ScienceOpen Posters最新文献

{"title":"Effect of Pc and MW \u0000 C6- on the accuracy of Gas Condensate Dewpoint Pressure estimation using Neural network modelling","authors":"P. Ikpeka, J. Ugwu, G. Pillai, Paul Russell","doi":"10.14293/S2199-1006.1.SOR-.PPYCBU8.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPYCBU8.V1","url":null,"abstract":"Dewpoint pressure (DPP) is one of the most important factors to be evaluated by reservoir\u0000 engineers while planning the development of a gas condensate reservoir. Below the\u0000 dewpoint pressure, liquid condenses out of the gaseous phase. This liquid condensate\u0000 forms a “ring” or “bank” around the producing well in the near-well region. Normally\u0000 this liquid will not flow until its saturation exceeds the critical condensate saturation\u0000 (Scc) due to the capillary pressure and relative permeability of the porous medium.\u0000 Hence it is very essential to accurately predict the dewpoint pressure of the reservoir\u0000 fluid.Numerous studies have been done on predicting dewpoint pressure using neural\u0000 networks. All of these studies focus on four key input parameters: Reservoir Temperature,\u0000 Specific gravity, Compressibility factor and Molecular weight of heavier components\u0000 (C7+). However, in this study, two multi-layer perception neural networks (MLPNN)\u0000 were built. In developing the MLPNN models two new input parameters were introduced;\u0000 Critical pressure and Molecular weight of lighter components (C6-).","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85447541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Between inhibitors and repurposed drugs: COVID19 pharmacological approaches based on virus pathological life cycle","authors":"Heba Baioumy","doi":"10.14293/S2199-1006.1.SOR-.PPQTW4D.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPQTW4D.V1","url":null,"abstract":"Commendable efforts are being invested to combat CoronaVIrus Disease-19 (COVID-19)\u0000 through drug repurposing and developing an effective vaccine. Since the declaration\u0000 of the outbreak of COVID19 by the WHO, scientists, researchers, and healthcare providers\u0000 are collaborating worldwide to find a cure against the causative virus\u0000 SARS CoV-2 through drug repurposing (also known as drug repositioning). The therapeutic\u0000 inhibition of a virus infection involves several targets from various steps of the\u0000 virus life cycle; such as receptor-binding, cell fusion, virus replication, and release\u0000 of virions. Researchers have established that SARS CoV-1, MERS and SARS CoV-2 fuse\u0000 with the host cell through their S spike. Two pathways of viral cell entry are proposed:\u0000 TMPRSS2 dependent pathway and TMPRSS2-independent pathway. Researches also showed\u0000 through in-silico studies that drugs could work similarly on them. According to a\u0000 fusion-assay study in 2005 on SARS CoV-1 cell entry, Cathepsin protease L (CatL) induced\u0000 viral entry in a pH dependant manner; the optimum being acidic pH (Lysosomes). A recent\u0000 in-vitro study published in 2020, added that CatL continues S1 subunit degradation\u0000 in the acidic endosome and lysosome compartments. Several studies have published possible\u0000 candidates blocking the two pathways for virus cell-entry before its replication in\u0000 the host. Clinical documentations over the past year have shown that the severity\u0000 of SARS CoV-2 lingers beyond reducing viral load due to the inflammatory response\u0000 resulting in a cytokine storm. Hence, we hereby take the opportunity to highlight\u0000 that the use of Ulinastatin could greatly benefit moderate and severe cases of COVID19\u0000 and reduce mortality as an addition to a comprehensive protocol.","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81542450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vasodilatory shock in 15 years old girl in Bulgaria","authors":"Adriana Hadzhieva","doi":"10.14293/S2199-1006.1.SOR-.PPU2859.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPU2859.V1","url":null,"abstract":"Background\u0000 Multisystem Inflammatory Syndrome in children related to COVID-19 (MIS-C) is a new\u0000 condition the aftermath of which is yet to be studied both in Bulgaria and globally.\u0000 Up to mid December 2020, world COVID-19 fatalities are put at 1 582 674, according\u0000 WHO statistics.\u0000 Case Presentation Summary We present a 15 years old patient with MIS-C, diagnosed with acute abdomen, operated\u0000 andtreated for septic shock syndrome. The current situation represents a major clinical\u0000 challenge in part due to the complex differential diagnosis involved: acute abdomen,\u0000 septic shock, autoimmune diseases (Lupus erythematosus, Juvenile idiopathic arthritis,\u0000 Kawasaki disease, Acquired immune deficiency, Crohn`s disease, Ulcer colitis), acute\u0000 myocarditis. At the same time, other symptoms observed in children with COVID-19 such\u0000 as skin rashes, lymphadenopathy, conjunctivitis are not presented inour patient. We\u0000 did not observe any myocardial injury, however she went into an acute vasodilatory\u0000 shock with tachycardia, reduced kidney perfusion pressure and oliguria.\u0000 Learning Points/Discussion Effects of SARS-CoV-2 infection on patients will be asubject of analysis and clinical\u0000 research. Differential diagnosisof the multisystem inflammation syndrome in children,\u0000 clinicalexperience and newtherapeutic strategies are the key to reducing mortality\u0000 and long-term complicationsin the affected patients.","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83356251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychiatric Symptomatology in Medical Students in Lebanon: What about us?","authors":"Alfred Chabbouh, Carmen Al Haddad, Grace El Bejjani, Vanessa Daou, M. Chahoud","doi":"10.14293/S2199-1006.1.SOR-.PPMTBQX.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPMTBQX.V1","url":null,"abstract":"Medical students are an at-risk population to develop mental health disorders, especially\u0000 students in Lebanon who are facing constant additional stress due to the volatile\u0000 situation in the country. The present study used the APA’s DSM-5 Self-Rated Level\u0000 1 Cross-Cutting Symptom Measure – Adult to screen for psychiatric symptoms in 12 different\u0000 domains. Out of the sample of 364 students from all universities in Lebanon, only\u0000 5.2% had already a psychiatric diagnosis. Of the non-diagnosed subpopulation, a massive\u0000 percentage of 92.75% screened positive and subsequently, were in need of further mental\u0000 health evaluation. Roughly half of the participants described the existence of barriers\u0000 for them to seek mental health services, finances and stigma being major reasons.\u0000 Predictors of a more severe screen were being from a private university and previously\u0000 being bullied. The situation in medical schools in Lebanon is profoundly alarming.\u0000 Shouldn’t the health of future healthcare providers be a priority?","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75626922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grassland restoration reveals the importance of ecotypic variation on community assembly along a longitudinal aridity gradient","authors":"Z. Ren, D. Gibson, S. Baer, L. Johnson, Laurel R. Wilson","doi":"10.14293/S2199-1006.1.SOR-.PPHLWKA.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPHLWKA.V1","url":null,"abstract":"Two dominant species, \u0000 Andropogon gerardii and \u0000 Sorghastrum nutans, have a wide distribution across the Great Plains (USA) and are widely used in restorations. We ask: Do dominant species' ecotypes influence community diversity and structure evenly across a longitudinal aridity gradient? We established reciprocal common gardens at four sites across the gradient. Ecotypes of the two dominant species were seeded along with a prairie seed mix according to a randomized complete block design. Species composition was measured after 3 and 10 years. We used linear mixed models to analyze the effect of the ecotype and year on community diversity. NMDS and PERMANOVA were applied to examine the contribution of ecotype to community structure. Results showed that ecotype significantly affected species richness and shaped taxonomic, phylogenetic, and functional diversity. Accordingly, restorations should consider ecotypic variation as a critical biological filter to community assembly in grassland ecosystems.","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87233545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Performance Computing and Machine Learning in support of Toxicokinetic-Toxicodynamic Modelling for the understanding of Mixture Effects","authors":"D. Mikec, V. Baudrot, S. Charles","doi":"10.14293/S2199-1006.1.SOR-.PPXYK47.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPXYK47.V1","url":null,"abstract":"Toxicokinetics-Toxicodynamics (TKTD) models are increasingly used for inference of toxicity indices of interest in Environmental Risk Assessment (ERA) thanks to their clear description of numerous mechanisms , from the kinetics of compounds inside organisms (Toxicokinetics, TK) to their related damages and effect dynamics at the individual level (Toxicodynamics, TD) [1]. TKTD models offer the advantage of accounting for temporal aspects of both exposure and toxicity, considering data points all along the time course of experiments. In addition, TKTD models allow predictions under untested situations from time-variable exposure profiles either measured in the field or simulated in risk assessment scenarios. Although ERA can follow a compound-by-compound approach , in practice, ecosystems are exposed to many chemical products , from agricultural, industrial and domestic sources. Using TKTD models to describe such mixture effects over time requires making assumptions a priori on potential interactions of involved products [2]. These assumptions are then tested and evaluated based on fitting TKTD models to observed data under exposure to mixtures. This poster illustrates how high performance computing [3] and\u0000 machine learning [4] may be of particular help for the inference of TKTD models without a priori knowledge on emerging chemical interactions that leads to cocktail effects .","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77310998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A ready-to-use online tool to calculate the BCF of active substances: MOSAIC\u0000 bioacc","authors":"Aude Ratier, C. Lopes, Gauthier Multari, M. Babut, Vanessa Mazerolles, S. Charles","doi":"10.14293/S2199-1006.1.SOR-.PPLFWJO.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPLFWJO.V1","url":null,"abstract":"Toxicokinetic/toxicodynamic (TKTD) models are used to describe and predict the toxicity and the effects of chemical substances on individual traits based on experimental data. The toxicokinetic (TK) part describes the relationship between the exposure medium and the organism, considering various processes such as ADME (accumulation, depuration, metabolization and excretion). Regulation laying down the data requirements for active substances for the placing of plant protection products on the market, a bioaccumulation study on fish is required for substances with a partition coefficient octanol / water greater than or equal to 3, following the OECD guideline 305. Such a TK test allows to define the bioconcentration factor (BCF), the biomagnification factor (BMF) or the bioaccumulation factor (BAF). These factors are decisive criteria for estimating the concentration of active substances present in food items of vertebrates and more particularly of piscivorous birds and mammals. In a recent study, a relevant inference framework (Bayesian inference) was proposed to estimate toxicokinetic model parameters accounting for their correlation, based on the experimental data from standard guidelines and leading to the calculation of BCF/BMF/BAF. Models underlying this framework can be directly integrated and used as TK parts of TKTD models. Achieved in agreement with EFSA's scientific opinion on good modeling practices, the objective of this project is to develop a ready-to-use on-line tool for easily estimating BCF/BMF/BAF in a regulatory framework, by taking into account bioaccumulation of a parent compound and its metabolites through biotransformation. We built a Shiny interface to make available the inference method and the BCF/BMF/BAF calculation from the MOSAIC platform, which may be used for research as well as by companies or regulatory agencies. This tool will be integrated more broadly into the development and widespread use of TKTD models within the risk assessment framework.","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"93 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85849942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications of toxicokinetic (TK) models on freshwater invertebrates in a regulation perspective","authors":"Aude Ratier, C. Lopes, S. Charles, C. Casado-Martínez, H. Budzinski, O. Geffard, M. Babut","doi":"10.14293/S2199-1006.1.SOR-.PPWEUDS.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPWEUDS.V1","url":null,"abstract":"Toxicokinetic (TK) models have been developed to describe the bioaccumulation of chemicals in organisms. They are used as the first step to evaluate the toxicity of a contaminant in environmental risk assessment (ERA) and are developed to provide a theorical framework for understanding the link between exposure and accumulation by the biota, testing hypotheses, and make predictions (e.g. predictions of the chemical concentration in organisms according to environmental concentration or inversely). In France, polycyclic aromatic hydrocarbons (PAH) have generally been analyzed in sediment as part of annual monitoring. However, regulation specifies that for PAHs, the environmental quality standard (EQS) concerns biota, in this case invertebrates. However, modifying the monitoring protocol used for several years would lead to a loss of data continuity. In this context, TK models could be used to predict (\u0000 i ) concentrations in the sediment equivalent to the EQS\u0000 biota and (\u0000 ii ) concentrations in biota, directly from data measured in sediment in situ , then compared to the EQS\u0000 biota . Thus, the aim of this study was to illustrate how to use TK models to retro-predict chemical concentrations in the sediment leading to the EQS\u0000 biota . To achieve this purpose, we firstly used experimental data of a TK study available in the literature (e.g. Hyallela azteca and Chironomustentans exposed to benzo(a)pyrene (BaP) spiked sediment) to estimate the distributions of the model parameters and thus to predict the concentration in the sediment that will lead to a concentration in the biota below the corresponding EQS\u0000 biota (for both BaP and its metabolites). The results raised the issue of taking into account metabolites in regulation, where their concentrations in the organism could exceed the EQS\u0000 biota defined for the parent compound. Secondly, we used several experimental data of TK studies which reported different amount of organic matter to account for the bioavailability of PAH in the model.","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88328822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ready-To-Use Tools to Efficiently Model and Predict Effects due to Chemicals in the ERA Framework","authors":"S. Charles","doi":"10.14293/S2199-1006.1.SOR-.PPYBKA0.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPYBKA0.V1","url":null,"abstract":"MOSAIC is a turnkey decision-making tool for ecotoxicologists and regulators. Modelling and statistical tools for ecotoxicology. Without wasting time on extensive mathematical and statistical technicalities, users are given advanced and innovative methods for a valuable quantitative ERA.","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83487711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Überblick über offene Standards im wissenschaftlichen Publizieren /Overview of open standards in scientific publishing","authors":"Diana Tillmann, A. Grossmann, M. Reiche","doi":"10.14293/S2199-1006.1.SOR-.PPNKUIH.V1","DOIUrl":"https://doi.org/10.14293/S2199-1006.1.SOR-.PPNKUIH.V1","url":null,"abstract":"Die Publikationsinfrastruktur fur Open-Access-Veroffentlichungen stellt sich durch die Vernetzung verschiedener OA-Publikationsworkflows mit verschiedensten beteiligten Systemen aktuell als sehr heterogen dar. Dabei werden in der wissenschaftlichen Publikationslandschaft in deren unterschiedlichsten Bereichen des Publikationsprozesses eine Vielzahl existierender Standards, Normen sowie Spezifikationen verwendet. Das vorliegende Dokument stellt in einer ersten Version eine Ubersicht zu den offenen Standards im wissenschaftlichen Publizieren dar. In einer umfangreichen Recherche wurde eine grose Anzahl an Standards, Normen und Spezifikationen identifiziert. Um aus der grosen Masse an Standards die wesentlichen herauszufiltern, entwickelte das Forscherteam eine spezifische Arbeitsdefinition des Begriffes Standard im Kontext von Open-Access-Publikationsprozessen: „\u0000 Ein offener Standard fur wissenschaftliches Publizieren beschreibt eine einheitlich dokumentierte, weithin anerkannte, vielfach angewandte, offen zugangliche und erweiterbare Spezifikation, die bei der Erstellung, Beschreibung, Herstellung und Verbreitung wissenschaftlicher Publikationen angewandt wird“. Der Uberblick uber offene Standards im wissenschaftlichen Publizieren umfasst in dieser ersten Version 102 Standards, Normen und Spezifikationen, gegliedert in zehn Kategorien. Daruber hinaus enthalten alle aufgefuhrten Standards eine direkte Verlinkung zur jeweiligen technischen Dokumentation oder zu weiterfuhrenden Informationen. Damit stellt die Ubersicht eine Grundlage fur die zukunftige Diskussion und Zusammenarbeit mit Stakeholdern und der Forschungscommunity dar. Im Rahmen des vom Bundesministerium fur Bildung und Forschung (BMBF) geforderten Forschungsprojektes OPEN-ACCESS-Strukturierte-Kommunikation (OA-STRUKTKOMM) wird der Uberblick uber offene Standards im wissenschaftlichen Publizieren entwickelt. Ziel des Projektes ist es, notwendige Werkzeuge und Strategien fur die flachendeckende Einfuhrung eines bereits entwickelten State-of-the-Art-Workflows zur Herstellung und Verbreitung von OA-Monografien (DOI 10.33968/9783966270175-00 ) zu entwickeln. Dabei soll neben dem Wissenstransfer eine XML-basierte Kommunikationsstruktur entwickelt werden, welche den Datenaustausch zwischen den workflowbeteiligten Systemen robuster und kompatibel gestaltet, um damit eine leistungsfahigere Publikationsinfrastruktur zu etablieren, diese weitestgehend zu standardisieren und so Open Access durch eine vereinfachte Nutzung attraktiver zu machen. Weitere Informationen finden sich auf der Forschungswebsite: oa-struktkomm.htwk-leipzig.de Translated Abstract The publication infrastructure for Open Access publications is currently very heterogeneous due to the networking of various OA publication workflows with a wide range of systems involved. In the scientific publication landscape, a large number of existing standards and specifications are used in the various areas of the publication process. The firs","PeriodicalId":21568,"journal":{"name":"ScienceOpen Posters","volume":"282 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76814737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}