Author(s): Sidorenkov AV; Borokhovski EF;

Article GUID: 40459704

Author(s): Dugré M; Chatelain Y; Glatard T;

Magnetic resonance imaging (MRI) preprocessing is a critical step for neuroimaging analysis. However, the computational cost of MRI preprocessing pipelines is a major bottleneck for large cohort studies and some clinical applications. While high-performance computing and, more recently, deep learning have been adopted to accelerate the computations, these ...

Article GUID: 40072903

Author(s): Cheyroux P; Morin AJS; Colombat P; Blechman Y; Gillet N;

This diary study sought to examine the direct and indirect effects of individuals' perceptions of supervisor support and workload during a work week (week 1) on their well-being, satisfaction, and performance at work during the following work week (week 2) as mediated through the quality of their weekend work recovery experiences (psychological detach ...

Article GUID: 39676703

Author(s): Sui J; Yue R; Bi H; Fu H; Yang A; Wang M; An C;

Spilled oil in ocean can spread to the shoreline and cause long-term impacts on the shoreline's ecological environment. Therefore, removing oil accumulated on shorelines is crucial. This study proposed an innovative ovalbumin (OVA) fluid-assisted method for the cleanup of oiled shoreline substrates. The oil removal efficiency of OVA fluids was systema ...

Article GUID: 39260515

Author(s): Espinosa S; Silva JF; Céspedes S;

A central challenge in hypothesis testing (HT) lies in determining the optimal balance between Type I (false positive) and Type II (non-detection or false negative) error probabilities. Analyzing these errors' exponential rate of convergence, known as error exponents, provides crucial insights into system performance. Error exponents offer a lens thro ...

Article GUID: 39056958

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): Guthrie DM; Williams N; O' Rourke HM; Orange JB; Phillips N; Pichora-Fuller MK; Savundranayagam MY; Sutradhar R;

Background: To develop and validate a prediction tool, or nomogram, for the risk of a decline in cognitive performance based on the interRAI Cognitive Performance Scale (CPS). Methods: Retrospective, population-based, cohort study using Canadian Resident Assessment Instrument for Home Care (RAI- ...

Article GUID: 38041046

Author(s): Valevicius D; Beck N; Kasper L; Boroday S; Bayer J; Rioux P; Caron B; Adalat R; Evans AC; Khalili-Mahani N;

Neuroimaging research requires sophisticated tools for analyzing complex data, but efficiently leveraging these tools can be a major challenge, especially on large datasets. CBRAIN is a web-based platform designed to simplify the use and accessibility of neuroimaging research tools for large-scal ...

Article GUID: 37841811

Author(s): Abdalaziz M; Sedaghati R; Vatandoost H;

This paper presents an optimal design of a large-capacity Magnetorheological (MR) damper suitable for off-road vehicle applications. The damper includes an MR fluid bypass valve with both annular and radial gaps to generate a large damping force and dynamic range. An analytical model of the proposed damper is formulated based on the Bingham plastic model ...

Article GUID: 37521729

Author(s): Bi H; Mulligan CN; Lee K; An C; Wen J; Yang X; Lyu L; Qu Z;

Oil deposited on shoreline substrates has serious adverse effects on the coastal environment and can persist for a long time. In this study, a green and effective microemulsion (ME) derived from vegetable oil was developed as a washing fluid to remove stranded oil from beach sand. The pseudo-ternary phase diagrams of the castor oil/water (without or witho ...

Article GUID: 37399736

Author(s): Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K;

Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbalanced classes is a particularly common problem, ...

Article GUID: 37385392