1,848,324 research outputs found
HS-Veden suunnitteluhankkeen elinkaaren kehittäminen
Get PDFOpinnäytetyön tavoitteena oli kehittää työn tilaajan HS-Veden suunnitteluyksikön käytössä olevaa suunnitteluhankkeen elinkaarta ja siihen liittyvää tietomallipohjaista hankesuunnittelua avointa aineistoa hyödyntäen. Kehityshankkeen taustalla oli tarve kehittää suunnitteluhankkeen elinkaaren toimintamallia ja tehdä suunnittelun prosessista sujuvampi ja yhtenäisempi sekä tarkentaa suunnitteluhankkeiden kustannusarvioita.
Työn teoriaosuudessa käsiteltiin vesihuoltoalan tilaa ja saneerausvelkaa Suomessa ja muualla maailmassa. Lisäksi perehdyttiin omaisuudenhallintaan muilla infrastruktuurin erityisaloilla vesihuoltoalan lisäksi. Työssä hyödynnettiin kyselytutkimusta benchmarking- menetelmänä lähettämällä kysely Suomen kymmenelle suurimmalle vesihuoltolaitokselle tarkoituksena selvittää muiden vesihuoltolaitoksien tapoja hallita verkosto-omaisuuden saneerausvelkaa ja saneeraussuunnittelun prosessin hallintaa.
Opinnäytetyön kehityshankkeen puitteissa parannettiin HS-Veden suunnitteluprosessin projektinhallintaa sekä määritettiin verkkotietojärjestelmään verkoston osille uusi tausta-attribuutti avoimen paikkatietoaineiston pohjalta. Maaperälajin antamaa tausta- attribuuttia hyödynnettiin luokittelemalla maalajit rakennettavuuden mukaan neljään eri luokkaan, joille annettiin kustannuskertoimet. Kustannuskertoimilla saatiin tarkennettua hankekohtaisia kustannusarvioita.
Johtopäätökset ja pohdinnat luvussa tarkastellaan vielä kehityshakkeen jatkoa sekä HS-Veden tulevaisuuden kehityksen suuntaa, esimerkiksi sääntömuotoisen tekoälyn hyödyntämisessä suunnitteluprosessissa
Characterization of humic substances present in landfill leachates with different landfill ages and its implications
No full textHumic and fulvic acids extracted from landfill leachates were characterized using elemental analysis and various spectroscopic methods. Molecular size distribution of the humic substances (HS) was also determined using batch ultrafiltration technique and permeation coefficient model. The element analysis and spectral features obtained from UV/visible. IR, and H-1 and C-13 NMR showed that the aromatic character in the leachate HS was relatively lower than that of commercial humic acid (Aldrich Co.), and higher in the HS of older landfill leachate. Fluorescence spectra indicated that humic acids had a relatively higher content of condensed aromatic compounds than the fulvic acids obtained from the same Sources, and the spectrum of commercial humic acid showed that aromatic compounds may be present in a much more condensed and complex form. Molecular size distribution data revealed that the leachate humic acids contained a higher percentage of smaller molecules of < 10.000 D, compared with that of the commercial humic acid (45 similar to 49% vs. 33%), and molecular size of the leachate HS had a tendency to increase as landfill age increased. These results indicate that the HS from landfill leachates were in an early stage of humification, and the degree of humification increased as the landfilling age increased, which implies important information on various related researches, such as interactions of HA with pollutants in terrestrial environments, and optimization of leachate treatment processes with respect to landfill age. (C) 2002 Elsevier Science Ltd. All rights reserved
HS-SPME-GC-MS analytical parameters.
No full textThe analytical parameters for the applied GC-MS method on an Agilent 6890 GC coupled with an Agilent5973 MSD for analyzing HS-SPME samples. (PDF)</p
HS-FEN mitigates Hpcf-induced inflammation.
No full textExpression level of cytokines IL-12, IL-17 and G-CSF detected in AGS culture medium. Graph reports pg of cytokine in mL of cell medium differently treated: 1) HS-FEN 25 μg mL-1; 2) Hpcf 1:2 for 12 hours; 3) Hpcf 1:2 + HS-FEN 25 μg mL-1 for 12 hours. Values were normalized to basal activity (control cells) and data were represented as means ± s.d. of three independent experiments, each performed in triplicate. One-way ANOVA followed by Bonferroni post hoc correction was used to determinate statistically significant differences (** p<0.001; *** p <0.0001).</p
Hs-TnT values variation (delta) from baseline to 1-year follow-up.
No full textHs-TnT values variation is calculated as hs-TnT value at 1-year minus hs-TnT value at baseline. Negative values represent a decrease in hs-TnT over time, whereas positive values indicate an increase. Every point on the graph represents a patient.</p
The use of machine learning to identify the correctness of HS Code for the customs import declarations
No full textAs an increasing volume of international trade activities around the world, the amount of cross-boarder import declarations grows rapidly, resulting in an unprecedented scale of potentially fraudulent transactions, in particular false commodity code (e.g., HS Code). The incorrect HS Code will cause duty risk and adversely impact the revenue collection. Physical investigation by the customs administrations is impractical due to the substantial quantity of declarations. This paper provides an automatic approach by harnessing the power of machine learning techniques to relief the burden of customs targeting officers. We introduced a novel model based on the off-the-shelf embedding encoder to identify the correctness of HS Code without any human effort. Determining whether the HS Code is correctly matched with commodity description is a classification task, so the labelled data is typically required. However, the lack of gold standard labelled data sets in customs domain limits the development of supervised-based approach. Our model is developed by the unsupervised mechanism and trained on the unlabelled historical declaration records, which is robust and able to be smoothly adapted by the different customs administrations. Rather than typically classifying whether the HS Code is correct or not, our model predicts the score to indicate the degree of the HS Code being correct. We have evaluated our proposed model on the ground-truth data set provided by Dutch customs officers. Results show promising performance of 71% overall accuracy.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Information and Communication Technolog
Szilárd gyógyszerhatóanyag maradék oldószertartalmának meghatározása HS-GC technikával
No full textSzilárd gyógyszerhatóanyag maradék oldószertartalmának meghatározása HS-GC módzsre optimalizálása és validálása.GJVegyészMSc/M
Additional file 1 of Validity and usability testing of a health systems guidance appraisal tool, the AGREE-HS
No full textAGREE-HS Reporting Checklist. (DOCX 683 kb
Additional file 2 of Validity and usability testing of a health systems guidance appraisal tool, the AGREE-HS
No full textAGREE-HS item information. (DOCX 23 kb
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