As the autophagic response in these studies requires abrogation of apoptotic effectors, autophagy emerges as a relevant cell survival mechanism in human cancer. While growth factor depletion is an uncommon approa

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Damper, R. I. "Self-learning and self-organization as tools for speech research." Behavioral and Brain Sciences 21, no. 2 (1998): 262–63. http://dx.doi.org/10.1017/s0140525x9825117x.

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Locus equations offer promise for an understanding of at least some aspects of perceptual invariance in speech, but they were discovered almost fortuitously. With the present availability of powerful machine learning algorithms, ignorance-based automatic discovery procedures are starting to supplant knowledge-based scientific inquiry. Principles of self-learning and self-organization are powerful tools for speech research but remain somewhat under-utilized.

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KIRCHNER, DANIEL, CHRISTOPH BENZMÜLLER, and EDWARD N. ZALTA. "MECHANIZING PRINCIPIA LOGICO-METAPHYSICA IN FUNCTIONAL TYPE-THEORY." Review of Symbolic Logic 13, no. 1 (2019): 206–18. http://dx.doi.org/10.1017/s1755020319000297.

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AbstractPrincipia Logico-Metaphysica contains a foundational logical theory for metaphysics, mathematics, and the sciences. It includes a canonical development of Abstract Object Theory [AOT], a metaphysical theory (inspired by ideas of Ernst Mally, formalized by Zalta) that distinguishes between ordinary and abstract objects.This article reports on recent work in which AOT has been successfully represented and partly automated in the proof assistant system Isabelle/HOL. Initial experiments within this framework reveal a crucial but overlooked fact: a deeply-rooted and known paradox is reintro

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Boateng, Samuel, Kwang Ryeol Lee, Deepika, Haneol Cho, Kyu Hwan Lee, and Chansoo Kim. "KIST-NOMAD - a Repository to Manage Large Amounts of Computational Materials Science Data." Korean Journal of Metals and Materials 58, no. 10 (2020): 728–39. http://dx.doi.org/10.3365/kjmm.2020.58.10.728.

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We introduce the Korea Institute of Science and Technology-Novel Materials Discovery (KISTNOMAD) platform, a materials data repository. We describe its functionality and novel features from an academic viewpoint. It is a data repository designed for computational material science, especially focusing on managing and sharing the results of molecular dynamics simulation results as well as quantum mechanical computations. It consists of three main components: a database, file storage, and web-based front end. The database hosts material properties, which are extracted from the computational resul

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Sateli, Bahar, Felicitas Löffler, Birgitta König-Ries, and René Witte. "ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles." PeerJ Computer Science 3 (July 3, 2017): e121. http://dx.doi.org/10.7717/peerj-cs.121.

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Motivation Scientists increasingly rely on intelligent information systems to help them in their daily tasks, in particular for managing research objects, like publications or datasets. The relatively young research field of Semantic Publishing has been addressing the question how scientific applications can be improved through semantically rich representations of research objects, in order to facilitate their discovery and re-use. To complement the efforts in this area, we propose an automatic workflow to construct semantic user profiles of scholars, so that scholarly applications, like digit

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Deneault, James R., Jorge Chang, Jay Myung, et al. "Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer." MRS Bulletin 46, no. 7 (2021): 566–75. http://dx.doi.org/10.1557/s43577-021-00051-1.

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Abstract Materials exploration and development for three-dimensional (3D) printing technologies is slow and labor-intensive. Each 3D printing material developed requires unique print parameters be learned for successful part fabrication, and sub-optimal settings often result in defects or fabrication failure. To address this, we developed the Additive Manufacturing Autonomous Research System (AM ARES). As a preliminary test, we tasked AM ARES with autonomously modulating four print parameters to direct-write single-layer print features that matched target specifications. AM ARES employed autom

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Gaffield, Chad, and Peter Baskerville. "The Automated Archivist: Interdisciplinarity and the Process of Historical Research." Social Science History 9, no. 2 (1985): 167–84. http://dx.doi.org/10.1017/s0145553200020435.

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The basis of most historical research including social science history is quite unsystematic. This characteristic results from the ways in which researchers find and choose historical sources for examination. Despite claims to be systematic, historians still tend to identify relevant evidence in impressionistic ways. Many social science histories involve the rigorous study of a source happily discovered by chance. Of course, access to the past has never been easy. Researchers have always lamented a presumed lack of “essential” records. Nonetheless, the actual ways we discover existing evidence

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Williams, Kevin, Elizabeth Bilsland, Andrew Sparkes, et al. "Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases." Journal of The Royal Society Interface 12, no. 104 (2015): 20141289. http://dx.doi.org/10.1098/rsif.2014.1289.

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There is an urgent need to make drug discovery cheaper and faster. This will enable the development of treatments for diseases currently neglected for economic reasons, such as tropical and orphan diseases, and generally increase the supply of new drugs. Here, we report the Robot Scientist ‘Eve’ designed to make drug discovery more economical. A Robot Scientist is a laboratory automation system that uses artificial intelligence (AI) techniques to discover scientific knowledge through cycles of experimentation. Eve integrates and automates library-screening, hit-confirmation, and lead generatio

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Fang, Debin, Haixia Yang, Baojun Gao, and Xiaojun Li. "Discovering research topics from library electronic references using latent Dirichlet allocation." Library Hi Tech 36, no. 3 (2018): 400–410. http://dx.doi.org/10.1108/lht-06-2017-0132.

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Purpose Discovering the research topics and trends from a large quantity of library electronic references is essential for scientific research. Current research of this kind mainly depends on human justification. The purpose of this paper is to demonstrate how to identify research topics and evolution in trends from library electronic references efficiently and effectively by employing automatic text analysis algorithms. Design/methodology/approach The authors used the latent Dirichlet allocation (LDA), a probabilistic generative topic model to extract the latent topic from the large quantity

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Vanegas, Jorge A., Sérgio Matos, Fabio González, and José L. Oliveira. "An Overview of Biomolecular Event Extraction from Scientific Documents." Computational and Mathematical Methods in Medicine 2015 (2015): 1–19. http://dx.doi.org/10.1155/2015/571381.

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This paper presents a review of state-of-the-art approaches to automatic extraction of biomolecular events from scientific texts. Events involving biomolecules such as genes, transcription factors, or enzymes, for example, have a central role in biological processes and functions and provide valuable information for describing physiological and pathogenesis mechanisms. Event extraction from biomedical literature has a broad range of applications, including support for information retrieval, knowledge summarization, and information extraction and discovery. However, automatic event extraction i

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Farshidi, Siamak, Xiaofeng Liao, Na Li, et al. "Knowledge sharing and discovery across heterogeneous research infrastructures." Open Research Europe 1 (June 14, 2021): 68. http://dx.doi.org/10.12688/openreseurope.13677.1.

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Research infrastructures play an increasingly essential role in scientific research. They provide rich data sources for scientists, such as services and software packages, via catalog and virtual research environments. However, such research infrastructures are typically domain-specific and often not connected. Accordingly, researchers and practitioners face fundamental challenges introduced by fragmented knowledge from heterogeneous, autonomous sources with complicated and uncertain relations in particular research domains. Additionally, the exponential growth rate of knowledge in a specific

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Tokatova, L. E., and E. A. Belousova. "National Corpus of the Russian Language (NCRL) in literary studies: practical application." Bulletin of the Karaganda University. Philology series 99, no. 3 (2020): 73–83. http://dx.doi.org/10.31489/2020ph3/73-83.

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Nowadays the analysis of literary text goes beyond its linear perusal, it requires its structural comprehension, correlation of primary and scientific interpretation. Modern automated information systems suggest wide opportunities for getting original scientific material. The article attempts to analyze the story «Crank» («Chudik») by V.M. Shuckshin in comparison with the writer’s other works by using the NCRL instrument. The notion «National Corpus of the Russian Language» is discovered as well as its purpose. While analyzing the composition, the following levels of analyses were taken into a

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Zatulovskyi, A. S., V. O. Shcheretskyi, and A. O. Shcheretskyi. "Thermal stability of nanoscale oxides and carbides of W and Zr in Cu-Al-Fe alloy." Journal of Achievements in Materials and Manufacturing Engineering 2, no. 90 (2018): 49–57. http://dx.doi.org/10.5604/01.3001.0012.8383.

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Purpose: of this paper is to discover phases evolution of nanoscale tungsten, zirconium oxides and carbides during heating up to 1200°C in contact with the copper alloy CuAl8Fe3. Design/methodology/approach: The main investigation methods are X-ray phase analysis and thermal analysis. The X-ray phase analysis is done by automated X-ray diffractometer DRON-3.0 with cobalt anode, the thermal analysis is done with synchronous thermal analyser STA 449F1 Jupiter (NETZSCH). Findings: The initial interactions’ temperatures for the carbides and oxides with copper alloy CuAl8Fe3, also temperatures of i

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MARTÍNEZ, GENARO J., ANDREW ADAMATZKY, and RAMON ALONSO-SANZ. "DESIGNING COMPLEX DYNAMICS IN CELLULAR AUTOMATA WITH MEMORY." International Journal of Bifurcation and Chaos 23, no. 10 (2013): 1330035. http://dx.doi.org/10.1142/s0218127413300358.

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Since their inception at Macy conferences in later 1940s, complex systems have remained the most controversial topic of interdisciplinary sciences. The term "complex system" is the most vague and liberally used scientific term. Using elementary cellular automata (ECA), and exploiting the CA classification, we demonstrate elusiveness of "complexity" by shifting space-time dynamics of the automata from simple to complex by enriching cells with memory. This way, we can transform any ECA class to another ECA class — without changing skeleton of cell-state transition function — and vice versa by ju

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Brembs, Björn. "Towards a scientific concept of free will as a biological trait: spontaneous actions and decision-making in invertebrates." Proceedings of the Royal Society B: Biological Sciences 278, no. 1707 (2010): 930–39. http://dx.doi.org/10.1098/rspb.2010.2325.

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Until the advent of modern neuroscience, free will used to be a theological and a metaphysical concept, debated with little reference to brain function. Today, with ever increasing understanding of neurons, circuits and cognition, this concept has become outdated and any metaphysical account of free will is rightfully rejected. The consequence is not, however, that we become mindless automata responding predictably to external stimuli. On the contrary, accumulating evidence also from brains much smaller than ours points towards a general organization of brain function that incorporates flexibl

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Arifin, Imron, Juharyanto Juharyanto, Sultoni Sultoni, et al. "Pendampingan Penulisan Artikel Ilmiah Layak Jurnal Nasional Ber-ISBN Berbasis Sitasi Online Bagi Tenaga Pendidik Se-Kabupaten Bondowoso." Jurnal KARINOV 3, no. 1 (2020): 16. http://dx.doi.org/10.17977/um045v3i1p16-21.

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Tujuan pengabdian masyarakat melalui program pendampingan sitasi berbasis mendeley dalam penulisan artikel layak jurnal bereputasi bagi tenaga pendidik se Kabupaten Bondowoso ini adalah membekali pengetahuan dan keterampilan menyusun artikel kepada para tenaga pendidik se Kabupaten Bondowoso. Luaran dari kegiatan pendampingan tersebut antara lain: artikel layak jurnal berbasis sitasi otomatis dengan plug in mendeley dan artikel pengabdian.Strategi pelaksanaan kegiatan ini antara lain workshop, penugasan, pendampingan individual, fasilitasi pencarian jurnal untuk penerbitan artikel. Strategi pe

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Aloisio, Giovanni, Massimo Cafaro, Euro Blasi, and Italo Epicoco. "The Grid Resource Broker, A Ubiquitous Grid Computing Framework." Scientific Programming 10, no. 2 (2002): 113–19. http://dx.doi.org/10.1155/2002/969307.

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Portals to computational/data grids provide the scientific community with a friendly environment in order to solve large-scale computational problems. The Grid Resource Broker (GRB) is a grid portal that allows trusted users to create and handle computational/data grids on the fly exploiting a simple and friendly web-based GUI. GRB provides location-transparent secure access to Globus services, automatic discovery of resources matching the user's criteria, selection and scheduling on behalf of the user. Moreover, users are not required to learn Globus and they do not need to write specialized

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Velichko, Alena, and Alexey Karpov. "Analytical review of automatic systems for depression detection by speech." Informatics and Automation 20, no. 3 (2021): 497–529. http://dx.doi.org/10.15622/ia.2021.3.1.

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In recent years the interest in automatic depression detection has grown within medical and scientific-technical communities. Depression is one of the most widespread mental illnesses that affects human life. In this review we present and analyze the latest researches devoted to depression detection. Basic notions related to the definition of depression were specified, the review includes both unimodal and multimodal corpora containing records of informants diagnosed with depression and control groups of non-depressed people. Theoretical and practical researches which present automated s

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Schwemmer, Carsten, and Oliver Wieczorek. "The Methodological Divide of Sociology: Evidence from Two Decades of Journal Publications." Sociology 54, no. 1 (2019): 3–21. http://dx.doi.org/10.1177/0038038519853146.

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Past research indicates that Sociology is a low-consensus discipline, where different schools of thought have distinct expectations about suitable scientific practices. This division of Sociology into different subfields is to a large extent related to methodology and choices between qualitative or quantitative research methods. Relying on theoretical constructs of the academic prestige economy, boundary demarcation and taste for research, we examine the methodological divide in generalist Sociology journals. Using automated text analysis for 8737 abstracts of articles published between 1995 a

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Gabetta, M., G. Milani, M. Bucalo, et al. "Supporting Translational Research on Inherited Cardiomyopathies through Information Technology." Methods of Information in Medicine 52, no. 02 (2013): 137–47. http://dx.doi.org/10.3414/me12-01-0046.

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SummaryObjectives: The INHERITANCE project, funded by the European Commission, is aimed at studying genetic or inherited Dilated cardiomyopathies (DCM) and at understanding the impact and management of the disease within families that suffer from heart conditions that are caused by DCMs. The biomedical informatics research activity of the project aims at implementing information technology solutions to support the project team in the different phases of their research, in particular in genes screening prioritization and new gene-disease association discovery.Methods: In order to manage the hug

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Frey, Jeremy. "Curation of Laboratory Experimental Data as Part of the Overall Data Lifecycle." International Journal of Digital Curation 3, no. 1 (2008): 44–62. http://dx.doi.org/10.2218/ijdc.v3i1.41.

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The explosion in the production of scientific data in recent years is placing strains upon conventional systems supporting integration, analysis, interpretation and dissemination of data and thus constraining the whole scientific process. Support for handling large quantities of diverse information can be provided by e-Science methodologies and the cyber-infrastructure that enables collaborative handling of such data. Regard needs to be taken of the whole process involved in scientific discovery. This includes the consideration of the requirements of the users and consumers further down the in

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Prkachin, Kenneth M. "Assessing Pain by Facial Expression: Facial Expression as Nexus." Pain Research and Management 14, no. 1 (2009): 53–58. http://dx.doi.org/10.1155/2009/542964.

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The experience of pain is often represented by changes in facial expression. Evidence of pain that is available from facial expression has been the subject of considerable scientific investigation. The present paper reviews the history of pain assessment via facial expression in the context of a model of pain expression as a nexus connecting internal experience with social influence. Evidence about the structure of facial expressions of pain across the lifespan is reviewed. Applications of facial assessment in the study of adult and pediatric pain are also reviewed, focusing on how such techni

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M, Jbireal J. "A PRACTICAL ATTEMPT FOR INTERPRETATION OF SYSMEX KX-21 BLOOD ANALYZER HISTOGRAMS AND FLAGS RESOLVING." Scientific Journal of Applied Sciences of Sabratha University 1, no. 1 (2018): 120–35. http://dx.doi.org/10.47891/sabujas.v1i1.120-135.

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The main principle of the automated blood analyzers is to get the quantity (count) of different blood components (parameters) in the peripheral blood samples. Additionally, in case of Sysmex KX-21 blood analyzer, the work performance includes also 3-part differential white blood cells (WBC) count represents eight parameters of the complete blood count (CBC). Extremely important to mention here that many of the analyzed information about the main blood corpuscular are provided in graphical forms called histograms. Remarkably, any abnormal results in the investigated blood parameters due to mult

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Chen, Wei, Pengmian Feng, and Fulei Nie. "iATP: A Sequence Based Method for Identifying Anti-tubercular Peptides." Medicinal Chemistry 16, no. 5 (2020): 620–25. http://dx.doi.org/10.2174/1573406415666191002152441.

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Background: Tuberculosis is one of the biggest threats to human health. Recent studies have demonstrated that anti-tubercular peptides are promising candidates for the discovery of new anti-tubercular drugs. Since experimental methods are still labor intensive, it is highly desirable to develop automatic computational methods to identify anti-tubercular peptides from the huge amount of natural and synthetic peptides. Hence, accurate and fast computational methods are highly needed. Methods and Results: In this study, a support vector machine based method was proposed to identify anti-tubercula

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Zhang, Lei, Yi Liu, Bingqi Li, Guoxin Zhang, and Songtao Zhang. "Study on Real-Time Simulation Analysis and Inverse Analysis System for Temperature and Stress of Concrete Dam." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/306165.

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In the concrete dam construction, it is very necessary to strengthen the real-time monitoring and scientific management of concrete temperature control. This paper constructs the analysis and inverse analysis system of temperature stress simulation, which is based on various useful data collected in real time in the process of concrete construction. The system can produce automatically data file of temperature and stress calculation and then achieve the remote real-time simulation calculation of temperature stress by using high performance computing techniques, so the inverse analysis can be c

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Jupatova, Gaļina, Iluta Arbidane, and Iveta Mietule. "ANALYSIS OF FALSE DOCUMENTS DETECTED AT THE BORDER CONTROL OF EUROPEAN UNION MEMBER STATES AND THE PROSPECTIVE METHODS FOR THE DETECTION OF COUNTERFEITS." BORDER SECURITY AND MANAGEMENT 3, no. 8 (2020): 135–45. http://dx.doi.org/10.17770/bsm.v3i8.5366.

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The subject of the paper "Analysis of False Documents Detected at the Border Control of European Union Member States and the Prospective Methods for the Detection of Counterfeits" is topical, as the verification of the authenticity of travel documents is the cornerstone of border controls; also, the interrelations between the techniques of producing false documents discovered in the EU Member States and the practical application of technologically new methods of document reproduction has not been extensively reviewed and evaluated in EU scientific literature and current information materials.

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Jupatova, Gaļina, Iluta Arbidane, and Iveta Mietule. "ANALYSIS OF FALSE DOCUMENTS DETECTED AT THE BORDER CONTROL OF EUROPEAN UNION MEMBER STATES AND THE PROSPECTIVE METHODS FOR THE DETECTION OF COUNTERFEITS." BORDER SECURITY AND MANAGEMENT 3, no. 8 (2020): 135–45. http://dx.doi.org/10.17770/bsm.v3i8.5366.

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The subject of the paper "Analysis of False Documents Detected at the Border Control of European Union Member States and the Prospective Methods for the Detection of Counterfeits" is topical, as the verification of the authenticity of travel documents is the cornerstone of border controls; also, the interrelations between the techniques of producing false documents discovered in the EU Member States and the practical application of technologically new methods of document reproduction has not been extensively reviewed and evaluated in EU scientific literature and current information materials.

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Griol-Barres, Israel, Sergio Milla, Antonio Cebrián, Huaan Fan, and Jose Millet. "Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing." Sustainability 12, no. 19 (2020): 7848. http://dx.doi.org/10.3390/su12197848.

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Organizations, companies and start-ups need to cope with constant changes on the market which are difficult to predict. Therefore, the development of new systems to detect significant future changes is vital to make correct decisions in an organization and to discover new opportunities. A system based on business intelligence techniques is proposed to detect weak signals, that are related to future transcendental changes. While most known solutions are based on the use of structured data, the proposed system quantitatively detects these signals using heterogeneous and unstructured information

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Bekhterev, V. M. "Chronicle of scientific gatherings of doctors of the St. Petersburg clinic for mental and nervous diseases. Protocol of appointment 11/4 96 years." Neurology Bulletin V, no. 3 (2020): a11—a17. http://dx.doi.org/10.17816/nb46752.

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Chairman prof. Bekhterev, attended by: Erlitskii, Rosenbakh, Ostankov, Zhukovskii, Osipov, Telyatnik, Gize, Borispolskii, Trapeznikov, Doulov, Blumenau, Dobrotvorskii.Dr. Dobrotvorskiy. Demonstration of a patient with amnesia for the entire period of mental disorder. The rapporteur introduced a patient who, upon recovery, discovered a complete loss of memory for the period from October 94 to March 96; although until August 1/2, 1995, he was considered healthy and fulfilled his official duties, however, since February 1995, he was striving for solitude. From August 95 to March 96, the patient d

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Barans, C. A., M. D. Arendt, T. Moore, and D. Schmidt. "Remote Video Revisited: A Visual Technique for Conducting Long-term Monitoring of Reef Fishes on the Continental Shelf." Marine Technology Society Journal 39, no. 2 (2005): 110–18. http://dx.doi.org/10.4031/002533205787443917.

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Fisheries observation data collected at similar times and frequencies as hydrographic data could contribute significantly to the development of models for predicting responses of fish assemblages to changing environmental conditions. Traditional collections of fishery observation data rarely occur with sufficient temporal replication for modeling; however, remotely collected underwater video data represents a promising remedy. In August 1999, an experimental underwater fish habitat and video data collection system were established on the middle continental shelf off the coast of Georgia. Short

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