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Problem based learning

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https://www.readbyqxmd.com/read/29470591/-differences-in-subjective-health-mental-health-and-health-behavior-among-11-to-17-year-olds-at-secondary-schools-in-germany-results-of-the-german-health-interview-and-examination-survey-for-children-and-adolescents-first-follow-up-kiggs-wave-1
#1
Julia Waldhauer, Benjamin Kuntz, Thomas Lampert
BACKGROUND: Social inequalities in health can already be found among children and adolescents to the disadvantage of socially deprived population groups. This paper aims to detect, whether differences in subjective health, mental health and health behavior among young people are due to the secondary school type attended and whether these associations exist independently of the family's socioeconomic position (SEP). METHODS: The data basis was the German Health Interview and Examination Survey for Children and Adolescents (KiGGS Wave 1, 2009-2012)...
February 22, 2018: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
https://www.readbyqxmd.com/read/29470237/primary-shoulder-hemiarthroplasty-what-can-be-learned-from-359-cases-that-were-surgically-revised
#2
Daniel J Hackett, Jason E Hsu, Frederick A Matsen
BACKGROUND: Primary shoulder hemiarthroplasty is used to address a range of glenohumeral disorders, including fracture, arthritis, avascular necrosis, and capsulorrhaphy arthropathy; some patients with hemiarthroplasties undergo revision surgery for persistent pain or residual shoulder dysfunction. The literature does not clarify the features of the hemiarthroplasties having repeat surgery in a way that can guide surgeons' efforts to minimize the need for revision. To help address this gap, we analyzed the characteristics of patients from our region for whom we performed surgical revision of a prior humeral hemiarthroplasty QUESTIONS/PURPOSES: (1) What are the common characteristics of shoulder hemiarthroplasties having a revision? (2) What are the common characteristics of the subset of revised shoulder hemiarthroplasties that were performed for fracture? (3) What are characteristics of the subset of all revised hemiarthroplasties that were associated with glenoid bone erosion? METHODS: Data for 983 patients for whom we performed a surgical revision of any type of shoulder arthroplasty between January 1991 and January 2017 were identified in our longitudinally maintained institutional arthroplasty revision database...
February 21, 2018: Clinical Orthopaedics and related Research
https://www.readbyqxmd.com/read/29470171/hyperspectral-image-classification-with-markov-random-fields-and-a-convolutional-neural-network
#3
Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John Paisley
This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian framework. First, we formulate the HSI classification problem from a Bayesian perspective. Then, we adopt a convolutional neural network (CNN) to learn the posterior class distributions using a patch-wise training strategy to better use the spatial information. Next, spatial information is further considered by placing a spatial smoothness prior on the labels...
May 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29467602/feature-selection-methods-for-robust-decoding-of-finger-movements-in-a-non-human-primate
#4
Subash Padmanaban, Justin Baker, Bradley Greger
Objective: The performance of machine learning algorithms used for neural decoding of dexterous tasks may be impeded due to problems arising when dealing with high-dimensional data. The objective of feature selection algorithms is to choose a near-optimal subset of features from the original feature space to improve the performance of the decoding algorithm. The aim of our study was to compare the effects of four feature selection techniques, Wilcoxon signed-rank test, Relative Importance, Principal Component Analysis (PCA), and Mutual Information Maximization on SVM classification performance for a dexterous decoding task...
2018: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29466026/opposition-based-memetic-algorithm-and-hybrid-approach-for-sorting-permutations-by-reversals
#5
José Luis Soncco-Álvarez, Daniel M Muñoz, Mauricio Ayala-Rincón
Sorting unsigned permutations by reversals is a difficult problem, indeed it was proved to be NP-hard by Caprara. Because of its high complexity, many approximation algorithms to compute the minimal reversal distance were proposed until reaching the nowadays best known theoretical ratio of 1.375. In this paper two memetic algorithms to compute the reversal distance are proposed: the first one uses the technique of opposition-based learning leading to an opposition-based memetic algorithm; the second one improves the previous algorithm by applying the heuristic of two breakpoint elimination leading to a hybrid approach...
February 21, 2018: Evolutionary Computation
https://www.readbyqxmd.com/read/29464432/sharpness-aware-low-dose-ct-denoising-using-conditional-generative-adversarial-network
#6
Xin Yi, Paul Babyn
Low-dose computed tomography (LDCT) has offered tremendous benefits in radiation-restricted applications, but the quantum noise as resulted by the insufficient number of photons could potentially harm the diagnostic performance. Current image-based denoising methods tend to produce a blur effect on the final reconstructed results especially in high noise levels. In this paper, a deep learning-based approach was proposed to mitigate this problem. An adversarially trained network and a sharpness detection network were trained to guide the training process...
February 20, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/29462807/the-return-of-fear-variation-of-the-serotonin-transporter-gene-predicts-outcome-of-a-highly-standardized-exposure-based-one-session-fear-treatment
#7
André Wannemüller, Dirk Moser, Robert Kumsta, Hans-Peter Jöhren, Jürgen Margraf
BACKGROUND: Methodological problems of existing research, such as the application of unstandardized treatments in heterogeneous samples, has hampered clear conclusions about the extent and direction to which allelic variation of the serotonin transporter gene-linked polymorphic region (5- HTTLPR) is associated with a differential response to psychological treatment. The present study aimed to investigate the effects of the 5-HTTLPR genotype on treatment outcome under highly standardized environmental conditions...
February 21, 2018: Psychotherapy and Psychosomatics
https://www.readbyqxmd.com/read/29462625/enhanced-prediction-of-recombination-hotspots-using-input-features-extracted-by-class-specific-autoencoders
#8
Abhigyan Nath, S Karthikeyan
In yeast and in some mammals the frequencies of recombination are high in some genomic locations which are known as recombination hotspots and in the locations where the recombination is below average are consequently known as coldspots. Knowledge of the hotspot regions gives clues about understanding the meiotic process and also in understanding the possible effects of sequence variation in these regions. Moreover, accurate information about the hotspot and coldspot regions can reveal insights into the genome evolution...
February 17, 2018: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/29460499/implications-of-odera-oruka-s-ethics-of-consumerism-for-reducing-globesity
#9
Ademola Kazeem Fayemi
In this paper, I advance Odera Oruka's insights on the ethics of consumerism in order to draw relevant implications of his thoughts on rethinking the problem of obesity. I argue that Oruka's ethics of consumerism and his right to human minimum theory entail some salient ideas that might serve as a better ethical model for reducing the global obesity prevalence. Though Oruka's African moral philosophy is yet to receive universal attention it arguably deserves, the interests of the international and 'globesity' community would be better served learning from the contributions of an African moral theory to contemporary bioethical discourse on obesity...
February 20, 2018: Developing World Bioethics
https://www.readbyqxmd.com/read/29457585/training-nurses-in-a-competency-framework-to-support-adults-with-epilepsy-and-intellectual-disability-the-epaid-cluster-rct
#10
Howard Ring, James Howlett, Mark Pennington, Christopher Smith, Marcus Redley, Caroline Murphy, Roxanne Hook, Adam Platt, Nakita Gilbert, Elizabeth Jones, Joanna Kelly, Angela Pullen, Adrian Mander, Cam Donaldson, Simon Rowe, James Wason, Fiona Irvine
BACKGROUND: People with an intellectual (learning) disability (ID) and epilepsy have an increased seizure frequency, higher frequencies of multiple antiepileptic drug (AED) use and side effects, higher treatment costs, higher mortality rates and more behavioural problems than the rest of the population with epilepsy. The introduction of nurse-led care may lead to improvements in outcome for those with an ID and epilepsy; however, this has not been tested in a definitive clinical trial...
February 2018: Health Technology Assessment: HTA
https://www.readbyqxmd.com/read/29456436/learning-activity-predictors-from-sensor-data-algorithms-evaluation-and-applications
#11
Bryan Minor, Janardhan Rao Doppa, Diane J Cook
Recent progress in Internet of Things (IoT) platforms has allowed us to collect large amounts of sensing data. However, there are significant challenges in converting this large-scale sensing data into decisions for real-world applications. Motivated by applications like health monitoring and intervention and home automation we consider a novel problem called Activity Prediction , where the goal is to predict future activity occurrence times from sensor data. In this paper, we make three main contributions...
December 1, 2017: IEEE Transactions on Knowledge and Data Engineering
https://www.readbyqxmd.com/read/29453189/evaluating-the-care4carer-blended-care-intervention-for-partners-of-patients-with-acquired-brain-injury-protocol-for-a-randomized-controlled-trial
#12
Vincent Cm Cox, Vera Pm Schepers, Marjolijn Ketelaar, Caroline M van Heugten, Johanna Ma Visser-Meily
BACKGROUND: Support programs for partners of patients with acquired brain injury are necessary since these partners experience several unfavorable consequences of caregiving, such as a high burden, emotional distress, and poor quality of life. Evidence-based support strategies that can be included in these support programs are psychoeducation, skill building, problem solving, and improving feelings of mastery. A promising approach would seem to be to combine web-based support with face-to-face consultations, creating a blended care intervention...
February 16, 2018: JMIR Research Protocols
https://www.readbyqxmd.com/read/29451082/the-short-term-placebo-response-in-children-with-attention-deficit-hyperactivity-disorder-adhd
#13
Ayala Cohen, Moran Plonsky-Toder, Emanuel Tirosh
To assess short-term placebo response in 6- to 13-year-old children with ADHD, children who were administered a double-blind placebo-methylphenidate trial, 1 week each, were included in the analysis. Conners' parents and Teacher Rating scales, the Aggregate Neurobehavioral Student Health and Educational Review inventory, and the Matching Familiar Figure Test were employed. A reduction of 30% or more in one or more of the teachers report subscales was observed in 18.8% of the participants. Attention test performance resulted in 58% of children exhibiting reduction in error rates and 36...
January 1, 2018: Journal of Child Neurology
https://www.readbyqxmd.com/read/29449872/citizen-crowds-and-experts-observer-variability-in-image-based-plant-phenotyping
#14
M Valerio Giuffrida, Feng Chen, Hanno Scharr, Sotirios A Tsaftaris
Background: Image-based plant phenotyping has become a powerful tool in unravelling genotype-environment interactions. The utilization of image analysis and machine learning have become paramount in extracting data stemming from phenotyping experiments. Yet we rely on observer (a human expert) input to perform the phenotyping process. We assume such input to be a 'gold-standard' and use it to evaluate software and algorithms and to train learning-based algorithms. However, we should consider whether any variability among experienced and non-experienced (including plain citizens) observers exists...
2018: Plant Methods
https://www.readbyqxmd.com/read/29448449/unsupervised-machine-learning-account-of-magnetic-transitions-in-the-hubbard-model
#15
Kelvin Ch'ng, Nick Vazquez, Ehsan Khatami
We employ several unsupervised machine learning techniques, including autoencoders, random trees embedding, and t-distributed stochastic neighboring ensemble (t-SNE), to reduce the dimensionality of, and therefore classify, raw (auxiliary) spin configurations generated, through Monte Carlo simulations of small clusters, for the Ising and Fermi-Hubbard models at finite temperatures. Results from a convolutional autoencoder for the three-dimensional Ising model can be shown to produce the magnetization and the susceptibility as a function of temperature with a high degree of accuracy...
January 2018: Physical Review. E
https://www.readbyqxmd.com/read/29447188/comparing-deep-learning-and-concept-extraction-based-methods-for-patient-phenotyping-from-clinical-narratives
#16
Sebastian Gehrmann, Franck Dernoncourt, Yeran Li, Eric T Carlson, Joy T Wu, Jonathan Welt, John Foote, Edward T Moseley, David W Grant, Patrick D Tyler, Leo A Celi
In secondary analysis of electronic health records, a crucial task consists in correctly identifying the patient cohort under investigation. In many cases, the most valuable and relevant information for an accurate classification of medical conditions exist only in clinical narratives. Therefore, it is necessary to use natural language processing (NLP) techniques to extract and evaluate these narratives. The most commonly used approach to this problem relies on extracting a number of clinician-defined medical concepts from text and using machine learning techniques to identify whether a particular patient has a certain condition...
2018: PloS One
https://www.readbyqxmd.com/read/29444787/randomised-controlled-pragmatic-clinical-trial-evaluating-the-effectiveness-of-a-discharge-follow-up-phone-call-on-30-day-hospital-readmissions-balancing-pragmatic-and-explanatory-design-considerations
#17
Maame Yaa A B Yiadom, Henry Domenico, Daniel Byrne, Michele Marie Hasselblad, Cheryl L Gatto, Sunil Kripalani, Neesha Choma, Sarah Tucker, Li Wang, Monisha C Bhatia, Johnston Morrison, Frank E Harrell, Tina Hartert, Gordon Bernard
INTRODUCTION: Hospital readmissions within 30 days are a healthcare quality problem associated with increased costs and poor health outcomes. Identifying interventions to improve patients' successful transition from inpatient to outpatient care is a continued challenge. METHODS AND ANALYSIS: This is a single-centre pragmatic randomised and controlled clinical trial examining the effectiveness of a discharge follow-up phone call to reduce 30-day inpatient readmissions...
February 14, 2018: BMJ Open
https://www.readbyqxmd.com/read/29443897/structured-kernel-subspace-learning-for-autonomous-robot-navigation
#18
Eunwoo Kim, Sungjoon Choi, Songhwai Oh
This paper considers two important problems for autonomous robot navigation in a dynamic environment, where the goal is to predict pedestrian motion and control a robot with the prediction for safe navigation. While there are several methods for predicting the motion of a pedestrian and controlling a robot to avoid incoming pedestrians, it is still difficult to safely navigate in a dynamic environment due to challenges, such as the varying quality and complexity of training data with unwanted noises. This paper addresses these challenges simultaneously by proposing a robust kernel subspace learning algorithm based on the recent advances in nuclear-norm and l 1 -norm minimization...
February 14, 2018: Sensors
https://www.readbyqxmd.com/read/29437847/dental-students-perceived-clinical-competence-in-prosthodontics-comparison-of-traditional-and-problem-based-learning-methodologies
#19
Javier Montero, Abraham Dib, Yasmina Guadilla, Javier Flores, Juan Antonio Santos, Rosa Anaya Aguilar, Cristina Gómez-Polo
The aim of this study was to compare the perceived competence for treating prosthodontic patients of two samples of fourth-year dental students: those educated using traditional methodologies and those educated using problem-based learning (PBL). Two cohorts of fourth-year dental students at a dental school in Spain were surveyed: the traditional methods cohort (n=46) was comprised of all students in academic years 2012 and 2013, and the PBL cohort (n=57) was comprised of all students in academic years 2014 and 2015...
February 2018: Journal of Dental Education
https://www.readbyqxmd.com/read/29437846/attitudes-towards-problem-based-learning-of-faculty-members-at-12-u-s-medical-and-dental-schools-a-comparative-study
#20
Ahmad Abdelkarim, Dorothy Schween, Timothy Ford
Problem-based learning (PBL) is a teaching method used in medical and dental education to promote students' problem-solving skills. It may also be a viable tool for interprofessional education in which medical and dental students learn together, collaborate, and learn about, from, and with each other. The aim of this study was to compare medical and dental faculty members' attitudes about and perceptions of PBL at 12 U.S. medical and dental schools known to use PBL. In 2015, 111 medical and 132 dental faculty members (combined n=243) from six medical and six dental schools completed a survey containing ten statements and an open comment section...
February 2018: Journal of Dental Education
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