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https://www.readbyqxmd.com/read/29777530/-power-in-mobility-parent-and-therapist-perspectives-of-the-experiences-of-children-learning-to-use-powered-mobility
#1
Lisa K Kenyon, W Ben Mortenson, William C Miller
AIM: The aim of this study was to gain insights, from the perspectives of both parents and pediatric therapists, into the experiences of children learning to use a power mobility device. METHOD: The purposive sample included 33 participants: 14 parents of children who were learning, or had learned, to use a power mobility device and 19 pediatric occupational therapists or physical therapists. Data were gathered face-to-face via seven focus groups consisting of either parents or therapists, and eight one-on-one interviews...
May 18, 2018: Developmental Medicine and Child Neurology
https://www.readbyqxmd.com/read/29775912/an-accurate-sleep-stages-classification-system-using-a-new-class-of-optimally-time-frequency-localized-three-band-wavelet-filter-bank
#2
Manish Sharma, Deepanshu Goyal, P V Achuth, U Rajendra Acharya
Sleep related disorder causes diminished quality of lives in human beings. Sleep scoring or sleep staging is the process of classifying various sleep stages which helps to detect the quality of sleep. The identification of sleep-stages using electroencephalogram (EEG) signals is an arduous task. Just by looking at an EEG signal, one cannot determine the sleep stages precisely. Sleep specialists may make errors in identifying sleep stages by visual inspection. To mitigate the erroneous identification and to reduce the burden on doctors, a computer-aided EEG based system can be deployed in the hospitals, which can help identify the sleep stages, correctly...
May 10, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29772201/the-neural-basis-of-timing-distributed-mechanisms-for-diverse-functions
#3
REVIEW
Joseph J Paton, Dean V Buonomano
Timing is critical to most forms of learning, behavior, and sensory-motor processing. Converging evidence supports the notion that, precisely because of its importance across a wide range of brain functions, timing relies on intrinsic and general properties of neurons and neural circuits; that is, the brain uses its natural cellular and network dynamics to solve a diversity of temporal computations. Many circuits have been shown to encode elapsed time in dynamically changing patterns of neural activity-so-called population clocks...
May 16, 2018: Neuron
https://www.readbyqxmd.com/read/29769331/temporal-transcriptional-logic-of-dynamic-regulatory-networks-underlying-nitrogen-signaling-and-use-in-plants
#4
Kranthi Varala, Amy Marshall-Colón, Jacopo Cirrone, Matthew D Brooks, Angelo V Pasquino, Sophie Léran, Shipra Mittal, Tara M Rock, Molly B Edwards, Grace J Kim, Sandrine Ruffel, W Richard McCombie, Dennis Shasha, Gloria M Coruzzi
This study exploits time, the relatively unexplored fourth dimension of gene regulatory networks (GRNs), to learn the temporal transcriptional logic underlying dynamic nitrogen (N) signaling in plants. Our "just-in-time" analysis of time-series transcriptome data uncovered a temporal cascade of cis elements underlying dynamic N signaling. To infer transcription factor (TF)-target edges in a GRN, we applied a time-based machine learning method to 2,174 dynamic N-responsive genes. We experimentally determined a network precision cutoff, using TF-regulated genome-wide targets of three TF hubs (CRF4, SNZ, and CDF1), used to "prune" the network to 155 TFs and 608 targets...
May 16, 2018: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29764970/reinforcement-signaling-of-punishment-versus-relief-in-fruit-flies
#5
Christian König, Afshin Khalili, Mathangi Ganesan, Amrita P Nishu, Alejandra P Garza, Thomas Niewalda, Bertram Gerber, Yoshinori Aso, Ayse Yarali
Painful events establish opponent memories: cues that precede pain are remembered negatively, whereas cues that follow pain, thus coinciding with relief are recalled positively. How do individual reinforcement-signaling neurons contribute to this "timing-dependent valence-reversal?" We addressed this question using an optogenetic approach in the fruit fly. Two types of fly dopaminergic neuron, each comprising just one paired cell, indeed established learned avoidance of odors that preceded their photostimulation during training, and learned approach to odors that followed the photostimulation...
June 2018: Learning & Memory
https://www.readbyqxmd.com/read/29751806/pain-medicine-content-teaching-and-assessment-in-medical-school-curricula-in-australia-and-new-zealand
#6
Elspeth Erica Shipton, Frank Bate, Raymond Garrick, Carole Steketee, Eric John Visser
BACKGROUND: The objective of pain medicine education is to provide medical students with opportunities to develop their knowledge, skills and professional attitudes that will lead to their becoming safe, capable, and compassionate medical practitioners who are able to meet the healthcare needs of persons in pain. This study was undertaken to identify and describe the delivery of pain medicine education at medical schools in Australia and New Zealand. METHOD: All 23 medical schools in Australia and New Zealand in 2016 were included in this study...
May 11, 2018: BMC Medical Education
https://www.readbyqxmd.com/read/29745527/-the-research-on-cardiac-volume-time-relationship-based-on-retrospective-electrocardiograph-four-dimension-computer-tomography-data-collection-and-structured-sparse-algorithm
#7
Meng Li, Peng Zhao, Jingjing Xiao, Linbo Qiao, Wencai Pan, Shuang Wang, Yinbao Chong
This paper explores the relationship between the cardiac volume and time, which is applied to control dynamic heart phantom. We selected 50 patients to collect their cardiac computed tomography angiography (CTA) images, which have 20 points in time series CTA images using retrospective electrocardiograph gating, and measure the volume of four chamber in 20-time points with cardiac function analysis software. Then we grouped patients by gender, age, weight, height, heartbeat, and utilize repeated measurement design to conduct statistical analyses...
April 1, 2018: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29715574/insights-from-parents-of-a-child-with-leukaemia-and-healthcare-professionals-about-sharing-illness-and-treatment-information-a-qualitative-research-study
#8
Faith Gibson, Stephanie Kumpunen, Gemma Bryan, Liz Forbat
BACKGROUND: Many parents report a strong desire to take on information-giving roles, and believe they are best positioned to discuss their child's illness with their child. Healthcare professionals have a supporting role to reduce the burden on parents who feel responsible for conveying information to their child and other family members. OBJECTIVE: To examine parents' and healthcare professionals' perceptions of roles in receiving and communicating information when a child is diagnosed with and treated for acute lymphoblastic leukaemia...
April 13, 2018: International Journal of Nursing Studies
https://www.readbyqxmd.com/read/29713864/-success-quotas-in-exercise-questions-in-the-discipline-of-rheumatology-in-preparation-for-the-written-state-examination-in-german-universities-from-2012-to-2016-evaluation-of-the-amboss-databank-according-to-professorships-in-rheumatology-with-and-without
#9
R Sengewein, R Brinks, G Pongratz
The discipline rheumatology is underrepresented in German universities with only seven professorial chairs with freedom of instruction. The teaching positions with and without freedom of instruction are associated with a different quantity of teaching. The effect of the teaching position on the quality of teaching and on the training of medical students is unclear. In order to approach the answer to this question we have evaluated 2,610,217 examination questions from 32,166 students over a time period of 4 years according to location and freedom of instruction, which are documented on the teaching platform AMBOSS...
April 30, 2018: Zeitschrift Für Rheumatologie
https://www.readbyqxmd.com/read/29708944/multivariate-machine-learning-distinguishes-cross-network-dynamic-functional-connectivity-patterns-in-state-and-trait-neuropathic-pain
#10
J C Cheng, A Rogachov, K S Hemington, A Kucyi, R L Bosma, M A Lindquist, R D Inman, K D Davis
Communication within the brain is dynamic. Chronic pain can also be dynamic, with varying intensities experienced over time. Little is known of how brain dynamics are disrupted in chronic pain, or relates to patients' pain assessed at various time-scales (e.g., short-term state versus long-term trait). Patients experience pain "traits" indicative of their general condition, but also pain "states" that vary day to day. Here, we used network-based multivariate machine learning to determine how patterns in dynamic and static brain communication are related to different characteristics and timescales of chronic pain...
April 26, 2018: Pain
https://www.readbyqxmd.com/read/29674313/key-lessons-and-impact-of-the-growing-healthy-mhealth-program-on-milk-feeding-timing-of-introduction-of-solids-and-infant-growth-quasi-experimental-study
#11
Rachel A Laws, Elizabeth A Denney-Wilson, Sarah Taki, Catherine G Russell, Miaobing Zheng, Eloise-Kate Litterbach, Kok-Leong Ong, Sharyn J Lymer, Rosalind Elliott, Karen J Campbell
BACKGROUND: The first year of life is an important window to initiate healthy infant feeding practices to promote healthy growth. Interventions delivered by mobile phone (mHealth) provide a novel approach for reaching parents; however, little is known about the effectiveness of mHealth for child obesity prevention. OBJECTIVE: The objective of this study was to determine the feasibility and effectiveness of an mHealth obesity prevention intervention in terms of reach, acceptability, and impact on key infant feeding outcomes...
April 19, 2018: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/29657509/a-tensor-statistical-model-for-quantifying-dynamic-functional-connectivity
#12
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
Functional connectivity (FC) has been widely investigated in many imaging-based neuroscience and clinical studies. Since functional Magnetic Resonance Image (MRI) signal is just an indirect reflection of brain activity, it is difficult to accurately quantify the FC strength only based on signal correlation. To address this limitation, we propose a learning-based tensor model to derive high sensitivity and specificity connectome biomarkers at the individual level from resting-state fMRI images. First, we propose a learning-based approach to estimate the intrinsic functional connectivity...
June 2017: Information Processing in Medical Imaging: Proceedings of the ... Conference
https://www.readbyqxmd.com/read/29649558/feasibility-of-a-real-time-hand-hygiene-notification-machine-learning-system-in-outpatient-clinics
#13
Roel Geilleit, Hen Zhi Qian, Chong Chia Yin, Loh Ai Poh, Pang Nguk Lan, Gregory M Peterson, Ng Kee Chong, Anita Huis, Dirk F de Korne
BACKGROUND: Various technologies have been developed to improve hand hygiene (HH) compliance in inpatient settings; however, little is known about the feasibility of machine learning technology for this purpose in outpatient clinics. AIM: To assess the effectiveness, user experiences and costs of implementing a real-time HH notification machine learning system in outpatient clinics. METHODS: In our mixed methods study, a multidisciplinary team co-created an infrared guided sensor system to automatically notify clinicians to perform HH just before first patient contact...
April 9, 2018: Journal of Hospital Infection
https://www.readbyqxmd.com/read/29643079/age-at-menopause-and-lifetime-cognition-findings-from-a-british-birth-cohort-study
#14
Diana Kuh, Rachel Cooper, Adam Moore, Marcus Richards, Rebecca Hardy
OBJECTIVE: We investigated whether cognitive performance between ages 43 and 69 years was associated with timing of menopause, controlling for hormone replacement therapy, childhood cognitive ability, and sociobehavioral factors. METHODS: We used data from 1,315 women participating in the Medical Research Council National Survey of Health and Development (a British birth cohort study) with known age at period cessation and up to 4 assessments of verbal memory (word-learning task) and processing speed (letter-cancellation task) at ages 43, 53, 60-64, and 69...
April 11, 2018: Neurology
https://www.readbyqxmd.com/read/29617911/ontrack-development-and-feasibility-of-a-smartphone-app-designed-to-predict-and-prevent-dietary-lapses
#15
Evan M Forman, Stephanie P Goldstein, Fenqing Zhang, Brittney C Evans, Stephanie M Manasse, Meghan L Butryn, Adrienne S Juarascio, Pramod Abichandani, Gerald J Martin, Gary D Foster
Given that the overarching goal of weight loss programs is to remain adherent to a dietary prescription, specific moments of nonadherence known as "dietary lapses" can threaten weight control via the excess energy intake they represent and by provoking future lapses. Just-in-time adaptive interventions could be particularly useful in preventing dietary lapses because they use real-time data to generate interventions that are tailored and delivered at a moment computed to be of high risk for a lapse...
March 29, 2018: Translational Behavioral Medicine
https://www.readbyqxmd.com/read/29611081/impact-of-robot-assisted-spine-surgery-on-health-care-quality-and-neurosurgical-economics-a-systemic-review
#16
REVIEW
Brian Fiani, Syed A Quadri, Mudassir Farooqui, Alessandra Cathel, Blake Berman, Jerry Noel, Javed Siddiqi
Whenever any new technology is introduced into the healthcare system, it should satisfy all three pillars of the iron triangle of health care, which are quality, cost-effectiveness, and accessibility. There has been quite advancement in the field of spine surgery in the last two decades with introduction of new technological modalities such as CAN and surgical robotic devices. MAZOR SpineAssist/Renaissance was the first robotic system to be approved for the use in spine surgeries in the USA in 2004. In this review, the authors sought to determine if the current literature supports this technology to be cost-effective, accessible, and improve the quality of care for individuals and populations by increasing the likelihood of desired health outcomes...
April 3, 2018: Neurosurgical Review
https://www.readbyqxmd.com/read/29604816/single-molecule-force-spectroscopy-at-high-data-acquisition-a-bayesian-nonparametric-analysis
#17
Ioannis Sgouralis, Miles Whitmore, Lisa Lapidus, Matthew J Comstock, Steve Pressé
Bayesian nonparametrics (BNPs) are poised to have a deep impact in the analysis of single molecule data as they provide posterior probabilities over entire models consistent with the supplied data, not just model parameters of one preferred model. Thus they provide an elegant and rigorous solution to the difficult problem encountered when selecting an appropriate candidate model. Nevertheless, BNPs' flexibility to learn models and their associated parameters from experimental data is a double-edged sword. Most importantly, BNPs are prone to increasing the complexity of the estimated models due to artifactual features present in time traces...
March 28, 2018: Journal of Chemical Physics
https://www.readbyqxmd.com/read/29593089/language-acquisition-with-communication-between-learners
#18
Rasmus Ibsen-Jensen, Josef Tkadlec, Krishnendu Chatterjee, Martin A Nowak
We consider a class of students learning a language from a teacher. The situation can be interpreted as a group of child learners receiving input from the linguistic environment. The teacher provides sample sentences. The students try to learn the grammar from the teacher. In addition to just listening to the teacher, the students can also communicate with each other. The students hold hypotheses about the grammar and change them if they receive counter evidence. The process stops when all students have converged to the correct grammar...
March 2018: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/29565288/resonance-based-time-frequency-manifold-for-feature-extraction-of-ship-radiated-noise
#19
Jiaquan Yan, Haixin Sun, Hailan Chen, Naveed Ur Rehman Junejo, En Cheng
In this paper, a novel time-frequency signature using resonance-based sparse signal decomposition (RSSD), phase space reconstruction (PSR), time-frequency distribution (TFD) and manifold learning is proposed for feature extraction of ship-radiated noise, which is called resonance-based time-frequency manifold (RTFM). This is suitable for analyzing signals with oscillatory, non-stationary and non-linear characteristics in a situation of serious noise pollution. Unlike the traditional methods which are sensitive to noise and just consider one side of oscillatory, non-stationary and non-linear characteristics, the proposed RTFM can provide the intact feature signature of all these characteristics in the form of a time-frequency signature by the following steps: first, RSSD is employed on the raw signal to extract the high-oscillatory component and abandon the low-oscillatory component...
March 22, 2018: Sensors
https://www.readbyqxmd.com/read/29563867/convis-a-toolbox-to-fit-and-simulate-filter-based-models-of-early-visual-processing
#20
Jacob Huth, Timothée Masquelier, Angelo Arleo
We developed Convis , a Python simulation toolbox for large scale neural populations which offers arbitrary receptive fields by 3D convolutions executed on a graphics card. The resulting software proves to be flexible and easily extensible in Python, while building on the PyTorch library (The Pytorch Project, 2017), which was previously used successfully in deep learning applications, for just-in-time optimization and compilation of the model onto CPU or GPU architectures. An alternative implementation based on Theano (Theano Development Team, 2016) is also available, although not fully supported...
2018: Frontiers in Neuroinformatics
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