AN APPROACH TO DEVELOPING AN INFORMATION RESEARCH ENVIRONMENT FOR ANALYSIS OF SCIENTIFIC INFORMATION RESOURCES AND CREATING ANNOTATED CORPORA

В статье предложен подход к построению исследовательской среды для интеграции информационных ресурсов определенной области знаний и поддержки научных исследований. Особенностью подхода является комбинация в рамках единой информационной системы, основанных на онтологиях средств представления, систематизации и аннотирования интегрированных в систему ресурсов, а также ориентация на совместную работу специалистов над созданием размеченного корпуса. В статье приведен пример применения предложенного подхода для разработки информационной системы. The paper presents an approach to the development of a research environment, facilitating an integration of information resources dedicated to a certain scientific domain and supporting scientific research. The main feature of the approach is combining an ontology-based tools for presenting and annotating scientific information resources within a single information system. The development of the information system is aimed towards the joint work of researchers on the creating annotated corpora of resources. The paper provides an example of the proposed approach being put into practice when developing an information system.

Noise Resistant Multidimensional Data Fusion via Quasi-Cliques on Hypergraphs

Cross-matching data stored on separate files is an everyday activity in the scientific domain. However sometimes the relation between attributes may not be obvious. The discovery of foreign keys on relational databases is a similar problem. Thus techniques devised for this problem can be adapted. Nonetheless, given the different nature of the data, which can be subject to uncertainty, this adaptation is not trivial.<br>This paper firstly introduces the concept of Equally-Distributed Dependencies, which is similar to the Inclusion Dependencies from the relational domain. We describe a correspondence in order to bridge existing ideas. We then propose PresQ: a new algorithm based on the search of maximal quasi-cliques on hyper-graphs to make it more robust to the nature of uncertain numerical data. This algorithm has been tested on three public datasets, showing promising results both in its capacity to find multidimensional equally-distributed sets of attributes and in run-time.

Noise Resistant Multidimensional Data Fusion via Quasi-Cliques on Hypergraphs

Cross-matching data stored on separate files is an everyday activity in the scientific domain. However sometimes the relation between attributes may not be obvious. The discovery of foreign keys on relational databases is a similar problem. Thus techniques devised for this problem can be adapted. Nonetheless, given the different nature of the data, which can be subject to uncertainty, this adaptation is not trivial.<br>This paper firstly introduces the concept of Equally-Distributed Dependencies, which is similar to the Inclusion Dependencies from the relational domain. We describe a correspondence in order to bridge existing ideas. We then propose PresQ: a new algorithm based on the search of maximal quasi-cliques on hyper-graphs to make it more robust to the nature of uncertain numerical data. This algorithm has been tested on three public datasets, showing promising results both in its capacity to find multidimensional equally-distributed sets of attributes and in run-time.

Noise Generation and Acoustic Impact of Free Surface Hydropower Machines: Focus on Water Wheels and Emerging Challenges

The noise generated by free surface hydropower machines, e.g., water wheels, has led to complaints and to restrictions in their operation in urban areas. This problem generally occurs when water wheels are not well designed and are installed without expertise. Despite the relevance of the problem, and the growing interest in the use of water wheels at existing low head barriers, the acoustic impact of water wheels has not yet been properly addressed by the scientific community. Therefore, in this manuscript, the importance of the problem and the related scientific challenges are discussed, supported by case studies and theoretical considerations. A literature review on the topic is carried out, although little information is available in the scientific domain. The aim of this work is to increase the awareness on this problem, in order to stimulate future research and to suggest useful guidelines for future water wheel projects, thereby increasing the water wheel potential and reducing noise disturbance for people.

Review: Chronopharmacology; A Biological Rhythm

Chronopharmacology is the study of how the effects of drugs vary with biological timing and endogenous periodicities. The goal is to improve our understanding of periodic and thus predictable (e.g. circadian) changes in both desired effects (chronoeffectiveness) and tolerance (chronotolerance) of medications. Dosing time-dependent changes also include quantification of parameters characterizing endogenous circadian rhythms (CR), in terms of pharmacologic effects, e.g. the 24-h adjusted mean (M), the period , the amplitude (A, the peak-to-trough difference), and the acrophase , the peak time location in the 24-h scale). Chronopharmacology became recognized as a scientific domain of investigation only in the early 1970s. For conventionally trained pharmacologists, it was not clear that predictable temporal variations of effects and disposition of agents (e.g. medications, hormones, and toxic substances) are governed by endogenous biological rhythms rather than by changes of external factors. On the 24-h scale (as well as on the yearly scale) there are peaks and troughs of physiological variables that are not randomly distributed; their respective locations correspond to a temporal organization controlled by a set of pacemakers (so-called biological clocks) became recognized as a scientific domain of investigation only in the early 1970s.

Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production

Pangeo Forge is a new community-driven platform that accelerates science by providing high-level recipe frameworks alongside cloud compute infrastructure for extracting data from provider archives, transforming it into analysis-ready, cloud-optimized (ARCO) data stores, and providing a human- and machine-readable catalog for browsing and loading. In abstracting the scientific domain logic of data recipes from cloud infrastructure concerns, Pangeo Forge aims to open a door for a broader community of scientists to participate in ARCO data production. A wholly open-source platform composed of multiple modular components, Pangeo Forge presents a foundation for the practice of reproducible, cloud-native, big-data ocean, weather, and climate science without relying on proprietary or cloud-vendor-specific tooling.

One Conference, Three Proceedings – Which Papers Should I Submit and How? A Publication Strategy for Young Scientists Regarding the GMDS Annual Conference and Beyond (Editorial)

The primary intention of any scientific work is to share the gained knowledge and to contribute to the knowledge and progress in the scientific domain. The wide range of journals and conferences, each with specific submission requirements, can be difficult to navigate, especially for young scientists without extensive experience. But a suitable publication strategy can be helpful, especially at the beginning of a scientific career. Using the annual conference of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) e.V. as an example, this editorial highlights fundamental differences, advantages and disadvantages, as well as assistance in selecting the right form of submission.

Novel scientific methods in court

In recent decades the use of forensic science in investigations and therefore its subsequent presentation within the courts has increased exponentially, fuelled by an increase in scientific advances, development of databases and greater access to scientists and their expertise. This explosion in the use of forensic evidence has not been limited to one single scientific domain, as there are a broad range of scientific disciplines, encompassed by the general umbrella term' forensic science'. Many of these involve commonly applied methodologies and are accepted by the courts with limited scrutiny. Where tensions exist concerning the use of science in the courtroom is when novel or emerging sciences and scientific techniques are introduced. This may be particularly evident when the demands of the investigatory phase, where those working want to apply all possible tools at their disposal to gather as much evidence as possible and the needs of the courts, where the evidence must scientifically robust and admissible for it to be presented before a jury, come together. This paper examines the implications for the court for emerging or novel sciences and scientific techniques. In such cases, the potential rewards of implementing the scientific process and the information these may contribute to an investigation provides a temptation to investigators to push for their operational use, with the unintended consequence of posing an issue to the court when considering whether to admit the evidence into the judicial process.

Predictability in Contemporary Medicine

Medical practice is increasingly coming under the guidance of statistical-mathematical models that are, undoubtedly, valuable tools but are also only a partial representation of reality. Indeed, given that statistics may be more or less adequate, a model is still a subjective interpretation of the researcher and is also influenced by the historical context in which it operates. From this opinion, I will provide a short historical excursus that retraces the advent of probabilistic medicine as a long process that has a beginning that should be sought in the discovery of the complexity of disease. By supporting the belonging of this evolution to the scientific domain it is also acknowledged that the underlying model can be imperfect or fallible and, therefore, confutable as any product of science. Indeed, it seems non-trivial here to recover these concepts, especially today where clinical decisions are entrusted to practical guidelines, which are a hybrid product resulting from the aggregation of multiple perspectives, including the probabilistic approach, to disease. Finally, before the advent of precision medicine, by limiting the use of guidelines to the original consultative context, an aged approach is supported, namely, a relationship with the individual patient.