keyword
MENU ▼
Read by QxMD icon Read
search

Virtual learning

keyword
https://www.readbyqxmd.com/read/29140781/a-generative-audio-visual-prosodic-model-for-virtual-actors
#1
Adela Barbulescu, Remi Ronfard, Gerard Bailly
An important problem in computer animation of virtual characters is the expression of complex mental states during conversation using the coordinated prosody of voice, rhythm, facial expressions, and head and gaze motion. In this work, the authors propose an expressive conversion method for generating natural speech and facial animation in a variety of recognizable attitudes, using neutral speech and animation as input. Their method works by automatically learning prototypical prosodic contours at the sentence level from an original dataset of dramatic attitudes...
November 2017: IEEE Computer Graphics and Applications
https://www.readbyqxmd.com/read/29137330/virtual-screening-approach-to-identifying-influenza-virus-neuraminidase-inhibitors-using-molecular-docking-combined-with-machine-learning-based-scoring-function
#2
Li Zhang, Hai-Xin Ai, Shi-Meng Li, Meng-Yuan Qi, Jian Zhao, Qi Zhao, Hong-Sheng Liu
In recent years, an epidemic of the highly pathogenic avian influenza H7N9 virus has persisted in China, with a high mortality rate. To develop novel anti-influenza therapies, we have constructed a machine-learning-based scoring function (RF-NA-Score) for the effective virtual screening of lead compounds targeting the viral neuraminidase (NA) protein. RF-NA-Score is more accurate than RF-Score, with a root-mean-square error of 1.46, Pearson's correlation coefficient of 0.707, and Spearman's rank correlation coefficient of 0...
October 10, 2017: Oncotarget
https://www.readbyqxmd.com/read/29136539/an-examination-of-lower-limb-asymmetry-in-ankle-isometric-force-control
#3
Sheng-Che Yen, Laura C Olsavsky, Caitlin M Cloonan, Amelia R Llanos, Kara J Dwyer, Mohsen Nabian, Amir Bahador Farjadian
While asymmetries have been observed between the dominant and non-dominant legs, it is unclear whether they have different abilities in isometric force control (IFC). The purpose of this study was to compare ankle IFC between the legs. IFC is important for stabilization rather than object manipulation, and people typically use their non-dominant leg for stabilization tasks. Additionally, studies suggested that a limb can better acquire a motor task when the control mechanism of the task is related to what the limb is specialized for...
November 11, 2017: Human Movement Science
https://www.readbyqxmd.com/read/29136513/facilitating-learning-through-an-international-virtual-collaborative-practice-a-case-study
#4
Monne Wihlborg, Elizabeth E Friberg, Karen M Rose, Linda Eastham
BACKGROUND: Internationalisation of higher education involving information and communication technology such as e-learning opens opportunities for innovative learning approaches across nations and cultures. OBJECTIVES: Describe a case in practice of collaborative and transformative learning in relation to 'internationalisation on home grounds' with the broader learning objective of 'becoming aware and knowledgeable'. DESIGN: A mutually developed project established a virtual international collaborative exchange for faculty and students using a course management software (MOODLE) and open access technology (Adobe CONNECT)...
November 4, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/29135425/internationalization-in-an-occupational-therapy-curriculum-a-philippine-american-pilot-collaboration
#5
Maria Concepcion C Cabatan, Lenin C Grajo
OBJECTIVE: This study is a pilot implementation of an Internationalization at Home (IaH) teaching and learning collaboration to enhance intercultural learning and understanding of concepts of occupation in two cohorts of occupational science and occupational therapy students from the Philippines and the United States. METHOD: In this collective case study, 149 students (Cohort 1, n = 65; Cohort 2, n = 84) participated. The collaboration included virtual conversations among students, faculty presentations, reflective assignments, and completion of an anonymous online survey...
November 2017: American Journal of Occupational Therapy: Official Publication of the American Occupational Therapy Association
https://www.readbyqxmd.com/read/29134756/development-of-predictive-qsar-models-of-4-thiazolidinones-antitrypanosomal-activity-using-modern-machine-learning-algorithms
#6
Anna Kryshchyshyn, Oleg Devinyak, Danylo Kaminskyy, Philippe Grellier, Roman Lesyk
This paper presents novel QSAR models for the prediction of antitrypanosomal activity among thiazolidines and related heterocycles. The performance of four machine learning algorithms: Random Forest regression, Stochastic gradient boosting, Multivariate adaptive regression splines and Gaussian processes regression have been studied in order to reach better levels of predictivity. The results for Random Forest and Gaussian processes regression are comparable and outperform other studied methods. The preliminary descriptor selection with Boruta method improved the outcome of machine learning methods...
November 14, 2017: Molecular Informatics
https://www.readbyqxmd.com/read/29132076/kinematic-analysis-of-direct-pointing-in-projection-based-stereoscopic-environments
#7
Chiuhsiang Joe Lin, Bereket Haile Woldegiorgis
This work investigated the effects of visual information, parallax, and target positions on movement performances in projection-based stereoscopic displays (PSDs). Fifteen (26.5 ± 3.83 years) self-declared right-handed individuals, with normal or corrected to normal visual acuity, completed pointing tasks in stereoscopic and real environments (RE). Three-dimensional spatial data, recorded by a motion system composed of six infrared cameras, was used to compute kinematics of reaching a real/virtual object at a combination of three parallax and nine frontal planar positions...
November 10, 2017: Human Movement Science
https://www.readbyqxmd.com/read/29131617/coupling-matched-molecular-pairs-with-machine-learning-for-virtual-compound-optimization
#8
Simone Fulle, Samo Turk, Benjamin Merget, Friedrich Rippmann
Matched molecular pair (MMP) analyses are widely used in compound optimization projects to gain insights into structure-activity relationships (SAR). The analysis is traditionally done via statistical methods but can also be employed together with machine learning (ML) approaches to extrapolate to novel compounds. The here introduced MMP/ML method combines a fragment-based MMP implementation with different machine learning methods to obtain automated SAR decomposition and prediction. To test the prediction capabilities and model transferability, two different compound optimization scenarios were designed: (1) 'new fragments' that occurs when exploring new fragments for a defined compound series, and (2) 'new static core and transformations' that resembles for instance the identification of a new compound series...
November 13, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/29128736/optimal-practice-conditions-enhance-the-benefits-of-gradually-increasing-error-opportunities-on-retention-of-a-stepping-sequence-task
#9
Danielle Levac, Kate Driscoll, Jessica Galvez, Kathleen Mercado, Lindsey O'Neil
INTRODUCTION: Physical therapists should implement practice conditions that promote motor skill learning after neurological injury. Errorful and errorless practice conditions are effective for different populations and tasks. Errorful learning provides opportunities for learners to make task-relevant choices. Enhancing learner autonomy through choice opportunities is a key component of the Optimizing Performance through Intrinsic Motivation and Attention for Learning (OPTIMAL) theory of motor learning...
November 9, 2017: Human Movement Science
https://www.readbyqxmd.com/read/29126602/the-potential-of-blended-learning-in-education-and-training-for-advanced-civilian-and-military-trauma-care
#10
Linda Sonesson, Kenneth Boffard, Lars Lundberg, Martin Rydmark, Klas Karlgren
INTRODUCTION: In the field of advanced care of the complex trauma patient, there is an emerging need for focused education and training. However, several hospitals do not support further education and training in this field, and the challenge of releasing time for physicians and nurses is well-known. Educational strategies using blended learning, which combines traditional classroom methods with modern computer-assisted methods and media, have not yet been widely used. This study analysed the educational challenges and areas for improvement, according to senior physicians and nurses, and investigated the potential use of blended learning...
November 6, 2017: Injury
https://www.readbyqxmd.com/read/29126402/using-social-media-to-support-small-group-learning
#11
Duncan Cole, Emma Rengasamy, Shafqat Batchelor, Charles Pope, Stephen Riley, Anne Marie Cunningham
BACKGROUND: Medical curricula are increasingly using small group learning and less didactic lecture-based teaching. This creates new challenges and opportunities in how students are best supported with information technology. We explored how university-supported and external social media could support collaborative small group working on our new undergraduate medical curriculum. METHODS: We made available a curation platform (Scoop.it) and a wiki within our virtual learning environment as part of year 1 Case-Based Learning, and did not discourage the use of other tools such as Facebook...
November 10, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/29125534/full-body-locomotion-reconstruction-of-virtual-characters-using-a-single-inertial-measurement-unit
#12
Christos Mousas
This paper presents a method of reconstructing full-body locomotion sequences for virtual characters in real-time, using data from a single inertial measurement unit (IMU). This process can be characterized by its difficulty because of the need to reconstruct a high number of degrees of freedom (DOFs) from a very low number of DOFs. To solve such a complex problem, the presented method is divided into several steps. The user's full-body locomotion and the IMU's data are recorded simultaneously. Then, the data is preprocessed in such a way that would be handled more efficiently...
November 10, 2017: Sensors
https://www.readbyqxmd.com/read/29124971/motor-learning-from-virtual-reality-to-natural-environments-in-individuals-with-duchenne-muscular-dystrophy
#13
Virgínia Helena Quadrado, Talita Dias da Silva, Francis Meire Favero, James Tonks, Thais Massetti, Carlos Bandeira de Mello Monteiro
PURPOSE: To examine whether performance improvements in the virtual environment generalize to the natural environment. STUDY DESIGN: we had 64 individuals, 32 of which were individuals with DMD and 32 were typically developing individuals. METHODS: The groups practiced two coincidence timing tasks. In the more tangible button-press task, the individuals were required to 'intercept' a falling virtual object at the moment it reached the interception point by pressing a key on the computer...
November 10, 2017: Disability and Rehabilitation. Assistive Technology
https://www.readbyqxmd.com/read/29124810/environment-learning-from-virtual-exploration-in-individuals-with-down-syndrome-the-role-of-perspective-and-sketch-maps
#14
E Toffalini, C Meneghetti, B Carretti, S Lanfranchi
BACKGROUND: Spatial knowledge about an environment is an important determinant of ability to move effectively within it and of personal autonomy. Individuals with Down's syndrome (DS) have difficulty managing configural visuospatial information. METHOD: Twenty-nine individuals with DS and 29 typically developing (TD) children, matched for mental age, learned about environments through virtual exploration using a route or survey view. A sketch map of the environment was or was not presented before exploration...
November 9, 2017: Journal of Intellectual Disability Research: JIDR
https://www.readbyqxmd.com/read/29123361/personalized-learning-in-medical-education-designing-a-user-interface-for-a-dynamic-haptic-robotic-trainer-for-central-venous-catheterization
#15
Mary Yovanoff, David Pepley, Katelin Mirkin, Jason Moore, David Han, Scarlett Miller
While Virtual Reality (VR) has emerged as a viable method for training new medical residents, it has not yet reached all areas of training. One area lacking such development is surgical residency programs where there are large learning curves associated with skill development. In order to address this gap, a Dynamic Haptic Robotic Trainer (DHRT) was developed to help train surgical residents in the placement of ultrasound guided Internal Jugular Central Venous Catheters and to incorporate personalized learning...
September 2017: Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting
https://www.readbyqxmd.com/read/29122571/360%C3%A2-operative-videos-a-randomised-cross-over-study-evaluating-attentiveness-and-information-retention
#16
Cuan M Harrington, Dara O Kavanagh, Gemma Wright Ballester, Athena Wright Ballester, Patrick Dicker, Oscar Traynor, Arnold Hill, Sean Tierney
OBJECTIVE: Although two-dimensional (2D) and three-dimensional videos have traditionally provided foundations for reviewing operative procedures, the recent 360º format may provide new dimensions to surgical education. This study sought to describe the production of a high quality 360º video for an index-operation (augmented with educational material), while evaluating for variances in attentiveness, information retention, and appraisal compared to 2D. DESIGN: A 6-camera synchronised array (GoPro Omni, [California, United States]) was suspended inverted and recorded an elective laparoscopic cholecystectomy in 2016...
November 6, 2017: Journal of Surgical Education
https://www.readbyqxmd.com/read/29120720/advanced-cataract-learning-experience-in-united-states-ophthalmology-residency-programs
#17
Adam J Yen, Saras Ramanathan
This study examined resident exposure to and competency in new techniques for cataract removal and intraocular lens (IOL) implantation. A questionnaire was sent to 116 United States ophthalmology program directors and completed by 71. In response to the questionnaire, program directors reported that 95.3% of their graduating seniors were competent to select and implant toric IOLs and 52.3% were competent to implant capsular tension rings (CTRs). Divide and conquer (56.6%) and stop and chop (25.4%) dominated phacoemulsification teaching...
October 2017: Journal of Cataract and Refractive Surgery
https://www.readbyqxmd.com/read/29117245/an-incremental-anomaly-detection-model-for-virtual-machines
#18
Hancui Zhang, Shuyu Chen, Jun Liu, Zhen Zhou, Tianshu Wu
Self-Organizing Map (SOM) algorithm as an unsupervised learning method has been applied in anomaly detection due to its capabilities of self-organizing and automatic anomaly prediction. However, because of the algorithm is initialized in random, it takes a long time to train a detection model. Besides, the Cloud platforms with large scale virtual machines are prone to performance anomalies due to their high dynamic and resource sharing characters, which makes the algorithm present a low accuracy and a low scalability...
2017: PloS One
https://www.readbyqxmd.com/read/29114234/gender-specific-covariations-between-competencies-interest-and-effort-during-science-learning-in-virtual-environments
#19
Eva Christophel, Wolfgang Schnotz
Women are still underrepresented in engineering courses although some German universities offer separate women's engineering courses which include virtual STEM learning environments. To outline information about fundamental aspects relevant for virtual STEM learning, one has to reveal which similarities both genders in virtual learning show. Moreover, the question arises as to whether there are in fact differences in the virtual science learning of female and male learners. Working with virtual STEM learning environments requires strategic and arithmetic-operative competences...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/29113794/a-new-rat-compatible-robotic-framework-for-spatial-navigation-behavioral-experiments
#20
Sam Gianelli, Bruce Harland, Jean-Marc Fellous
BACKGROUND: Understanding the neural substrate of information encoding and processing requires a precise control of the animal's behavior. Most of what has been learned from the rodent navigational system results from relatively simple tasks in which the movements of the animal is controlled by corridors or walkways, passive movements, treadmills or virtual reality environments. While a lot has been and continues to be learned from these types of experiments, recent evidence has shown that such artificial constraints may have significant consequences on the functioning of the neural circuits of spatial navigation...
November 4, 2017: Journal of Neuroscience Methods
keyword
keyword
2414
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"