Keyword search (4,163 papers available)

"distribution" Keyword-tagged Publications:

Title Authors PubMed ID
1 Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures Guo D; Luo Z; Bouguila N; Fan W; 41791177
ENCS
2 Spatio-temporal distribution of AOD and its response to regional energy consumption and air pollution factors in China Su Y; Chen X; Guo J; Yang A; 41308902
ENCS
3 Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding Li Z; Luo Z; Bouguila N; Su W; Fan W; 40664160
ENCS
4 No species left behind: borrowing strength to map data-deficient species Sharma S; Winner K; Pollock LJ; Thorson JT; Mäkinen J; Merow C; Pedersen EJ; Chefira KF; Portmann JM; Iannarilli F; Beery S; de Lutio R; Jetz W; 40571432
BIOLOGY
5 Strategies to Reduce Uncertainties from the Best Available Physicochemical Parameters Used for Modeling Novel Organophosphate Esters across Multimedia Environments Xing C; Ge J; Chen R; Li S; Wang C; Zhang X; Geng Y; Jones KC; Zhu Y; 40105294
CHEMBIOCHEM
6 Exon junction complexes regulate osteoclast-induced bone resorption by influencing the NFATc1 m6A distribution through the "shield effect" Sun B; Yang JG; Wang Z; Wang Z; Feng W; Li X; Liu SN; Li J; Zhu YQ; Zhang P; Wang W; 40051055
ENCS
7 Spatial Variations of Atmospheric Alkylated Polycyclic Aromatic Hydrocarbons across the Western Pacific to the Southern Ocean: Unexpected Increasing Deposition Zhu FJ; Lu XM; Jia JW; Zhang X; Xing DF; Cai MH; Kallenborn R; Li YF; Muir DCG; Zhang ZF; Zhang X; 40025703
CHEMBIOCHEM
8 In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability Khaked AA; Oishi N; Roggen D; Lago P; 39860799
ENCS
9 Asymmetric autocatalytic reactions and their stationary distribution Gallinger C; Popovic L; 39679357
MATHSTATS
10 Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions Sun Y; Wang C; 38493601
ENCS
11 The infimum values of two probability functions for the Gamma distribution Sun P; Hu ZC; Sun W; 38261930
MATHSTATS
12 Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency Al-Bazzaz H; Azam M; Amayri M; Bouguila N; 37837127
ENCS
13 The evolution of plasticity at geographic range edges Usui T; Lerner D; Eckert I; Angert AL; Garroway CJ; Hargreaves A; Lancaster LT; Lessard JP; Riva F; Schmidt C; van der Burg K; Marshall KE; 37183152
BIOLOGY
14 Tide-induced infiltration and resuspension of microplastics in shorelines: Insights from tidal tank experiments Feng Q; Chen Z; An C; Yang X; Wang Z; 37084574
ENCS
15 Identifying climate change refugia for South American biodiversity Sales LP; Pires MM; 36919472
BIOLOGY
16 Human Activity Recognition with an HMM-Based Generative Model Manouchehri N; Bouguila N; 36772428
ENCS
17 Species compositions mediate biomass conservation: the case of lake fish communities Arranz I; Fournier B; Lester NP; Shuter BJ; Peres-Neto PR; 34905222
BIOLOGY
18 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
19 Formation of oil-particle aggregates: Impacts of mixing energy and duration Ji W; Boufadel M; Zhao L; Robinson B; King T; An C; Zhang BH; Lee K; 34252767
ENCS
20 Grape seed extract supplementation along with a restricted-calorie diet improves cardiovascular risk factors in obese or overweight adult individuals: A randomized, placebo-controlled trial. Yousefi R, Parandoosh M, Khorsandi H, Hosseinzadeh N, Madani Tonekaboni M, Saidpour A, Babaei H, Ghorbani A 33044768
HKAP
21 The Odonata of Quebec: Specimen data from seven collections. Favret C, Moisan-De Serres J, Larrivée M, Lessard JP 32174757
CONCORDIA
22 Diversity, evolution, and classification of virophages uncovered through global metagenomics. Paez-Espino D, Zhou J, Roux S, Nayfach S, Pavlopoulos GA, Schulz F, McMahon KD, Walsh D, Woyke T, Ivanova NN, Eloe-Fadrosh EA, Tringe SG, Kyrpides NC 31823797
BIOLOGY
23 Aegilops tauschii Genome Sequence: A Framework for Meta-analysis of Wheat QTLs. Xu J, Dai X, Ramasamy RK, Wang L, Zhu T, McGuire PE, Jorgensen CM, Dehghani H, Gulick PJ, Luo MC, Müller HG, Dvorak J 30670607
BIOLOGY

 

Title:Formation of oil-particle aggregates: Impacts of mixing energy and duration
Authors:Ji WBoufadel MZhao LRobinson BKing TAn CZhang BHLee K
Link:https://pubmed.ncbi.nlm.nih.gov/34252767/
DOI:10.1016/j.scitotenv.2021.148781
Publication:The Science of the total environment
Keywords:Baffled flaskEnergy dissipation rateOil droplet size distributionOil particle aggregateOil trapping efficiencyVolume median diameter
PMID:34252767 Category: Date Added:2021-07-13
Dept Affiliation: ENCS
1 Center for Natural Resources, Department of Civil and Environmental Engineering, New Jersey Institute of Technology, 323 MLK Blvd., Newark, NJ 07102, USA.
2 Center for Natural Resources, Department of Civil and Environmental Engineering, New Jersey Institute of Technology, 323 MLK Blvd., Newark, NJ 07102, USA. Electronic address: boufadel@gmail.com.
3 ExxonMobil Upstream Research Company, 22777 Springwoods Village Pkwy, Houston, TX 77389, USA.
4 Department of Fisheries and Oceans, Dartmouth, NS B2Y 4A2, Canada.
5 Department of Building, Civil, and Environmental Engineering, Concordia University, 1455 Boulevard de Maisonneuve O, Montréal, QC H3G 1M8, Canada.
6 Department of Civil Engineering, Memorial University of Newfoundland, St. John's, NL A1C 5S7, Canada.

Description:

Spilled oil slicks are likely to break into droplets offshore due to wave energy. The fate and transport of such droplets are affected by suspended particles in local marine environment, through forming oil particle aggregates (OPAs). OPA formation is affected by various factors, including the mixing energy and duration. To evaluate these two factors, lab experiments of OPA formation were conducted using kaolinite at two hydrophobicities in baffled flasks, as represented by the contact angle of 28.8° and 37.7° (original and modified kaolinite). Two mixing energies (energy dissipation rates of 0.05 and 0.5 W/kg) and four durations (10 min, 30 min, 3 h, and 24 h) were considered. Penetration to the oil droplets was observed at 3-5 µm and 5-7 µm for the original and modified kaolinite by confocal microscopy, respectively. At lower mixing energy, volume median diameter d50 of oil droplets increased from 45 µm to 60 µm after 24 h mixing by original kaolinite; for modified kaolinite, d50 decreased from 40 µm to 25 µm after 24 h mixing. The trapped oil amount in negatively buoyant OPAs decreased from 35% (3 h mixing) to 17% (24 h mixing) by original kaolinite; and from 18% to 12% after 24 h mixing by modified kaolinite. Results indicated that the negatively buoyant OPAs formed with original kaolinite at low mixing energy reaggregated after 24 h. At higher mixing energy, d50 decreased from 45 µm to 17 µm after 24 h mixing for both kaolinites. And the trapped oil amount in negatively buoyant OPAs increased to 72% and 49% after 24 h mixing for original and modified kaolinite, respectively. At higher mixing energy, the OPAs formed within 10 min and reached equilibrium at 3 h by original kaolinite. For modified kaolinite, the OPAs continued to form through 24 h.





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