Author(s): Van Houten J; Dosajh A; Gulati S; Bhullar G; Copeman C; Ogata AF;
Low-cost analytical assays enable accessible detection of clinically and environmentally important analytes; however, common enzyme-based assays suffer from high production and storage costs. Catalytically active synthetic materials serve as replacements for natural enzymes, but development of cost-effective, highly efficient synthetic strategies remains ...
Article GUID: 38320270
Author(s): Ataei P; Takhtravan A; Gheibi M; Chahkandi B; Faramarz MG; Waclawek S; Fathollahi-Fard AM; Behzadian K;
This study presents an intelligent Decision Support System (DSS) aimed at bridging the theoretical-practical gap in groundwater management. The ongoing demand for sophisticated systems capable of interpreting extensive data to inform sustainable groundwater decision-making underscores the critica ...
Article GUID: 38317976
Author(s): Zhu Y; Cao H; Gao Z; Chen Z;
The identification of continuous pollution sources for rivers is of great concern for emergency response. Most studies focused on instantaneous river pollution sources and associated incidents. There is a dire need to address continuous pollution sources, as pollutant discharge may impose a major impact on the water ecosystem. Therefore, in this study, a ...
Article GUID: 38309421
Author(s): Yang X; Huang G; Feng Q; An C; Zhou S; Bi H; Lyu L;
The estuary is an energetic area connecting the inland, river, and ocean. The migration of microplastics (MPs) in this highly complex area is tied to the entire ecosystem. In this study, the effects of cohesive SPM (clay) and noncohesive SPM (sand) on the vertical migration of positively buoyant MPs, polyethylene (PE), and negatively buoyant MPs, polytetr ...
Article GUID: 38306690
Author(s): Mai M; Zazubovich V; Mansbach RA;
Reversible light and thermally induced spectral shifts are universally observed in a wide variety of pigment-protein complexes at temperatures ranging from cryogenic to ambient. In this paper, we employed large-scale molecular dynamics (MD) simulations of a prototypical pigment-protein complex to better understand these shifts at a molecular scale. Althou ...
Article GUID: 38299975
Author(s): Dar AA; Chen Z; Rodríguez-Rodríguez S; Haghighat F; González-Rosales B;
Assessing the impact of greenhouse gas (GHG) emissions on agricultural soils is crucial for ensuring food production sustainability in the global effort to combat climate change. The present study delves to comprehensively assess GHG emissions in Cuba's agricultural soil and analyze its implications for rice production and climate change because of it ...
Article GUID: 38295640
Author(s): Parenteau F; Puglia VF; Roberts M; Comtois AS; Bergdahl A;
Purpose: Cranberries have the highest polyphenol and antioxidant capacity among fruits and vegetables and may protect against exercise-induced free radical production, consequently improving performance. This study aimed to investigate the effect of polyphenol-rich cranberry extract (CE) on time-trial performance and lactate response following exercise. ...
Article GUID: 38297471
Author(s): Sokolowski A; Bhagwat N; Chatelain Y; Dugré M; Hanganu A; Monchi O; McPherson B; Wang M; Poline JB; Sharp M; Glatard T;
Context: An existing major challenge in Parkinson's disease (PD) research is the identification of biomarkers of disease progression. While magnetic resonance imaging is a potential source of PD biomarkers, none of the magnetic resonance imaging measures of PD are robust enough to warrant the ...
Article GUID: 38295031
Author(s): Alrubaye Z; Hudhud Mughrabi M; Manav B; Batmaz AU;
Mirror drawing is a motor learning task that is used to evaluate and improve eye-hand coordination of users and can be implemented in immersive Virtual Reality (VR) Head-Mounted Displays (HMDs) for training purposes. In this paper, we investigated the effect of color cues on user motor performance in a mirror-drawing task between Virtual Environment (VE) ...
Article GUID: 38288362
Author(s): Gonzalez Pepe I; Chatelain Y; Kiar G; Glatard T;
Convolutional neural networks (CNNs) are currently among the most widely-used deep neural network (DNN) architectures available and achieve state-of-the-art performance for many problems. Originally applied to computer vision tasks, CNNs work well with any data with a spatial relationship, besides images, and have been applied to different fields. However ...
Article GUID: 38285635
Author(s): Kraemer SA; Ramachandran A; Onana VE; Li WKW; Walsh DA;
Climate change is profoundly impacting the Arctic, leading to a loss of multiyear sea ice and a warmer, fresher upper Arctic Ocean. The response of microbial communities to these climate-mediated changes is largely unknown. Here, we document the interannual variation in bacterial and archaeal communities across a 9-year time series of the Canada Basin tha ...
Article GUID: 38282643
Author(s): Rosenstein B; Burdick J; Roussac A; Rye M; Naghdi N; Valentin S; Licka T; Sean M; Tétreault P; Elliott J; Fortin M;
It remains unclear whether paraspinal muscle fatty infiltration in low back pain (LBP) is i) solely intramuscular, ii) is lying outside the epimysium between the muscle and fascial plane (epimuscular) or iii) or combination of both, as imaging studies often use different segmentation protocols th ...
Article GUID: 38280825