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Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models

Author(s): Gheflati B; Mirzaei M; Rottoo S; Rivaz H;

Purpose: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical parameters. To address this limitation, this paper proposes a novel deep learning-based anatomically par ...

Article GUID: 39953355


Facebook recruitment: understanding research relations Prior to data collection

Author(s): Young K; Browne K;

This article considers the multiple relations that emerge from and between Facebook commenters, as well as between commenters, researchers, and the research project during recruitment. To do so, we draw on our experiences of recruiting individuals who have concerns about or are opposed to a range of recent social and legal changes in 'post-equality ...

Article GUID: 39877298


The effect of micro-vessel viscosity on the resonance response of a two-microbubble system

Author(s): Yusefi H; Helfield B;

Clinical ultrasound contrast agent microbubbles remain intravascular and are between 1-8 µm in diameter, with a volume-weighted mean size of 2-3 µm. Despite their worldwide clinical utility as a diagnostic contrast agent, and their continued and ongoing success as a local therapeutic vector, the fundamental interplay between microbubbles - including bubbl ...

Article GUID: 39705920


"It would Never have Happened Without the Pandemic": Understanding the Lived Experience of Individuals who Increased Their Online Gambling Participation

Author(s): Savard AC; Kairouz S; Nadeau-Tremblay J; Brodeur M; Ferland F; French M; Morvannou A; Blanchette-Martin N; Dufour M; VanMourik V; Monson E;

The gambling landscape was profoundly impacted by the COVID-19 pandemic, leading to an increase in online gambling participation. This growth raises concerns about the potential harms associated with online gambling. This qualitative study aims to understand the lived experiences of gamblers whos ...

Article GUID: 39115755


A unified stochastic SIR model driven by Lévy noise with time-dependency

Author(s): Easlick T; Sun W;

We propose a unified stochastic SIR model driven by Lévy noise. The model is structural enough to allow for time-dependency, nonlinearity, discontinuity, demography, and environmental disturbances. We present concise results on the existence and uniqueness of positive global solutions and investigate the extinction and persistence of the novel model. Exam ...

Article GUID: 39027117


Gambling Patterns and Problems of Gamblers on Licensed and Unlicensed Sites in France

Author(s): Costes JM; Kairouz S; Eroukmanoff V; Monson E;

In 2010 France enacted a law to regulate supply and consumption of online gambling. Its primary aim was to protect citizens from gambling-related harm. This study aims to assess differences in gambling patterns and related harm between online gamblers who use licensed versus unlicensed sites. Participants (N = 3860) completed a self-administered online su ...

Article GUID: 25862019


Subharmonic resonance of phospholipid coated ultrasound contrast agent microbubbles

Author(s): Yusefi H; Helfield B;

Phospholipid encapsulated ultrasound contrast agents have proven to be a powerful addition in diagnostic imaging and show emerging applications in targeted therapy due to their resonant and nonlinear scattering. Microbubble response is affected by their intrinsic (e.g. bubble size, encapsulation physics) and extrinsic (e.g. boundaries) factors. One of the ...

Article GUID: 38217906


Nonlinear dynamic modeling and model-based AI-driven control of a magnetoactive soft continuum robot in a fluidic environment

Author(s): Moezi SA; Sedaghati R; Rakheja S;

In recent years, magnetoactive soft continuum robots (MSCRs) with multimodal locomotion capabilities have emerged for various biomedical applications. Developments in nonlinear dynamic models and effective control methods for MSCRs are deemed vital not only to gain a better understanding of their coupled magneto-mechanical behavior but also to accurately ...

Article GUID: 37932207


The experimental multi-arm pendulum on a cart: A benchmark system for chaos, learning, and control

Author(s): Kaheman K; Fasel U; Bramburger JJ; Strom B; Kutz JN; Brunton SL;

The single, double, and triple pendulum has served as an illustrative experimental benchmark system for scientists to study dynamical behavior for more than four centuries. The pendulum system exhibits a wide range of interesting behaviors, from simple harmonic motion in the single pendulum to chaotic dynamics in multi-arm pendulums. Under forcing, even t ...

Article GUID: 37637793


Online Gambling Practices and Related Problems in Five European Countries: Findings from the Electronic Gam(bl)ing Multinational Empirical Survey (E-GAMES) Project

Author(s): Costes JM; Kairouz S; Fiedler I; Bartczuk RP; Lelonkek-Kuleta B; Minutillo A; Notari L;

Online gambling has demonstrated a significant and growing impact on overall gambling involvement. To examine online gambling practices and associated problems, we conducted surveys with national samples of Internet users in several European countries. The objective of this paper is to provide a portrait of online gambling practices and problems in five E ...

Article GUID: 37466781


Using machine learning to retrospectively predict self-reported gambling problems in Quebec

Author(s): Murch WS; Kairouz S; Dauphinais S; Picard E; Costes JM; French M;

Background and aims: Participating in online gambling is associated with an increased risk for experiencing gambling-related harms, driving calls for more effective, personalized harm prevention initiatives. Such initiatives depend on the development of models capable of detecting at-risk online gamblers. We aimed to determine whether machine learning alg ...

Article GUID: 36880253


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