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https://www.readbyqxmd.com/read/28214664/the-effect-of-music-listening-on-the-anxiety-of-nursing-students-during-their-first-blood-draw-experience
#1
REVIEW
Serpil Ince, Kıvan Çevik
BACKGROUND: Nursing education is a process aimed both at theoretical knowledge and skill development. The Fundamentals of Nursing is a course that furnishes students with professional knowledge, concepts and technical skills, and, also, is the keystone of nursing education in our country. Students experience a great deal of anxiety as they face basic nursing practices for the first time. Studies have revealed the effectiveness of music in relieving anxiety in many patient groups. However, no previous studies were found where music was used with the intent to lower the anxiety that students experience over the course of skill learning...
February 14, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/28213582/a-scale-up-mock-up-comparison-of-student-learning-gains-in-high-and-low-tech-active-learning-environments
#2
Paula A G Soneral, Sara A Wyse
Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey data from instructors and students to prioritize the most salient SCALE-UP classroom features, we created a low-tech "Mock-up" version of this classroom and tested the impact of these features on student learning, attitudes, and satisfaction using a quasi--experimental setup...
2017: CBE Life Sciences Education
https://www.readbyqxmd.com/read/28213153/critical-thinking-instruction-and-technology-enhanced-learning-from-the-student-perspective-a-mixed-methods-research-study
#3
Ruth Swart
Critical thinking is acclaimed as a valuable asset for graduates from higher education programs. Technology has advanced in quantity and quality; recognized as a requirement of 21st century learners. A mixed methods research study was undertaken, examining undergraduate nursing student engagement with critical thinking instruction, platformed on two technology-enhanced learning environments: a classroom response system face-to-face in-class and an online discussion forum out-of-class. The Community of Inquiry framed the study capturing constructivist collaborative inquiry to support learning, and facilitate critical thinking capability...
February 4, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28213063/impaired-spatial-performance-in-cerebellar-deficient-lurcher-mice-is-not-associated-with-their-abnormal-stress-response
#4
Jan Tuma, Yaroslav Kolinko, Dana Jelinkova, Pascal Hilber, Jan Cendelin
Both humans and laboratory animals suffering from cerebellar lesions exhibit cognitive as well as many emotional and behavioral abnormalities. These latter have been already observed in the cerebellar mutant mice currently used to highlight some aspect of autism spectrum disorders. The aim of this study was to investigate the influence of cerebellar-related stress response abnormalities on spatial learning and memory. Cerebellar-deficient Lurcher mutant mice were exposed to water environment without active escape possibility and then tested for spatial learning in the Morris water maze...
February 14, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28212969/lessons-learned-when-introducing-pharmacogenomic-panel-testing-into-clinical-practice
#5
Marc B Rosenman, Brian Decker, Kenneth D Levy, Ann M Holmes, Victoria M Pratt, Michael T Eadon
OBJECTIVES: Implementing new programs to support precision medicine in clinical settings is a complex endeavor. We describe challenges and potential solutions based on the Indiana GENomics Implementation: an Opportunity for the Underserved (INGenious) program at Eskenazi Health-one of six sites supported by the Implementing GeNomics In pracTicE network grant of the National Institutes of Health/National Human Genome Research Institute. INGenious is an implementation of a panel of genomic tests...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/28212704/neurochemical-differences-in-learning-and-memory-paradigms-among-rats-supplemented-with-anthocyanin-rich-blueberry-diets-and-exposed-to-acute-doses-of-56-fe-particles
#6
Shibu M Poulose, Bernard M Rabin, Donna F Bielinski, Megan E Kelly, Marshall G Miller, Nopporn Thanthaeng, Barbara Shukitt-Hale
The protective effects of anthocyanin-rich blueberries (BB) on brain health are well documented and are particularly important under conditions of high oxidative stress, which can lead to "accelerated aging." One such scenario is exposure to space radiation, consisting of high-energy and -charge particles (HZE), which are known to cause cognitive dysfunction and deleterious neurochemical alterations. We recently tested the behavioral and neurochemical effects of acute exposure to HZE particles such as (56)Fe, within 24-48h after exposure, and found that radiation primarily affects memory and not learning...
February 2017: Life Sciences in Space Research
https://www.readbyqxmd.com/read/28212422/probability-matching-in-perceptrons-effects-of-conditional-dependence-and-linear-nonseparability
#7
Michael R W Dawson, Maya Gupta
Probability matching occurs when the behavior of an agent matches the likelihood of occurrence of events in the agent's environment. For instance, when artificial neural networks match probability, the activity in their output unit equals the past probability of reward in the presence of a stimulus. Our previous research demonstrated that simple artificial neural networks (perceptrons, which consist of a set of input units directly connected to a single output unit) learn to match probability when presented different cues in isolation...
2017: PloS One
https://www.readbyqxmd.com/read/28212079/multi-view-multi-instance-learning-based-on-joint-sparse-representation-and-multi-view-dictionary-learning
#8
Bing Li, Chunfeng Yuan, Weihua Xiong, Weiming Hu, Houwen Peng, Xinmiao Ding, Stephen Maybank
In multi-instance learning (MIL), the relations among instances in a bag convey important contextual information in many applications. Previous studies on MIL either ignore such relations or simply model them with a fixed graph structure so that the overall performance inevitably degrades in complex environments. To address this problem, this paper proposes a novel multi-view multi-instance learning algorithm (M2IL) that combines multiple context structures in a bag into a unified framework. The novel aspects are: (i) we propose a sparse "-graph model that can generate different graphs with different parameters to represent various context relations in a bag, (ii) we propose a multi-view joint sparse representation that integrates these graphs into a unified framework for bag classification, and (iii) we propose a multi-view dictionary learning algorithm to obtain a multi-view graph dictionary that considers cues from all views simultaneously to improve the discrimination of the M2IL...
February 14, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28211648/cognitive-development-in-preterm-infants-multi-faceted-deficits-reflect-vulnerability-of-rigorous-neurodevelopmental-pathways
#9
Jessie R Maxwell, Tracylyn R Yellowhair, Akosua Y Oppong, Jenny E Camacho, Jean R Lowe, Lauren L Jantzie, Robin K Ohls
Prematurity remains the major cause of neonatal morbidity and mortality, with 15 million preterm births occurring worldwide in 2010. Infants born less than 37 weeks gestation are at high risk of abnormal neurodevelopmental outcomes, given that the central nervous system is extremely sensitive to an abnormal intra- and extra-uterine environment. Children born preterm have multiple neurodevelopmental sequelae involving dynamic and complex cognitive deficits. Former preterm infants have difficulty with each domain of cognition, including executive function, language, learning and memory, complex attention, perceptual-motor function and social cognition when compared to children born at term...
February 17, 2017: Minerva Pediatrica
https://www.readbyqxmd.com/read/28210368/academic-primer-series-five-key-papers-about-team-collaboration-relevant-to-emergency-medicine
#10
Michael Gottlieb, Catherine Grossman, Emily Rose, William Sanderson, Felix Ankel, Anand Swaminathan, Teresa M Chan
INTRODUCTION: Team collaboration is an essential for success both within academics and the clinical environment. Often, team collaboration is not explicitly taught during medical school or even residency, and must be learned during one's early career. In this article, we aim to summarize five key papers about team collaboration for early career clinician educators. METHODS: We conducted a consensus-building process among the writing team to generate a list of key papers that describe the importance or significance of team collaboration, seeking input from social media sources...
February 2017: Western Journal of Emergency Medicine
https://www.readbyqxmd.com/read/28210219/mice-lacking-m1-and-m3-muscarinic-acetylcholine-receptors-have-impaired-odor-discrimination-and-learning
#11
Wilson Chan, Sanmeet Singh, Taj Keshav, Ramita Dewan, Christian Eberly, Robert Maurer, Alexia Nunez-Parra, Ricardo C Araneda
The cholinergic system has extensive projections to the olfactory bulb (OB) where it produces a state-dependent regulation of sensory gating. Previous work has shown a prominent role of muscarinic acetylcholine (ACh) receptors (mAChRs) in regulating the excitability of OB neurons, in particular the M1 receptor. Here, we examined the contribution of M1 and M3 mAChR subtypes to olfactory processing using mice with a genetic deletion of these receptors, the M1(-/-) and the M1/M3(-/-) knockout (KO) mice. Genetic ablation of the M1 and M3 mAChRs resulted in a significant deficit in odor discrimination of closely related molecules, including stereoisomers...
2017: Frontiers in Synaptic Neuroscience
https://www.readbyqxmd.com/read/28209159/do-coursework-summative-assessments-predict-clinical-performance-a-systematic-review
#12
Rebecca Terry, Wayne Hing, Robin Orr, Nikki Milne
BACKGROUND: Two goals of summative assessment in health profession education programs are to ensure the robustness of high stakes decisions such as progression and licensing, and predict future performance. This systematic and critical review aims to investigate the ability of specific modes of summative assessment to predict the clinical performance of health profession education students. METHODS: PubMed, CINAHL, SPORTDiscus, ERIC and EMBASE databases were searched using key terms with articles collected subjected to dedicated inclusion criteria...
February 16, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28208671/a-passive-learning-sensor-architecture-for-multimodal-image-labeling-an-application-for-social-robots
#13
Marco A Gutiérrez, Luis J Manso, Harit Pandya, Pedro Núñez
Object detection and classification have countless applications in human-robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios. Despite the great advances in deep learning and computer vision, social robots performing non-trivial tasks usually spend most of their time finding and modeling objects. Working in real scenarios means dealing with constant environment changes and relatively low-quality sensor data due to the distance at which objects are often found...
February 11, 2017: Sensors
https://www.readbyqxmd.com/read/28207488/lessons-learned-from-humoral-responses-of-hiv-patients
#14
Laura E McCoy, Áine McKnight
PURPOSE OF REVIEW: Since 2009 many broadly neutralizing antibodies against HIV have been identified, yet there is still no vaccine capable of inducing such antibodies in humans. This review considers the early observations of HIV sera neutralization in light of more recent studies and highlights areas for future research. RECENT FINDINGS: Large clinical cohort studies using standardized neutralization assays and pseudoviruses derived from primary isolates have shown that 10-30% of HIV infections result in some level of serum neutralization breadth...
February 15, 2017: Current Opinion in HIV and AIDS
https://www.readbyqxmd.com/read/28207396/hd-mtl-hierarchical-deep-multi-task-learning-for-large-scale-visual-recognition
#15
Jianping Fan, Tianyi Zhao, Zhenzhong Kuang, Yu Zheng, Ji Zhang, Jun Yu, Jinye Peng
In this paper, a hierarchical deep multi-task learning (HD-MTL) algorithm is developed to support large-scale visual recognition (e.g., recognizing thousands or even tens of thousands of atomic object classes automatically). First, multiple sets of multi-level deep features are extracted from different layers of deep convolutional neural networks (deep CNNs), and they are used to achieve more effective accomplishment of the coarseto- fine tasks for hierarchical visual recognition. A visual tree is then learned by assigning the visually-similar atomic object classes with similar learning complexities into the same group, which can provide a good environment for determining the interrelated learning tasks automatically...
February 9, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28205604/selectively-bred-rats-provide-a-unique-model-of-vulnerability-to-ptsd-like-behavior-and-respond-differentially-to-fgf2-augmentation-early-in-life
#16
Katherine E Prater, Elyse L Aurbach, Hanna K Larcinese, Taylor N Smith, Cortney A Turner, Peter Blandino, Stanley J Watson, Stephen Maren, Huda Akil
Individuals respond differently to traumatic experiences including their propensity to develop post-traumatic stress disorder (PTSD). Understanding individual differences in PTSD vulnerability will allow the development of improved prevention and treatment options. Here, we characterized fear conditioning and extinction in rats selectively bred for differences in their locomotor response to a novel environment. Selectively bred high responder (bHR) and low responder (bLR) male rats are known to differ in their emotional reactivity on a range of measures of spontaneous anxiety- and depressive-like behaviors...
February 16, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28202786/dopamine-modulates-adaptive-prediction-error-coding-in-the-human-midbrain-and-striatum
#17
Kelly M J Diederen, Hisham Ziauddeen, Martin D Vestergaard, Tom Spencer, Wolfram Schultz, Paul C Fletcher
Learning to optimally predict rewards requires agents to account for fluctuations in reward value. Recent work suggests that individuals can efficiently learn about variable rewards through adaptation of the learning rate, and coding of prediction errors relative to reward variability. Such adaptive coding has been linked to midbrain dopamine neurons in nonhuman primates, and evidence in support for a similar role of the dopaminergic system in humans is emerging from fMRI data. Here, we sought to investigate the effect of dopaminergic perturbations on adaptive prediction error coding in humans, using a between-subject, placebo-controlled pharmacological fMRI study with a dopaminergic agonist (bromocriptine) and antagonist (sulpiride)...
February 15, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28202784/learning-to-predict-and-control-the-physics-of-our-movements
#18
Reza Shadmehr
When we hold an object in our hand, the mass of the object alters the physics of our arm, changing the relationship between motor commands that our brain sends to our arm muscles and the resulting motion of our hand. If the object is unfamiliar to us, our first movement will exhibit an error, producing a trajectory that is different from the one we had intended. This experience of error initiates learning in our brain, making it so that on the very next attempt our motor commands partially compensate for the unfamiliar physics, resulting in smaller errors...
February 15, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28198965/development-of-a-virtual-learning-environment-for-cardiorespiratory-arrest-training
#19
Anazilda Carvalho da Silva, Andrea Bernardes, Yolanda Dora Martinez Évora, Maria Célia Barcellos Dalri, Alexandre Ribeiro da Silva, Camila Santana Justo Cintra Sampaio
OBJECTIVE: To develop a Virtual Learning Environment (VLE) aiming at the training of nursing team workers and emergency vehicle drivers in Basic Life Support (BLS) to attend Cardiorespiratory arrest, and to evaluate the quality of its contents among specialists in the area of Emergency and Urgent care. METHOD: Applied research of technological development. The methodology used was based on the Instructional Design Model (ADDIE), which structures the teaching-learning planning in different stages (analysis, design, development, implementation and evaluation)...
November 2016: Revista da Escola de Enfermagem da U S P
https://www.readbyqxmd.com/read/28198471/machine-learned-approximations-to-density-functional-theory-hamiltonians
#20
Ganesh Hegde, R Chris Bowen
Large scale Density Functional Theory (DFT) based electronic structure calculations are highly time consuming and scale poorly with system size. While semi-empirical approximations to DFT result in a reduction in computational time versus ab initio DFT, creating such approximations involves significant manual intervention and is highly inefficient for high-throughput electronic structure screening calculations. In this letter, we propose the use of machine-learning for prediction of DFT Hamiltonians. Using suitable representations of atomic neighborhoods and Kernel Ridge Regression, we show that an accurate and transferable prediction of DFT Hamiltonians for a variety of material environments can be achieved...
February 15, 2017: Scientific Reports
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