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Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game

Author(s): Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; ...

Background: Major bile duct injuries during laparoscopic cholecystectomy (LC), often stemming from errors in surgical judgment and visual misperception of critical anatomy, significantly impact mor ...

Article GUID: 39052314


Surviving chlorinated waters: bleaching sensitivity and persistence of free-living amoebae

Author(s): Zahid MT; Mustafa G; Sajid R; Razzaq A; Waheed M; Khan MA; Hwang JH; Park YK; Chung WJ; Jeon BH; ...

Recent advancements in membrane technologies and disinfection methods have enhanced drinking water quality significantly. However, microorganisms, including free-living amoebae (FLA), persist and p ...

Article GUID: 39017868


Masters students' satisfaction with academic supervision and experiences of mental and emotional distress and wellbeing

Author(s): Nadine S Bekkouche

bjective: This paper presents a nuanced exploration of the relationship between graduate supervision and students' wellbeing. Methods: This study is a two-part mixed-methods survey study. Part 1 is a quantitative examination of the impact of satisfactio ...

Article GUID: 38848331


Computational neuroscience across the lifespan: Promises and pitfalls

Author(s): van den Bos W; Bruckner R; Nassar MR; Mata R; Eppinger B;

In recent years, the application of computational modeling in studies on age-related changes in decision making and learning has gained in popularity. One advantage of computational models is that they provide access to latent variables that cannot be direc ...

Article GUID: 29066078


Who Should Decide How Machines Make Morally Laden Decisions?

Author(s): Dominic Martin

Who should decide how a machine will decide what to do when it is driving a car, performing a medical procedure, or, more generally, when it is facing any kind of morally laden decision? More and more, machines are making complex decisions with a considerab ...

Article GUID: 27905083


Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests

Author(s): Babouras A; Abdelnour P; Fevens T; Martineau PA;

Purpose: To compare the accuracy of the Microsoft Kinect V2 with novel pose estimation frameworks, in assessing knee kinematics during athletic stress tests, for fast and portable risk assessment of anterior cruciate ligament (ACL) injury. Methods: We capt ...

Article GUID: 38730186


Thermotolerance in S. cerevisiae as a model to study extracellular vesicle biology

Author(s): Logan CJ; Staton CC; Oliver JT; Bouffard J; Kazmirchuk TDD; Magi M; Brett CL;

The budding yeast Saccharomyces cerevisiae is a proven model organism for elucidating conserved eukaryotic biology, but to date its extracellular vesicle (EV) biology is understudied. Here, we show yeast transmit information through the extracellular medium ...

Article GUID: 38711329


A Pilot Randomized Trial of Combined Cognitive-Behavioral Therapy and Exercise Training Versus Exercise Training Alone for the Management of Chronic Insomnia in Obstructive Sleep Apnea

Author(s): Cammalleri A; Perrault AA; Hillcoat A; Carrese-Chacra E; Tarelli L; Patel R; Baltzan M; Chouchou F; Dang-Vu TT; Gouin JP; Pepin V; ...

Insomnia treatment among individuals with comorbid insomnia and obstructive sleep apnea is suboptimal. In a pilot randomized controlled trial, 19 individuals with comorbid insomnia and obstructive ...

Article GUID: 38663849


Breamy: An augmented reality mHealth prototype for surgical decision-making in breast cancer

Author(s): Najafi N; Addie M; Meterissian S; Kersten-Oertel M;

Breast cancer is one of the most prevalent forms of cancer, affecting approximately one in eight women during their lifetime. Deciding on breast cancer treatment, which includes the choice between surgical options, frequently demands prompt decision-making ...

Article GUID: 38638506


CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets

Author(s): Islam M; Zunair H; Mohammed N;

Crafting effective deep learning models for medical image analysis is a complex task, particularly in cases where the medical image dataset lacks significant inter-class variation. This challenge is further aggravated when employing such datasets to generat ...

Article GUID: 38492455


An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls

Author(s): Ataei P; Takhtravan A; Gheibi M; Chahkandi B; Faramarz MG; Waclawek S; Fathollahi-Fard AM; Behzadian K; ...

This study presents an intelligent Decision Support System (DSS) aimed at bridging the theoretical-practical gap in groundwater management. The ongoing demand for sophisticated systems capable of i ...

Article GUID: 38317976


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