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  1. Article ; Online: Infant food users' perceptions of safety: A web-based analysis approach.

    Aline, Sherman / Hubert, Gilles / Pitarch, Yoann / Thomopoulos, Rallou

    Frontiers in artificial intelligence

    2023  Volume 6, Page(s) 1080950

    Abstract: This paper aims to explore consumer beliefs about health hazards in infant foods by analyzing data gathered from the web, focusing on forums for parents in the UK. After selecting a subset of posts and classifying them by topic, according to the food ... ...

    Abstract This paper aims to explore consumer beliefs about health hazards in infant foods by analyzing data gathered from the web, focusing on forums for parents in the UK. After selecting a subset of posts and classifying them by topic, according to the food product discussed and the health hazard discussed, two types of analyses were performed. Pearson correlation of term-occurrences highlighted what hazard-product pairs are most prevalent. Ordinary Least Squares (OLS) regression performed on sentiment measures generated from the texts provided significant results indicating positive or negative sentiment, objective or subjective language, and confident or unconfident modality associated with different food products and health hazards. The results allow comparison between perceptions obtained in different countries in Europe and may lead to recommendations concerning information and communication priorities.
    Language English
    Publishing date 2023-02-17
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2624-8212
    ISSN (online) 2624-8212
    DOI 10.3389/frai.2023.1080950
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: TSSuBERT

    Dusart, Alexis / Pinel-Sauvagnat, Karen / Hubert, Gilles

    Tweet Stream Summarization Using BERT

    2021  

    Abstract: The development of deep neural networks and the emergence of pre-trained language models such as BERT allow to increase performance on many NLP tasks. However, these models do not meet the same popularity for tweet summarization, which can probably be ... ...

    Abstract The development of deep neural networks and the emergence of pre-trained language models such as BERT allow to increase performance on many NLP tasks. However, these models do not meet the same popularity for tweet summarization, which can probably be explained by the lack of existing collections for training and evaluation. Our contribution in this paper is twofold : (1) we introduce a large dataset for Twitter event summarization, and (2) we propose a neural model to automatically summarize huge tweet streams. This extractive model combines in an original way pre-trained language models and vocabulary frequency-based representations to predict tweet salience. An additional advantage of the model is that it automatically adapts the size of the output summary according to the input tweet stream. We conducted experiments using two different Twitter collections, and promising results are observed in comparison with state-of-the-art baselines.

    Comment: UNDER SUBMISSION
    Keywords Computer Science - Information Retrieval
    Subject code 410
    Publishing date 2021-06-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: The landscape of natural product diversity and their pharmacological relevance from a focus on the Dictionary of Natural Products®

    Chassagne, François / Cabanac, Guillaume / David, Bruno / Hubert, Gilles / Marti, Guillaume

    Phytochemistry reviews. 2019 June, v. 18, no. 3

    2019  

    Abstract: Nature is considered a prolific source of diverse biologically active chemotypes. While most reviews have focused on the characteristics of the chemical backbones of natural products (NPs), few have tried to provide an overview of their origins (the ... ...

    Abstract Nature is considered a prolific source of diverse biologically active chemotypes. While most reviews have focused on the characteristics of the chemical backbones of natural products (NPs), few have tried to provide an overview of their origins (the living organisms in which they are produced), chemical classes, and biological activities. This review discusses the current knowledge on NP diversity by focusing on the Dictionary of Natural Products® (DNP). We datamined the 300,000 NPs covered by the DNP to reveal relevant, albeit dormant, knowledge about NP diversity. This holistic picture of NPs allows us to discuss the most abundant biological sources of NPs investigated in relation to their chemical features and biological activities. In a nutshell, a large part of NPs originated from plants (67%), especially from the Compositae and Leguminosae families. Among all kingdoms, NPs isolated from Streptomyces spp. were largely represented, while terpenoids and alkaloids were the two most represented chemical classes. Out of all NPs documented, only 3882 were reported to be bioactive (1163 from plants and 1006 from bacteria), with antibacterial, antibiotics, and antineoplastic agents being the most frequent therapeutic classes. In this paper, we also address the advantages and limitations of NP research from a pharmaceutical industry perspective. This work will provide useful insights and guidance to researchers involved in drug discovery from NPs.
    Keywords alkaloids ; antibiotics ; antineoplastic agents ; Asteraceae ; bacteria ; bioactive properties ; chemotypes ; Fabaceae ; landscapes ; pharmaceutical industry ; Streptomyces ; terpenoids ; therapeutics
    Language English
    Dates of publication 2019-06
    Size p. 601-622.
    Publishing place Springer Netherlands
    Document type Article
    Note Review
    ZDB-ID 2065661-0
    ISSN 1572-980X ; 1568-7767
    ISSN (online) 1572-980X
    ISSN 1568-7767
    DOI 10.1007/s11101-019-09606-2
    Database NAL-Catalogue (AGRICOLA)

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  4. Book ; Online: Semantic Modelling of Organizational Knowledge as a Basis for Enterprise Data Governance 4.0 -- Application to a Unified Clinical Data Model

    Oliveira, Miguel AP / Manara, Stephane / Molé, Bruno / Muller, Thomas / Guillouche, Aurélien / Hesske, Lysann / Jordan, Bruce / Hubert, Gilles / Kulkarni, Chinmay / Jagdev, Pralipta / Berger, Cedric R.

    2023  

    Abstract: Individuals and organizations cope with an always-growing amount of data, which is heterogeneous in its contents and formats. An adequate data management process yielding data quality and control over its lifecycle is a prerequisite to getting value out ... ...

    Abstract Individuals and organizations cope with an always-growing amount of data, which is heterogeneous in its contents and formats. An adequate data management process yielding data quality and control over its lifecycle is a prerequisite to getting value out of this data and minimizing inherent risks related to multiple usages. Common data governance frameworks rely on people, policies, and processes that fall short of the overwhelming complexity of data. Yet, harnessing this complexity is necessary to achieve high-quality standards. The latter will condition any downstream data usage outcome, including generative artificial intelligence trained on this data. In this paper, we report our concrete experience establishing a simple, cost-efficient framework that enables metadata-driven, agile and (semi-)automated data governance (i.e. Data Governance 4.0). We explain how we implement and use this framework to integrate 25 years of clinical study data at an enterprise scale in a fully productive environment. The framework encompasses both methodologies and technologies leveraging semantic web principles. We built a knowledge graph describing avatars of data assets in their business context, including governance principles. Multiple ontologies articulated by an enterprise upper ontology enable key governance actions such as FAIRification, lifecycle management, definition of roles and responsibilities, lineage across transformations and provenance from source systems. This metadata model is the keystone to data governance 4.0: a semi-automatised data management process that considers the business context in an agile manner to adapt governance constraints to each use case and dynamically tune it based on business changes.
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Information Retrieval
    Subject code 004
    Publishing date 2023-10-20
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Analyse multigraduelle OLAP

    Hubert, Gilles / Teste, Olivier

    2010  

    Abstract: Decisional systems are based on multidimensional databases improving OLAP analyses. The paper describes a new OLAP operator named "BLEND" to perform multigradual analyses. The operation transforms multidimensional structures during querying in order to ... ...

    Abstract Decisional systems are based on multidimensional databases improving OLAP analyses. The paper describes a new OLAP operator named "BLEND" to perform multigradual analyses. The operation transforms multidimensional structures during querying in order to analyse measures according to various granularity levels, which are reorganised into a single parameter. We study valid combinations of the operation in the context of strict hierarchies. First experimentations implement the operation in an R-OLAP framework showing the slight cost of this operation.
    Keywords Computer Science - Databases
    Publishing date 2010-05-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Low molecular mass dinitrosyl nonheme-iron complexes up-regulate noradrenaline release in the rat tail artery

    Stoclet Jean-Claude / Munzel Thomas / Hubert Gilles / Kleschyov Andrei L / Bucher Bernard

    BMC Pharmacology, Vol 2, Iss 1, p

    2002  Volume 3

    Abstract: Abstract Background Dinitrosyl nonheme-iron complexes can appear in cells and tissues overproducing nitric oxide. It is believed that due to their chemical nature these species may be implicated in certain pathophysiological events. We studied the ... ...

    Abstract Abstract Background Dinitrosyl nonheme-iron complexes can appear in cells and tissues overproducing nitric oxide. It is believed that due to their chemical nature these species may be implicated in certain pathophysiological events. We studied the possible role of low molecular mass dinitrosyl iron complexes in the control of noradrenaline release in electrically stimulated rat tail artery. Results A model complex, dinitrosyl-iron-thiosulfate (at 1–10 μM) produced a concentration-dependent enhancement of electrical field stimulated [ 3 H]noradrenaline release (up to 2 fold). At the same time, dinitrosyl-iron-thiosulfate inhibited neurogenic vasoconstriction, consistent with its nitric oxide donor properties. A specific inhibitor of cyclic GMP dependent protein kinase, Rp-8pCPT-cGMPS, partially inhibited the effect of dinitrosyl-iron-thiosulfate on neurogenic vasoconstriction, but not on [ 3 H]noradrenaline release. Another model complex, dinitrosyl-iron-cysteine (at 3 μM) elicited similar responses as dinitrosyl-iron-thiosulfate. Conventional NO and NO+ donors such as sodium nitroprusside, S-nitroso-L-cysteine or S-nitroso-glutathione (at 10 μM) had no effect on [ 3 H]noradrenaline release, though they potently decreased electrically-induced vasoconstriction. The "false complex", iron(II)-thiosulfate showed no activity. Conclusions Low molecular mass iron dinitrosyl complexes can up-regulate the stimulation-evoked release of vascular [ 3 H]noradrenaline, apparently independently of their NO donor properties. This finding may have important implications in inflammatory tissues.
    Keywords Therapeutics. Pharmacology ; RM1-950 ; Medicine ; R ; DOAJ:Therapeutics ; DOAJ:Medicine (General) ; DOAJ:Health Sciences
    Subject code 333
    Language English
    Publishing date 2002-02-01T00:00:00Z
    Publisher BioMed Central
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Low molecular mass dinitrosyl nonheme-iron complexes up-regulate noradrenaline release in the rat tail artery.

    Kleschyov, Andrei L / Hubert, Gilles / Munzel, Thomas / Stoclet, Jean-Claude / Bucher, Bernard

    BMC pharmacology

    2002  Volume 2, Page(s) 3

    Abstract: Background: Dinitrosyl nonheme-iron complexes can appear in cells and tissues overproducing nitric oxide. It is believed that due to their chemical nature these species may be implicated in certain pathophysiological events. We studied the possible role ...

    Abstract Background: Dinitrosyl nonheme-iron complexes can appear in cells and tissues overproducing nitric oxide. It is believed that due to their chemical nature these species may be implicated in certain pathophysiological events. We studied the possible role of low molecular mass dinitrosyl iron complexes in the control of noradrenaline release in electrically stimulated rat tail artery.
    Results: A model complex, dinitrosyl-iron-thiosulfate (at 1-10 microM) produced a concentration-dependent enhancement of electrical field stimulated [3H]noradrenaline release (up to 2 fold). At the same time, dinitrosyl-iron-thiosulfate inhibited neurogenic vasoconstriction, consistent with its nitric oxide donor properties. A specific inhibitor of cyclic GMP dependent protein kinase, Rp-8pCPT-cGMPS, partially inhibited the effect of dinitrosyl-iron-thiosulfate on neurogenic vasoconstriction, but not on [3H]noradrenaline release. Another model complex, dinitrosyl-iron-cysteine (at 3 microM) elicited similar responses as dinitrosyl-iron-thiosulfate. Conventional NO and NO+ donors such as sodium nitroprusside, S-nitroso-L-cysteine or S-nitroso-glutathione (at 10 microM) had no effect on [3H]noradrenaline release, though they potently decreased electrically-induced vasoconstriction. The "false complex", iron(II)-thiosulfate showed no activity.
    Conclusions: Low molecular mass iron dinitrosyl complexes can up-regulate the stimulation-evoked release of vascular [3H]noradrenaline, apparently independently of their NO donor properties. This finding may have important implications in inflammatory tissues.
    MeSH term(s) Animals ; Arteries/drug effects ; Arteries/metabolism ; Cyclic GMP-Dependent Protein Kinases/metabolism ; Iron/pharmacology ; Male ; Molecular Weight ; Nitrogen Oxides/pharmacology ; Norepinephrine/metabolism ; Rats ; Rats, Wistar ; Tail/cytology ; Tritium
    Chemical Substances Nitrogen Oxides ; Tritium (10028-17-8) ; dinitrosyl iron complex (68586-27-6) ; Iron (E1UOL152H7) ; Cyclic GMP-Dependent Protein Kinases (EC 2.7.11.12) ; Norepinephrine (X4W3ENH1CV)
    Language English
    Publishing date 2002-02-08
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2050437-8
    ISSN 1471-2210 ; 1471-2210
    ISSN (online) 1471-2210
    ISSN 1471-2210
    DOI 10.1186/1471-2210-2-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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