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https://www.readbyqxmd.com/read/28934808/competency-based-teaching-in-radiology-implementation-and-evaluation-of-interactive-workstation-based-learning-to-apply-nklm-based-content
#1
Wolfgang Koestner, Wiebke Otten, Till Kaireit, Frank K Wacker, Sabine Dettmer
Purpose New teaching formats are required to implement competency-based teaching in radiology teaching. Therefore, we have established and evaluated two practical competency-based radiological courses. Materials and Methods The courses were held in a multimedia room with 25 computers and a professional DICOM viewer. Students were taught basic image analysis and presented clinical cases with a DICOM viewer under supervision of an instructor using desktop monitoring software. Two courses (elective course and obligatory course) were evaluated by the students (n = 160 and n = 100) and instructors (n = 9) using an anonymized online survey...
September 21, 2017: RöFo: Fortschritte Auf Dem Gebiete der Röntgenstrahlen und der Nuklearmedizin
https://www.readbyqxmd.com/read/28934075/gerontological-education-course-and-experiential-differences-across-academic-colleges
#2
Hardeep K Obhi, Jennifer A Margrett, Yan Su, Sarah L Francis, Young-A Lee, Denise A Crawford, Warren D Franke
A knowledgeable workforce is key to meeting the demands of an aging population that is expected to nearly triple by 2030 and attitudes influence propensity to seek aging-related careers. Post-secondary education offers an opportunity to increase aging-related knowledge and facilitates intergenerational experiential-learning opportunities; however, research is lacking regarding attitudes towards aging and experiences among an academically diverse sample. To address this gap, the aims of this study were to: (1) examine differences in students' attitudes toward older adults by academic college; (2) assess differences in aging-related coursework and course experiences by academic college; and (3) explore key factors associated with students' attitudes toward older adults...
September 21, 2017: Gerontology & Geriatrics Education
https://www.readbyqxmd.com/read/28931480/a-literature-review-of-mentorship-programs-in-academic-nursing
#3
REVIEW
Lorelli Nowell, Jill M Norris, Kelly Mrklas, Deborah E White
BACKGROUND: Nursing education institutions have issued recurring, global calls for mentorship; however, evidence-based program development guidance is scarce. To date, there are no comprehensive syntheses of current mentorship models, objectives, and program components to inform mentorship program development in nursing academia. The purpose of this review is to identify published articles that (1) described models for mentoring programs for academic nurses, and (2) described the objectives and core components of these programs...
September 2017: Journal of Professional Nursing: Official Journal of the American Association of Colleges of Nursing
https://www.readbyqxmd.com/read/28931174/improvement-of-radiological-teaching-effects-of-focusing-of-learning-targets-and-increased-consideration-of-learning-theory-knowledge
#4
Stefan Wirth, York-Alexander William, Marco Paolini, Kathrin Wirth, Daniel Maxien, Maximilian Reiser, Martin R Fischer
Purpose Based on evaluation and examination results of students, a necessity for improvement of so far purely instructor-based radiological teaching at the local institution was determined. Aim of our study was to use one out of eight seminars to exemplify adaptation of the teaching concept according to learning theory knowledge, to determine the resulting effects and to interpret them. Materials and methods The institutional review board approved the prospective study of the seminar conversion, which was performed after the end of the winter semester 2015/2016...
September 20, 2017: RöFo: Fortschritte Auf Dem Gebiete der Röntgenstrahlen und der Nuklearmedizin
https://www.readbyqxmd.com/read/28931023/parsimonious-data-how-a-single-facebook-like-predicts-voting-behavior-in-multiparty-systems
#5
Jakob Bæk Kristensen, Thomas Albrechtsen, Emil Dahl-Nielsen, Michael Jensen, Magnus Skovrind, Tobias Bornakke
This study shows how liking politicians' public Facebook posts can be used as an accurate measure for predicting present-day voter intention in a multiparty system. We highlight that a few, but selective digital traces produce prediction accuracies that are on par or even greater than most current approaches based upon bigger and broader datasets. Combining the online and offline, we connect a subsample of surveyed respondents to their public Facebook activity and apply machine learning classifiers to explore the link between their political liking behaviour and actual voting intention...
2017: PloS One
https://www.readbyqxmd.com/read/28931013/a-pre-registered-naturalistic-observation-of-within-domain-mental-fatigue-and-domain-general-depletion-of-self-control
#6
Daniel Randles, Iain Harlow, Michael Inzlicht
Self-control is often believed to operate as if it were a finite, domain-general resource. However, recent attempts to demonstrate this under transparent conditions have failed to yield positive results. In the current study, we monitor two groups of students (N1 = 8,867, N2 = 8,754) over separate 17-week intervals with 24-hour coverage, as they engage in voluntary learning and self-testing using an online program. We use daily behavior to assess whether time-of-day effects support domain-general theories of self-control...
2017: PloS One
https://www.readbyqxmd.com/read/28930053/a-descriptive-study-of-the-prevalence-and-typology-of-alcohol-related-posts-in-an-online-social-network-for-smoking-cessation
#7
Amy M Cohn, Kang Zhao, Sarah Cha, Xi Wang, Michael S Amato, Jennifer L Pearson, George D Papandonatos, Amanda L Graham
OBJECTIVE: Alcohol use and problem drinking are associated with smoking relapse and poor smoking-cessation success. User-generated content in online social networks for smoking cessation provides an opportunity to understand the challenges and treatment needs of smokers. This study used machine-learning text classification to identify the prevalence, sentiment, and social network correlates of alcohol-related content in the social network of a large online smoking-cessation program, BecomeAnEX...
September 2017: Journal of Studies on Alcohol and Drugs
https://www.readbyqxmd.com/read/28928964/the-evaluation-of-a-virtual-education-system-based-on-the-delone-and-mclean-model-%C3%A2-a-path-analysis
#8
Zohreh Mahmoodi, Sara Esmaelzadeh-Saeieh, Razieh Lotfi, Monir Baradaran Eftekhari, Mahnaz Akbari Kamrani, Zahra Mehdizadeh Tourzani, Katayoun Salehi
Background: The Internet has dramatically influenced the introduction of virtual education. Virtual education is a term that involves online education and e-learning. This study was conducted to evaluate a virtual education system based on the DeLone and McLean model. Methods: This descriptive analytical study was conducted using the census method on all the students of the Nursing and Midwifery Department of Alborz University of Medical Sciences who had taken at least one online course in 2016-2017. Data were collected using a researcher-made questionnaire based on the DeLone and McLean model in six domains and then analyzed in SPSS-16 and LISREL-8...
2017: F1000Research
https://www.readbyqxmd.com/read/28927383/blended-learning-with-moodle-in-medical-statistics-an-assessment-of-knowledge-attitudes-and-practices-relating-to-e-learning
#9
Li Luo, Xiaohua Cheng, Shiyuan Wang, Junxue Zhang, Wenbo Zhu, Jiaying Yang, Pei Liu
BACKGROUND: Blended learning that combines a modular object-oriented dynamic learning environment (Moodle) with face-to-face teaching was applied to a medical statistics course to improve learning outcomes and evaluate the impact factors of students' knowledge, attitudes and practices (KAP) relating to e-learning. METHODS: The same real-name questionnaire was administered before and after the intervention. The summed scores of every part (knowledge, attitude and practice) were calculated using the entropy method...
September 19, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28926775/geographic-and-demographic-correlates-of-autism-related-anti-vaccine-beliefs-on-twitter-2009-15
#10
Theodore S Tomeny, Christopher J Vargo, Sherine El-Toukhy
This study examines temporal trends, geographic distribution, and demographic correlates of anti-vaccine beliefs on Twitter, 2009-2015. A total of 549,972 tweets were downloaded and coded for the presence of anti-vaccine beliefs through a machine learning algorithm. Tweets with self-disclosed geographic information were resolved and United States Census data were collected for corresponding areas at the micropolitan/metropolitan level. Trends in number of anti-vaccine tweets were examined at the national and state levels over time...
September 4, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28926281/e-learning-to-improve-healthcare-professionals-attitudes-and-practices-on-breastfeeding
#11
Sofia Colaceci, Angela Giusti, Elise M Chapin, Maria Enrica Bettinelli, Alessia De Angelis, Francesca Zambri, Ercole Vellone, Rosaria Alvaro, Barbara De Mei
INTRODUCTION: Breastfeeding training has a crucial role in increasing healthcare professionals' attitudes and in improving professional support for breastfeeding. The collaboration between the Italian National Institute of Health, UNICEF, and the Local Health Authority of Milan has led to the development of an online course on lactation and infant feeding practices. AIM: To assess if the course was effective in improving healthcare professionals' attitudes and practices (APs)...
September 19, 2017: Breastfeeding Medicine: the Official Journal of the Academy of Breastfeeding Medicine
https://www.readbyqxmd.com/read/28925823/deep-learning-mr-imaging-based-attenuation-correction-for-pet-mr-imaging
#12
Fang Liu, Hyungseok Jang, Richard Kijowski, Tyler Bradshaw, Alan B McMillan
Purpose To develop and evaluate the feasibility of deep learning approaches for magnetic resonance (MR) imaging-based attenuation correction (AC) (termed deep MRAC) in brain positron emission tomography (PET)/MR imaging. Materials and Methods A PET/MR imaging AC pipeline was built by using a deep learning approach to generate pseudo computed tomographic (CT) scans from MR images. A deep convolutional auto-encoder network was trained to identify air, bone, and soft tissue in volumetric head MR images coregistered to CT data for training...
September 19, 2017: Radiology
https://www.readbyqxmd.com/read/28925759/can-moocs-meet-your-learning-needs
#13
David Bryson
This paper looks at the role of Massive Open Online Courses (MOOCs) in fulfilling your learning needs; from looking at what MOOCs are through to examples of courses from different Universities and advice for completing a course. The sequence of activities takes you from looking at your learning needs, to finding a course, thinking about how to plan and prepare for learning using a MOOC then writing a review or reflecting on the impact of your learning.
September 19, 2017: Journal of Visual Communication in Medicine
https://www.readbyqxmd.com/read/28923016/5-hydroxymethylcytosine-is-highly-dynamic-across-human-fetal-brain-development
#14
Helen Spiers, Eilis Hannon, Leonard C Schalkwyk, Nicholas J Bray, Jonathan Mill
BACKGROUND: Epigenetic processes play a key role in orchestrating transcriptional regulation during the development of the human central nervous system. We previously described dynamic changes in DNA methylation (5mC) occurring during human fetal brain development, but other epigenetic processes operating during this period have not been extensively explored. Of particular interest is DNA hydroxymethylation (5hmC), a modification that is enriched in the human brain and hypothesized to play an important role in neuronal function, learning and memory...
September 18, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28922350/stem-cells-and-cell-based-therapies-for-cerebral-palsy-a-call-for-rigor
#15
REVIEW
Lauren L Jantzie, Joseph Scafidi, Shenandoah Robinson
Cell-based therapies hold significant promise for infants at risk for cerebral palsy (CP) from perinatal brain injury (PBI). PBI leading to CP results from multi-faceted damage to neural cells. Complex developing neural networks are injured by neural cell damage plus unique perturbations in cell signaling. Given that cell-based therapies can simultaneously repair multiple injured neural components during critical neurodevelopmental windows, these interventions potentially offer efficacy for patients with CP...
September 18, 2017: Pediatric Research
https://www.readbyqxmd.com/read/28922348/stem-cell-biology-and-regenerative-medicine-for-neonatal-lung-diseases
#16
REVIEW
Martin Kang, Bernard Thébaud
Lung diseases remain one of the main causes of morbidity and mortality in neonates. Cell therapy and regenerative medicine have the potential to revolutionize the management of life-threatening and debilitating lung diseases that currently lack effective treatments. Over the past decade, the repair capabilities of stem/progenitor cells has been harnessed to prevent/rescue lung damage in experimental neonatal lung diseases. Mesenchymal stromal cells and amnion epithelial cells exert pleiotropic effects and represent ideal therapeutic cells for bronchopulmonary dysplasia, a multifactorial disease...
September 18, 2017: Pediatric Research
https://www.readbyqxmd.com/read/28920914/robust-visual-tracking-via-online-discriminative-and-low-rank-dictionary-learning
#17
Tao Zhou, Fanghui Liu, Harish Bhaskar, Jie Yang
In this paper, we propose a novel and robust tracking framework based on online discriminative and low-rank dictionary learning. The primary aim of this paper is to obtain compact and low-rank dictionaries that can provide good discriminative representations of both target and background. We accomplish this by exploiting the recovery ability of low-rank matrices. That is if we assume that the data from the same class are linearly correlated, then the corresponding basis vectors learned from the training set of each class shall render the dictionary to become approximately low-rank...
September 12, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28920911/efficient-online-learning-algorithms-based-on-lstm-neural-networks
#18
Tolga Ergen, Suleyman Serdar Kozat
We investigate online nonlinear regression and introduce novel regression structures based on the long short term memory (LSTM) networks. For the introduced structures, we also provide highly efficient and effective online training methods. To train these novel LSTM-based structures, we put the underlying architecture in a state space form and introduce highly efficient and effective particle filtering (PF)-based updates. We also provide stochastic gradient descent and extended Kalman filter-based updates. Our PF-based training method guarantees convergence to the optimal parameter estimation in the mean square error sense provided that we have a sufficient number of particles and satisfy certain technical conditions...
September 13, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28920910/online-density-estimation-of-nonstationary-sources-using-exponential-family-of-distributions
#19
Kaan Gokcesu, Suleyman S Kozat
We investigate online probability density estimation (or learning) of nonstationary (and memoryless) sources using exponential family of distributions. To this end, we introduce a truly sequential algorithm that achieves Hannan-consistent log-loss regret performance against true probability distribution without requiring any information about the observation sequence (e.g., the time horizon T and the drift of the underlying distribution C) to optimize its parameters. Our results are guaranteed to hold in an individual sequence manner...
September 13, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28919831/flipped-classroom-model-for-learning-evidence-based-medicine
#20
Sydney Y Rucker, Zulfukar Ozdogan, Morhaf Al Achkar
Journal club (JC), as a pedagogical strategy, has long been used in graduate medical education (GME). As evidence-based medicine (EBM) becomes a mainstay in GME, traditional models of JC present a number of insufficiencies and call for novel models of instruction. A flipped classroom model appears to be an ideal strategy to meet the demands to connect evidence to practice while creating engaged, culturally competent, and technologically literate physicians. In this article, we describe a novel model of flipped classroom in JC...
2017: Advances in Medical Education and Practice
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