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A Fully Virtual Graded Exertion Test Is Safe and Feasible in Symptomatic and Asymptomatic Children With Concussion

Author(s): Coupal J; Shabanova D; Gagnon I; Grilli L; Beaulieu C; Teel E;

Context: Current graded exertion tests (GXTs) for concussion management require specialized equipment and in-person supervision. The Montreal Virtual Exertion (MOVE) protocol is a telehealth-compatible GXT but has been tested only in pseudo-virtual conditions. Objective: To determine the safety and feasibility of the MOVE protocol when administered remot ...

Article GUID: 41816309


Sleep magnetoencephalography enhances detection and source imaging of seizures and fast oscillations in focal cortical dysplasia

Author(s): Heers M; Afnan J; Braun C; Grova C; Altenmüller DM; Steinhoff BJ; Dümpelmann M; Demerath T; Urbach H; Ethofer S; Siegel M; Schulze-Bonhage A; Lerche H; Li Hegner Y;

Objective: Focal cortical dysplasia (FCD) causes drug-resistant epilepsy requiring presurgical evaluation. Invasive electroencephalographic (EEG) studies demonstrate that sleep modulates epileptic activity, including interictal epileptiform discharges (IEDs), fast oscillations (FOs) in the beta ( ...

Article GUID: 41804684


Efficient self-supervised Barlow Twins from limited tissue slide cohorts for colonic pathology diagnostics

Author(s): Notton C; Sharma V; Quoc-Huy Trinh V; Chen L; Xu M; Varma S; Hosseini MS;

Colorectal cancer (CRC) is one of the few cancers that have an established dysplasia-carcinoma sequence that benefits from screening. Everyone over 50 years of age in Canada is eligible for CRC screening. About 20% of those people will undergo a biopsy for a pre-neoplastic polyp and, in many cases, multiple polyps. As such, these polyp biopsies make up th ...

Article GUID: 41793844


Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures

Author(s): Guo D; Luo Z; Bouguila N; Fan W;

Neural topic models (NTMs) based on variational autoencoders (VAEs) have emerged as a scalable and flexible alternative to classical probabilistic models for uncovering latent thematic structures in text corpora. However, most existing NTMs either overlook the geometric structure of word embeddings or rely on Euclidean priors that are poorly aligned with ...

Article GUID: 41791177


Blending Poly(dimethylsiloxane) with Poly(lactic acid) Using Polyhydroxyurethane Additives

Author(s): Younes GR; Heli B; Ajji A;

This work blends polydimethylsiloxane (PDMS) with poly-(lactic acid) (PLA) using polyhydroxyurethane (PHU) structures. The PHU is synthesized from mannitol biscarbonate and a short-chain PDMS-based diamine. The main objectives are, first, to explore the application of the PDMS-based PHU as an additive for PLA and, second, to enhance the flexibility and hy ...

Article GUID: 41783236


Benzylisoquinoline Alkaloid Production in Yeast via Norlaudanosoline Improves Titer, Selectivity, and Yield

Author(s): Narcross L; Pyne ME; Kevvai K; Siu KH; Dueber JE; Martin VJJ;

The benzylisoquinoline alkaloid (BIA) family of tetrahydroisoquinolines (THIQs) comprises >2,500 members, including the pharmaceuticals morphine, codeine, and papaverine, as well as the antibiotics sanguinarine and chelerythrine. Agricultural cultivation can supply the demand for the BIAs that accumulate in plants, but broader access to the BIA family wou ...

Article GUID: 41779670


Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search

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


Capacitive bimetallic redox cycles and ligand-to-metal charge transfer to Boost denitrification with Ni sup II /sup /Fe sup II /sup -Gallic acid phenolic networks

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


Laboratory-scale simulation study on the bioremediation of marine oil pollution by phosphate-solubilizing bacteria Bacillus subtilis PSB-1

Author(s): Du Z; Li Z; Chen X; Liu M; Feng L; Li Q; Chen Z; Chen Q;

Phosphate-solubilizing bacteria (PSB) are well-known for their ability to convert nonbioavailable phosphates into bioavailable forms, however, research on PSB that possess both phosphate solubilization and crude oil degradation capabilities in marine environments has not yet been explored, and the role of these bacteria in microbial remediation of petrole ...

Article GUID: 41707285


The effect of postoperative rehabilitation on outcomes in patients with degenerative cervical myelopathy (DCM): A systematic review

Author(s): Montpetit C; Kobaisi A; Lantz JM; Chauhan RV; Anderson DB; Fortin M;

Introduction: Degenerative cervical myelopathy (DCM) is the leading cause of adult spinal cord dysfunction, often requiring surgery. However, the role of postoperative rehabilitation in optimizing patient outcomes remains unclear. Research question: What are the effects of postoperative rehabilitation on clinical outcomes following DCM surgery? Material ...

Article GUID: 41693706


Expanding the tracer correlation method (TCM): A performance-based framework for wider implementation in landfill methane emissions monitoring

Author(s): Abichou T; Arkian F; Howarth E; Malmir T; Hossain RI; Buntov P; Dudak Y; Risk D;

The Tracer Correlation Method (TCM), when applied to quantify landfill methane emissions, relies on previously developed stringent quality control thresholds (R2 = 0.80 and Emission Rate Deviation (ERD) = 20 %, hereafter referred to as the Gold Standard. However, these thresholds often exclude a substantial portion of the collected data, limiting wider us ...

Article GUID: 41690139


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