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Perceived Partner Responsiveness is Associated with Longitudinal Changes in Circulating Inflammatory Biomarkers Among Caregiving Mothers in Midlife

Author(s): Gouin JP; Sánchez-Carro Y; Cruz IP; MacNeil S;

Positive social relationships are linked to better health outcomes. Beyond global evaluations of relationship quality, little is known about how specific interpersonal processes may influence biological pathways promoting optimal health outcomes. Perceived partner responsiveness (PPR) is an interpersonal process through which an individual comes to believ ...

Article GUID: 41876038


Strengthening and Targeted Rehabilitation for Optimal Neuromuscular Gains for chronic BACK pain (STRONG-BACK): protocol for a randomised controlled trial in participants with primary nociceptive pain drivers

Author(s): Fortin M; Rosenstein B; Bertrand C; Vaillancourt N; Wright A; Montpetit C; Macedo L; Elliott J; Cook CE; Tousignant-Laflamme Y; Ma J; Pagé MG; Dover G; Dang-Vu TT; Weber MH;

Introduction: Exercise therapy is the most recommended treatment for chronic low back pain (LBP), with evidence supporting modest effects, likely due to the heterogeneity of patient presentations. Evidence suggests that matching individuals to the most appropriate exercise type could improve outc ...

Article GUID: 41876162


Cross-modal synchrony between music and visual motion modulates vection, urge to move, and comfort in VR

Author(s): Van Kerrebroeck B; Spiech C; Penhune V; Wanderley MM;

Sensorimotor entrainment, the spontaneous alignment of movement with external rhythms, plays a key role in how we experience music and motion. In this study, we introduce a novel method combining musical stimuli, vection, and visually induced motion sickness (VIMS) in virtual reality (VR) to investigate how cross-modal rhythmic stimulation shapes self-mot ...

Article GUID: 41867666


On traits matching and the modular organization of food web and occurrence networks

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


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


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