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Fant 9885 publikasjoner. Viser side 110 av 396:

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Presentasjon av CIENS-prosjekt Kunnskapsstatus for tverrfaglig klima- og miljøforskning

Skjellum, Solrun Figenschau; Bartonova, Alena; Ruud, Audun; Slettemark, Britta

2021

Preparation and certification of a reference material on PCBs in pig fat and its application in quality control in monitoring laboratories during the Belgian

Bester, K.; de Vos, P.; Le Guern, L.; Harbeck, S.; Hendrickx, F.; Kramer, G.N.; Linsinger, T.; Mertens, I.; Schimmel, H.; Sejeroe-Olsen, B.; Pauwels, J.; De Poorter, G.; Rimkus, G.G.; Schlabach, M.

2001

Prenatal exposure to persistent organic pollutants and child overweight/obesity at 5-year follow-up: A prospective cohort study

Lauritzen, Hilde Brun; Larose, Tricia L; Øien, Torbjørn; Sandanger, Torkjel M; Odland, Jon Øyvind; van de Bor, Margot; Jacobsen, Geir Wenberg

2018

Preliminary results of the ACTRIS ACSM intercomparison study at the SIRTA French Atmospheric Supersite in the region of Paris. NILU PP

Crenn, V.; Frölich, R.; Sciare, J.; Croteau, P.L.; Favez, O.; Verlhac, S.; Belis, C.A.; Aas, W.; Äijälä, M.; Artiñano, B.; Baisnée, D.; Baltensprenger, U.; Bonnaire, N.; Bressi, M.; Canagaratna, M.; Canonaco, F.; Carbone, C.; Cavalli, F.; Coz, E.; Cubison, M.J.; Gietl, J.K.; Green, D.C.; Gros, V.; Heikkinen, L.; Lunder, C.; Minguillón, M.C.; Mocnik, G.; O'Dowd, C.D.; Ovadnevaite, J.; Petit, J-E.; Petralia, E.; Poulain, L.; Prevôt, A.S.H.; Priestman, M.; Riffault, V.; Ripoll, A.; Sarda-Estève, R.; Slowik, J.G.; Setyan, A.; Jayne, J.T.

2014

Preliminary results from the evaluation of the impact of bioethanol buses on urban air quality. NILU PP

Lopez-Aparicio, S.; Hak, C.; Schmidbauer, N.; Dye, C.; Manø, S.

2012

Preliminary evaluation of the relationship between IAQ and demand controlled ventilation.

Lopez-Aparicio, S.; Vogt, M.; Hak, C.; Dauge, F. R.; Holøs, S.; Mysen, M.

2017

Preliminary assessments under the 4th daughter directive. ETC/ACC Technical paper 2007/10

Barrett, K.

2007

Preliminary assessment report on the spatial mapping of air quality trends for Europe. ETC/ACC Tecnical paper, 2008/3

Denby, B.; Sundvor, I.; de Smet, P.; de Leeuw, F.

2008

Preface: Supplement on ELOISE II.

Pirrone, N.; Pacyna, J.M.; Munthe, J.; Barth, H.

2003

Predictors of per- and polyfluoroalkyl substances in a maternal population from Northern Norway.

Berg, V.; Nøst, T.H.; Huber, S.; Rylander, C.; Hansen, S.; Odland, J.Ø.; Sandanger, T.M.

2014

Predicting the student's perceptions of multi-domain environmental factors in a Norwegian school building: Machine learning approach

Alam, Azimil Gani; Bartonova, Alena; Høiskar, Britt Ann Kåstad; Fredriksen, Mirjam; Sharma, Jivitesh; Mathisen, Hans Martin; Yang, Zhirong; Gustavsen, Kai; Hart, Kent; Fredriksen, Tore; Cao, Guangyu

Poor Indoor Environmental Quality (IEQ) in schools significantly impacts students’ well-being, learning capabilities, and health. Perceived dissatisfaction rates (PD%) among students often remain high, even when indoor environmental variables appear well-controlled. This study aims to predict perceived dissatisfaction rates (PD%) across multi-domain environmental factors—thermal, acoustic, visual, and indoor air quality (IAQ)—using machine learning (ML) models. The research integrates sensor-based environmental measurements, outdoor weather data, building parameters, and 1437 student survey responses collected from three classrooms in a Norwegian school across multiple seasons. Statistical tests were used to pre-select relevant input variables, followed by the development and evaluation of multiple ML algorithms. Among the tested ML models, Random Forest (RF) demonstrated the highest predictive accuracy for PD%, outperforming multi-linear regression (MLR) and decision trees (DT), with R² values up to 0.91 for overall IEQ dissatisfaction (PDIEQ%). SHAP analysis revealed key predictors: CO₂ levels, VOCs, humidity, temperature, solar radiation, and room window orientation. IAQ, thermal comfort, and acoustic environment were the most influential factors affecting students' perceived well-being. Despite limitations as implementation in building level scale, the study demonstrates the feasibility of deploying predictive ML models under real-world constraints for improving IEQ monitoring system. The findings support practical strategies for adaptive indoor environmental management, particularly in educational settings, and provide a replicable framework for future research. Future research can expand to other climates, buildings, measurements, occupant levels, and ML training optimization.

Elsevier

2025

Predicting and validating the tracking of a volcanic ash cloud during the 2006 eruption of Mt. Augustine Volcano.

Webley, P.W.; Atkinson, D.; Collins, R.L.; Dean, K.; Fochesatto, J.; Sassen, K.; Cahill, C.F.; Prata, A.; Flynn, C.J.; Mizutani, K.

2008

Preclinical validation of human recombinant glutamate-oxaloacetate transaminase for the treatment of acute ischemic stroke

Pérez-Mato, María; Dopico-López, Antonio; Akkoc, Yunus; López-Amoedo, Sonia; Correa-Paz, Clara; Candamo-Lourido, María; Iglesias-Rey, Ramón; López-Arias, Esteban; Bugallo-Casal, Ana; da Silva-Candal, Andrés; Bravo, Susana B.; Chantada-Vázquez, María del Pilar; Arias, Susana; Santamaría-Cadavid, María; Estany-Gestal, Ana; Zaghmi, Ahlem; Gauthier, Marc A.; Gutiérrez-Fernández, María; Martin, Abraham; Llop, Jordi; Rodríguez, Cristina; Almeida, Ángeles; Migliavacca, Martina; Polo, Ester; Pelaz, Beatriz; Gozuacik, Devrim; El Yamani, Naouale; Sengupta, Tanima; Rundén-Pran, Elise; Vivancos, José; Castellanos, Mar; Díez-Tejedor, Exuperio; Sobrino, Tomás; Rabinkov, Aharon; Mirelman, David; Castillo, José; Campos, Francisco

The blood enzyme glutamate-oxaloacetate transaminase (GOT) has been postulated as an effective therapeutic to protect the brain during stroke. To demonstrate its potential clinical utility, a new human recombinant form of GOT (rGOT) was produced for medical use.

We tested the pharmacokinetics and evaluated the protective efficacy of rGOT in rodent and non-human primate models that reflected clinical stroke conditions.

We found that continuous intravenous administration of rGOT within the first 8 h after ischemic onset significantly reduced the infarct size in both severe (30%) and mild lesions (48%). Cerebrospinal fluid and proteomics analysis, in combination with positron emission tomography imaging, indicated that rGOT can reach the brain and induce cytoprotective autophagy and induce local protection by alleviating neuronal apoptosis.

Our results suggest that rGOT can be safely used immediately in patients suspected of having a stroke. This study requires further validation in clinical stroke populations.

2024

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