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      • KCI등재
      • KCI등재

        Internal Dosimetry: State of the Art and Research Needed

        Francois Paquet 대한방사선방어학회 2022 방사선방어학회지 Vol.47 No.4

        Internal dosimetry is a discipline which brings together a set of knowledge , tools and procedures for calculating the dose received after incorporation of radionuclides into the body. Several steps are necessary to calculate the committed effective dose (CED) for workers or members of the public . Each step uses the best available knowledge in the field of radionuclide biokinetics , energy deposition in organs and tissues , the efficiency of radiation to cause a stochastic effect , or in the contributions of individual organs and tissues to overall detriment from radiation . In all these fields , knowledge is abundant and supported by many works initiated several decades ago. That makes the CED a very robust quantity, representing exposure for reference persons in reference situation of exposure and to be used for optimization and assessment of compliance with dose limits . However, the CED suffers from certain limitations , accepted by the International Commission on Radiological Protection (ICRP) for reasons of simplification . Some of its limitations deserve to be overcome and the ICRP is continuously working on this . Beyond the efforts to make the CED an even more reliable and precise tool , there is an increasing demand for personalized dosimetry, particularly in the medical field . To respond to this demand , currently available tools in dosimetry can be adjusted . However, this would require cou- pling these efforts with a better assessment of the individual risk , which would then have to consider the physiology of the persons concerned but also their lifestyle and medical history. Dosimetry and risk assessment are closely linked and can only be developed in parallel . This paper presents the state of the art of internal dosimetry knowledge and the limitations to be overcome both to make the CED more precise and to develop other dosimetric quantities , which would make it possible to better approximate the individual dose .

      • KCI등재
      • Etude biochimique de la fonte des fromages

        LEE, B. O.,PAQUET, D.,ALAIS, C. 全北大學校 附設 畜産開發硏究所 1987 畜産開發硏究報告 Vol.1 No.-

        A model system was used to measure the peptization rate during cheese processing. Capacity of peptization for orthophosphate is very limited and with polyphosphates peptization rate increases rapidly with concentration and polyphosphate polymerization. Important peptization is obtained with polyphosphates that contain at least 3 atoms of phosphorus. The influence of pH has been studied ; highest peptization is near pH 6.5. At lower pH, near isoelectric point of caseins, the peprization is very weak. There is a relationship between unsedimentable calcium proportion and peprization. The reduction of the size of protein aggregates during melting is confirmed.

      • P2Y1 receptor signaling is controlled by interaction with the PDZ scaffold NHERF-2

        Fam, S. R.,Paquet, M.,Castleberry, A. M.,Oller, H.,Lee, C. J.,Traynelis, S. F.,Smith, Y.,Yun, C. C.,Hall, R. A. Proceedings of the National Academy of Sciences 2005 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF Vol.102 No.22

        <P>P2Y(1) purinergic receptors (P2Y(1)Rs) mediate rises in intracellular Ca(2+) in response to ATP, but the duration and characteristics of this Ca(2+) response are known to vary markedly in distinct cell types. We screened the P2Y(1)R carboxyl terminus against a recently created proteomic array of PDZ (PSD-95/Drosophila Discs large/ZO-1 homology) domains and identified a previously unrecognized, specific interaction with the second PDZ domain of the scaffold NHERF-2 (Na(+)/H(+) exchanger regulatory factor type 2). Furthermore, we found that P2Y(1)R and NHERF-2 associate in cells, allowing NHERF-2-mediated tethering of P2Y(1)R to key downstream effectors such as phospholipase Cbeta. Finally, we found that coexpression of P2Y(1)R with NHERF-2 in glial cells prolongs P2Y(1)R-mediated Ca(2+) signaling, whereas disruption of the P2Y(1)R-NHERF-2 interaction by point mutations attenuates the duration of P2Y(1)R-mediated Ca(2+) responses. These findings reveal that NHERF-2 is a key regulator of the cellular activity of P2Y(1)R and may therefore determine cell-specific differences in P2Y(1)R-mediated signaling.</P>

      • The influence of anthropogenic disturbances and watershed morphological characteristics on Hg dynamics in Northern Quebec large boreal lakes

        Moingt, M.,Lucotte, M.,Paquet, S.,Beaulne, J.S. Techno-Press 2013 Advances in environmental research Vol.2 No.2

        Mercury (Hg) dynamics in the boreal environment have been a subject of concern in recent decades, due to the exposure of local populations to the contaminant. Land use, because of its impact on mercury inputs, has been highlighted as a key player in the sources and eventual concentrations of the heavy metal. In order to evaluate the impact of watershed disturbances on Hg dynamics in frequently fished, large boreal lakes, we studied sediment cores retrieved at the focal point of eight large lakes of Qu$\acute{e}$bec (Canada), six with watersheds affected by land uses such as logging and/or mining, and two with pristine watersheds, considered as reference lakes. Using a Geographical Information System (GIS), we correlated the recent evolution of land uses (e.g., logging and mining activities) and morphological characteristics of the watershed (e.g., mean slope of the drainage area, vegetation cover) to total Hg concentrations (THg) in sedimentary records. In each core, THg gradually increased over recent years with maximum values between 70 and 370 ng/g, the lowest mercury concentrations corresponding to the pristine lake cores. The Hg Anthropogenic Sedimentary Enrichment Factor (ASEF) values range from 2 to 15. Surprisingly, we noticed that the presence of intense land uses in the watershed does not necessarily correspond to noticeable increases of THg in lake sediments, beyond the normal increment that can be attributed to Hg atmospheric deposition since the beginning of the industrial era. Rather, the terrestrial Hg inputs of boreal lakes appear to be influenced by watershed characteristics such as mean slopes and vegetation cover.

      • SCOPUS

        Privacy Disclosure and Preservation in Learning with Multi-Relational Databases

        Guo, Hongyu,Viktor, Herna L.,Paquet, Eric Korean Institute of Information Scientists and Eng 2011 Journal of Computing Science and Engineering Vol.5 No.3

        There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

      • SCOPUS

        Privacy Disclosure and Preservation in Learning with Multi-Relational Databases

        Hongyu Guo,Herna L. Viktor,Eric Paquet 한국정보과학회 2011 Journal of Computing Science and Engineering Vol.5 No.3

        There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

      • Lignin signatures of vegetation and soils in tropical environments

        Belanger, E.,Lucotte, M.,Gregoire, B.,Moingt, M.,Paquet, S.,Davidson, R.,Mertens, F.,Passos, C.J.S.,Romana, C. Techno-Press 2015 Advances in environmental research Vol.4 No.4

        The few lignin biomarker studies conducted in tropical environments are hampered by having to use references signatures established for plants and soils characteristic of the temperate zone. This study presents a lignin biomarker analysis (vanillyls (V), p-hydroxyls (P), syringyls (S), cinnamyls (C)) of the dominant plant species and soil horizons as well as an analysis of the interrelated terrigenous organic matter (TOM) dynamics between vegetation and soil of the $Tapaj{\acute{o}}s$ river region, an active colonization front in the Brazilian Amazon. We collected and analyzed samples from 17 fresh dominant plant species and 48 soil cores at three depths (0-5 cm, 20-25 cm, 50-55 cm) from primary rainforest, fallow forest, subsistence agriculture fields and pastures. Lignin signatures in tropical plants clearly distinguish from temperate ones with high ratios of Acid/aldehyde of vanillyls ((Ad/Al)v) and P/V+S. Contrary to temperate environments, similarly high ratios in tropical soils are not related to TOM degradation along with pedogenesis but to direct influence of plants growing on them. Lignin signatures of both plants and soils of primary rainforest and fallow forest clearly distinguish from those of non-forested areas, i.e., agriculture fields and pastures. Attalea speciosa Palm trees, an invasive species in all perturbed landscapes of the Amazon, exhibit lignin signatures clearly distinct from other dominant plant species. The study of lignin signatures in tropical areas thus represents a powerful tool to evaluate the impact of primary rainforest clearing on TOM dynamics in tropical areas.

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