Author(s): Alicia Estefania Antonio Figueroa

This work implements deep learning models to capture non-linear and complex data behavior in aluminum price data. Deep learning models include the long short-term memory (LSTM) and deep feedforward neural networks (FFNN). The support vector regression (SVR) is employed as a base model for comparison. Each predictive model is tuned by using two different o ...

Article GUID: 41751647

Author(s): Yu S; Jin Y; Guo T; Li H; Liu W; Chen Z; Wang X; Guo J;

Biological denitrification is limited by slow nitrate (NO3-) reduction due to low electron transfer efficiency, unsatisfactory community functional efficiency and insufficient metabolic activity of microbial communities. To overcome these challenges, Ni2+ and Fe2+ were incorporated with gallic acid (GA) to form bimetallic polyphenol networks (NiFeGA BPNs) ...

Article GUID: 41707775

Author(s): Joly-Smith E; Talpur MM; Allard P; Papazotos F; Potvin-Trottier L; Hilfinger A;

Characterizing and manipulating cellular behavior requires a mechanistic understanding of the causal interactions between cellular components. We present an approach to detect causal interactions between genes without the need to perturb the physiological state of cells. This approach exploits naturally occurring cell-to-cell variability which is experime ...

Article GUID: 41401079

Author(s): Lahmiri S; Tadj C; Gargour C;

Voice analysis and classification for biomedical diagnosis purpose is receiving a growing attention to assist physicians in the decision-making process in clinical milieu. In this study, we develop and test deep feedforward neural networks (DFFNN) to distinguish between healthy and unhealthy newborns. The DFFNN are trained with acoustic features measured ...

Article GUID: 41294952

Author(s): Kempel A; Adamidis GC; Anadón JD; Atkinson J; Auge H; Avtzis D; Bachelot B; Bashirzadeh M; Bota JL; Classen A; Constantinou I; Crawley M; de Bellis T; Dostal P; Ebeling A; Eisenhauer N; Eldridge DJ; Encina G; Estrada C; Everingham S; Fan ...

Plants are consumed by a variety of organisms, including herbivores and pathogens, which significantly impact plant biomass, diversity, community composition, and ecosystem functioning. While the impacts of vertebrate herbivores are well established, the effects of consumer groups such as insect ...

Article GUID: 41080499

Author(s): Rattray GF; Jourde HR; Baillet S; Coffey EBJ;

Subcortical brain regions like the thalamus are integral to numerous sensory and cognitive functions. Magnetoencephalography (MEG) enables the study of widespread brain networks with high temporal resolution, but the degree to which deep sources like the thalamus can be resolved remains unclear. Functional connectivity methods may enhance differentiation, ...

Article GUID: 41002111

Author(s): Cheng M; He S; Pan Y; Lin M; Zhu WP;

The Internet of Things (IoT) has promoted emerging applications that require massive device collaboration, heavy computation, and stringent latency. Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) systems can provide flexible services for user devices (UDs) with wide coverage. The optimization of both latency and energy consumption rema ...

Article GUID: 40942666

Author(s): Moore C; Donhauser PW; Klein D; Byers-Heinlein K;

The remarkable human capacity for bilingual and multilingual acquisition raises fundamental questions about how the brain develops efficient systems for processing multiple languages. In this study, we used neural network models trained on natural speech input to examine how these efficient representations emerge. Our models show that multiple phonologica ...

Article GUID: 40828024

Author(s): Sobral M; Jourde HR; Marjani Bajestani SE; Coffey EBJ; Beltrame G;

Personalized closed-loop brain stimulation, in which algorithms used to detect neural events adapt to a user's unique neural characteristics, may be crucial to enable optimized and consistent stimulation quality for both fundamental research and clinical applications. Precise stimulation of sleep spindles-transient patterns of brain activity that occu ...

Article GUID: 40609549

Author(s): Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E;

Whole-genome duplication (WGD) events are common across various organisms; however, the retention and evolution of WGD paralogs is not fully understood. Quantitative measure of protein redistribution in response to the deletion of their WGD paralog provides insight into sources of gene retention. ...

Article GUID: 40580499

Author(s): Grant N; Phillips N;

Mild cognitive impairment (MCI) and hearing loss (HL) have been separately associated with increased dementia risk. These highly co-occurring dementia risk factors are associated with aberrant functional brain connectivity. In individuals with HL aberrant functional connectivity has been associated with cognitive impairment. In individuals with MCI, aberr ...

Article GUID: 40567819