Scientix 10th SPNE Brussels 26 Feb 2016: Scientix Projects Support PilotBrussels, Belgium
Presentation of the Scientix Projects Support Pilot by Adina Nistor, held during the 10th Scientix Projects Networking Event, Brussels, 26 February 2016
EUscreenXL, From access towards curation and creative partnerships
Marco Rendina, Istituto Luce Cinecittà, Maria Drabczyk, Polish National Audiovisual Archive
Scientix 10th SPNE Brussels 26 Feb 2016: Scientix Projects Support PilotBrussels, Belgium
Presentation of the Scientix Projects Support Pilot by Adina Nistor, held during the 10th Scientix Projects Networking Event, Brussels, 26 February 2016
EUscreenXL, From access towards curation and creative partnerships
Marco Rendina, Istituto Luce Cinecittà, Maria Drabczyk, Polish National Audiovisual Archive
EHRI Project: Developing a Pan-European Archival Infrastructure for Holocaust...EHRI
Presentation about EHRI (the European Holocaust Research Infrastructure), held at the 2017 ALA-ICA Conference in Mexico City on 27 November 2017, by Reto Speck. The presentation focusses on international collaboration.
DM2E Community building (Lieke Ploeger – Open Knowledge) at Enabling humanities research in the Linked Open Web – DM2E final event (11 December 2014, Navacchio, Italy)
EHRI Project: Developing a Pan-European Archival Infrastructure for Holocaust...EHRI
Presentation about EHRI (the European Holocaust Research Infrastructure), held at the 2017 ALA-ICA Conference in Mexico City on 27 November 2017, by Reto Speck. The presentation focusses on international collaboration.
DM2E Community building (Lieke Ploeger – Open Knowledge) at Enabling humanities research in the Linked Open Web – DM2E final event (11 December 2014, Navacchio, Italy)
Présentation par Anne Réach-Ngô du projet EVEille (Exploration et Valorisation Electroniques de corpus en SHS) porté par Anne Réach-Ngô, Marine Parra et Régine Battiston.
Governing Pooled Knowledge Resources with special attention to the fields of medicine and the environment.
SEPTEMBER 5-7, 2014
New York University School of Law
New York, New York USA
IASCKC.NYUENGELBERG.ORG
How are knowledge, information, and other shared intellectual resources governed? Building upon the successful 2012 global thematic IASC conference on knowledge commons, this 2nd conference aims to take stock of the latest developments in the interdisciplinary study of knowledge commons. The conference will seek to better understand how knowledge commons work, where they come from, what contributes to their durability and effectiveness, and what undermines them. This year’s program will highlight knowledge commons in the fields of medicine and the environment by devoting special
paper tracks and policy sessions to those topics.
SUBMISSION DEADLINE: FEBRUARY 28, 2014
Recent advances in the project EXCITE – Extraction of Citations from PDF Docu...GESIS
Workshop on Open Citations
SEPTEMBER 3-5, 2018 | BOLOGNA, ITALY
Presentation of the EXCITE project
Demo system: https://excite.informatik.uni-stuttgart.de/excite
Contextualised Browsing in a Digital Library’s Living LabGESIS
Contextualisation has proven to be effective in tailoring
search results towards the users’ information need. While this
is true for a basic query search, the usage of contextual session
information during exploratory search especially on the level of
browsing has so far been underexposed in research. In this paper, we present two approaches that contextualise browsing on the level of structured metadata in a Digital Library (DL), (1) one variant bases on document similarity and (2) one variant utilises implicit session information, such as queries and different document metadata encountered during the session of a users. We evaluate our
approaches in a living lab environment using a DL in the social
sciences and compare our contextualisation approaches against
a non-contextualised approach. For a period of more than three
months we analysed 47,444 unique retrieval sessions that contain search activities on the level of browsing. Our results show that a contextualisation of browsing significantly outperforms our baseline in terms of the position of the first clicked item in the result set.
The mean rank of the first clicked document (measured as mean first relevant - MFR) was 4.52 using a non-contextualised ranking compared to 3.04 when re-ranking the result lists based on similarity to the previously viewed document. Furthermore, we observed that both contextual approaches show a noticeably higher clickthrough rate. A contextualisation based on document similarity leads to almost twice as many document views compared to the non-contextualised ranking.
Opening Scholarly Communication in Social Sciences by Connecting Collaborativ...GESIS
The objective of the OSCOSS research project on "Opening Scholarly Communication in the Social Sciences" is to build a coherent collaboration environment that facilitates scholarly communication workflows of social scientists in the roles of authors, reviewers, editors and readers. This paper presents the implementation of the core of this environment: the integration of the Fidus Writer academic word processor with the Open Journal Systems (OJS) submission and review management system.
Using co-authorship networks for author name disambiguationGESIS
With the increasing size of digital libraries (DLs) it has become a challenge to identify author names correctly and assign publications to them. The situation becomes more critical when different persons share the same name (homonym problem) or when the names of authors are presented in several different ways (synonym problem). This paper focuses on homonym names in the computer science bibliography DBLP. The goal of this study is to implement and evaluate a method which uses co-authorship networks in order to disambiguate homonym names, especially common names. The results show that the implemented method has a good performance and can be used for author name disambiguation of sparse bibliographic records.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
41st European Conference on Information Retrieval (ECIR 2019)
1. 41st European Conference on Information Retrieval
in Cologne, Germany, on 14th to 18th April 2019
ecir2019.org @ecir2019
2. Organizers
General Chairs
– Norbert Fuhr (Universität Duisburg-Essen, Germany)
– Philipp Mayr (GESIS – Leibniz Institute for the Social
Sciences, Germany)
Program Chairs
– Leif Azzopardi (University of Strathclyde, UK)
– Benno Stein (Bauhaus-Universität Weimar, Germany)
Short Paper & Poster Chairs
– Claudia Hauff (Delft University of Technology, The
Netherlands)
– Djoerd Hiemstra (University of Twente, The Netherlands)
Student Mentorship Chairs
– Laura Dietz (University of New Hampshire, USA)
– Ahmet Aker (Universität Duisburg-Essen, Germany)
Demo Chairs
– Christina Lioma (University of Copenhagen, Denmark)
– Dagmar Kern (GESIS – Leibniz Institute for the Social
Sciences, Germany)
Workshop Chairs
– Diane Kelly (University of Tennessee, USA)
– Andreas Rauber (Vienna University of Technology,
Austria)
Tutorial Chairs
– Guillaume Cabanac (University of Toulouse, France)
– Suzan Verberne (Leiden University, The Netherlands)
Industry Day Chair(s)
– Udo Kruschwitz (University of Essex, UK)
Publicity Chair(s)
– Ingo Frommholz (University of Bedfordshire, UK)
● Workshops/Tutorials: 14th April 2019
● Main conference: 15th – 17th April 2019
● Industry day: 18th April 2019
5. Important dates
● Mentorship program deadline: 21 August 2018
● Workshop/Tutorial proposals: 11 September 2018
● Full papers: 9 October 2018
● Posters/Demos: 23 October 2018
● Notification of acceptance for workshops/tutorials: 19 October 2018
● Notification of acceptance for papers/posters/demos: 4 December 2018
● Open registration: mid December 2018
● Full papers/posters/demos camera ready: 15 January 2019
● Author registration: 15 January 2019
● Early registration end: 19 February 2019
6. Novelty
● Emerging Topics:
conversational and intelligent search agents, cultural and social informatics, early risk
prediction, digital text forensics, eHealth, incident streams, living lab evaluations, life and
biodiversity retrieval, search as learning, precision medicine.
● Extended Reproducibility Track
○ Replication experiments
○ Performance prediction: measures, performance analysis, application determinants,
performance models
● CLEF boaster + poster session planned (http://www.centre-eval.org/)
● Information Retrieval Journal (IRJ) - ECIR Partnership Agreement (official in
2020 - tested at ECIR 2019)