Author(s): Kafian Safari M; Mirzae M; Gheflati B; Sharifzade M; Zuhars J; Rottoo S; Rivaz H;

Purpose: Computer- and robotic-assisted technologies improve total knee arthroplasty (TKA) through intraoperative bone registration. However, limited bone exposure restricts point collection to the distal femur, omitting key geometric features and reducing registration accuracy and the surgical outcomes. Methods: We introduce a deep learning-based method ...

Article GUID: 41984365

Author(s): Griffith J; Lord JM; Catchen MD; Arce-Plata MI; Blanchet FG; Chandramohan M; Diaz-Corzo MC; Gravel D; Gutiérrez C; Helfenstein IS; Hoban S; Kass JM; Laikre L; Larocque G; Leigh DM; Leung B; Mastretta-Yanes A; Millette KL; Berbeo MAM; Ngu ...

The Convention on Biological Diversity's Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals to protect and restore biodiversity. It includes a monitoring framework that mandates countries to track progress toward these goals using indicators that summarize biodiversity ...

Article GUID: 41971256

Author(s): Borzone Mas D; Scarabotti PA; Vaschetto PA; Alvarenga P; Vazquez M; Arim M;

Modularity and nestedness have been observed recurrently across different ecological networks, including food webs and occurrence networks. These patterns emerge from species-level processes, where interactions and occurrences are determined by niche-based and/or abundance-based mechanisms. Abundance-based processes promote nested networks with gradients ...

Article GUID: 41840807

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