Author(s): Levesque-Vargas M; Ohlund L; Sleno L; Gélinas Y; Höhener P; Ponsin V;

Many processes can contribute to the attenuation of the frequently detected and toxic herbicides atrazine and metolachlor in surface water, including photodegradation. Multi-element compound-specific isotope analysis has the potential to decipher between these different degradation pathways as Cl is a promising tool for both pathway identification and a s ...

Article GUID: 39716600

Author(s): Yusefi H; Helfield B;

Clinical ultrasound contrast agent microbubbles remain intravascular and are between 1-8 µm in diameter, with a volume-weighted mean size of 2-3 µm. Despite their worldwide clinical utility as a diagnostic contrast agent, and their continued and ongoing success as a local therapeutic vector, the fundamental interplay between microbubbles - including bubbl ...

Article GUID: 39705920

Author(s): Bai Y; Xu Y; Sun L; Ward Z; Wang H; Ratnayake G; Wang C; Zhao M; He H; Gao J; Wu M; Lu S; Bepete G; Peng D; Liu B; Kang F; Terrones H; Terrones M; Lei Y;

Liquid exfoliation is a scalable and effective method for synthesizing 2D nanosheets (NSs) but often induces contamination and defects. Here, liquid metal gallium (Ga) is used to exfoliate bulk layered materials into 2D NSs at near room temperature, utilizing the liquid surface tension and Ga int ...

Article GUID: 39707650

Author(s): Mirzaei Y; Douglas PMJ; Gélinas Y;

The priming effect (PE) refers to the enhanced remineralization of recalcitrant organic carbon (OC) driven by the respiration of labile OC, potentially increasing CO2 fluxes from aquatic ecosystems. Patterns of PE induced by marine and terrestrial OC inputs can be explored through sedimentary contributions to the degraded OC pool. In this study, coastal s ...

Article GUID: 39700996

Author(s): Geoffrey Dover

No abstract available

Article GUID: 39697557

Author(s): Alessandroni N; Altschul D; Baumgartner HA; Bazhydai M; Brosnan SF; Byers-Heinlein K; Call J; Chittka L; Elsherif M; Espinosa J; Freeman MS; Gjoneska B; Güntürkün O; Huber L; Krasheninnikova A; Mazza V; Miller R; Moreau D; Nawroth C; Pronizius E; Ruiz-Fernández S; Schwing R; Šlipogor V; Visser I; ...

No abstract available

Article GUID: 39695249

Author(s): Tremblay M; Stager JC; St-Jacques JM; Murphy S; Peros M; Carl BS;

Two radiocarbon-dated pollen and charcoal records from cores collected at Stump Pond and a wetland in suburban Albany County, New York, provide new insights into the environmental history of a unique inland pine barrens that is currently surrounded and threatened by urban development: the Albany Pine Bush (APB). The Stump Pond core shows that the pond for ...

Article GUID: 39693293

Author(s): Bi H; Wang Z; Yue R; Sui J; Mulligan CN; Lee K; Pegau S; Chen Z; An C;

Coastal areas of the Arctic and Subarctic are vulnerable to accidental oil spills, impacting the ecosystem, society, and economy. This article provides a comprehensive overview of oil spill pollution issues in cold regions, focusing on environmental impacts, oil transport and fate, coastal/shoreline response measures, and the state of current internationa ...

Article GUID: 39689468

Author(s): Gallinger C; Popovic L;

We consider a general class of autocatalytic reactions, which has been shown to display stochastic switching behaviour (discreteness-induced transitions (DITs)) in some parameter regimes. This behaviour was shown to occur either when the overall species count is low or when the rate of inflow and outflow of species is relatively much smaller than the rate ...

Article GUID: 39679357

Author(s): Cheyroux P; Morin AJS; Colombat P; Blechman Y; Gillet N;

This diary study sought to examine the direct and indirect effects of individuals' perceptions of supervisor support and workload during a work week (week 1) on their well-being, satisfaction, and performance at work during the following work week (week 2) as mediated through the quality of their weekend work recovery experiences (psychological detach ...

Article GUID: 39676703

Author(s): Guo J; Fan W; Amayri M; Bouguila N;

This article proposes a novel deep clustering model based on the variational autoencoder (VAE), named GamMM-VAE, which can learn latent representations of training data for clustering in an unsupervised manner. Most existing VAE-based deep clustering methods use the Gaussian mixture model (GMM) as a prior on the latent space. We employ a more flexible asy ...

Article GUID: 39662201