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https://www.readbyqxmd.com/read/28098951/lessons-learned-from-a-practice-based-multisite-intervention-study-with-nurse-participants
#1
Christopher R Friese, Kari Mendelsohn-Victor, Pamela Ginex, Carol M McMahon, Alex J Fauer, Marjorie C McCullagh
PURPOSE: To identify challenges and solutions to the efficient conduct of a multisite, practice-based randomized controlled trial to improve nurses' adherence to personal protective equipment use in ambulatory oncology settings. DESIGN: The Drug Exposure Feedback and Education for Nurses' Safety (DEFENS) study is a clustered, randomized, controlled trial. Participating sites are randomized to Web-based feedback on hazardous drug exposures in the sites plus tailored messages to address barriers versus a control intervention of a Web-based continuing education video...
January 18, 2017: Journal of Nursing Scholarship
https://www.readbyqxmd.com/read/28098774/learning-to-diagnose-cirrhosis-with-liver-capsule-guided-ultrasound-image-classification
#2
Xiang Liu, Jia Lin Song, Shuo Hong Wang, Jing Wen Zhao, Yan Qiu Chen
This paper proposes a computer-aided cirrhosis diagnosis system to diagnose cirrhosis based on ultrasound images. We first propose a method to extract a liver capsule on an ultrasound image, then, based on the extracted liver capsule, we fine-tune a deep convolutional neural network (CNN) model to extract features from the image patches cropped around the liver capsules. Finally, a trained support vector machine (SVM) classifier is applied to classify the sample into normal or abnormal cases. Experimental results show that the proposed method can effectively extract the liver capsules and accurately classify the ultrasound images...
January 13, 2017: Sensors
https://www.readbyqxmd.com/read/28097997/the-4c-framework-for-making-reasonable-adjustments-for-people-with-learning-disabilities
#3
Daniel Marsden, Rachel Giles
Background People with learning disabilities experience significant inequalities in accessing healthcare. Legal frameworks, such as the Equality Act 2010, are intended to reduce such disparities in care, and require organisations to make 'reasonable adjustments' for people with disabilities, including learning disabilities. However, reasonable adjustments are often not clearly defined or adequately implemented in clinical practice. Aim To examine and synthesise the challenges in caring for people with learning disabilities to develop a framework for making reasonable adjustments for people with learning disabilities in hospital...
January 18, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28097060/why-choose-random-forest-to-predict-rare-species-distribution-with-few-samples-in-large-undersampled-areas-three-asian-crane-species-models-provide-supporting-evidence
#4
Chunrong Mi, Falk Huettmann, Yumin Guo, Xuesong Han, Lijia Wen
Species distribution models (SDMs) have become an essential tool in ecology, biogeography, evolution and, more recently, in conservation biology. How to generalize species distributions in large undersampled areas, especially with few samples, is a fundamental issue of SDMs. In order to explore this issue, we used the best available presence records for the Hooded Crane (Grus monacha, n = 33), White-naped Crane (Grus vipio, n = 40), and Black-necked Crane (Grus nigricollis, n = 75) in China as three case studies, employing four powerful and commonly used machine learning algorithms to map the breeding distributions of the three species: TreeNet (Stochastic Gradient Boosting, Boosted Regression Tree Model), Random Forest, CART (Classification and Regression Tree) and Maxent (Maximum Entropy Models)...
2017: PeerJ
https://www.readbyqxmd.com/read/28096745/your-teaching-strategy-matters-how-engagement-impacts-application-in-health-information-literacy-instruction
#5
Heather A Johnson, Laura Barrett
OBJECTIVE: The purpose of this study was to compare two pedagogical methods, active learning and passive instruction, to determine which is more useful in helping students to achieve the learning outcomes in a one-hour research skills instructional session. METHODS: Two groups of high school students attended an instructional session to learn about consumer health resources and strategies to enhance their searching skills. The first group received passive instruction, and the second engaged in active learning...
January 2017: Journal of the Medical Library Association: JMLA
https://www.readbyqxmd.com/read/28096741/a-day-in-the-life-of-third-year-medical-students-using-an-ethnographic-method-to-understand-information-seeking-and-use
#6
Andrea B Twiss-Brooks, Ricardo Andrade, Michelle B Bass, Barbara Kern, Jonna Peterson, Debra A Werner
OBJECTIVE: The authors undertook this project to learn how third-year medical students seek and use information in the course of daily activities, especially activities conducted in clinical settings in a variety of institutions. METHODS: We recruited sixty-eight third-year undergraduate medical school students to create a mapping diary of a day that included clinical activities. We conducted semi-structured interviews based on the mapping diaries. Using content and thematic analyses of the resulting interview transcripts, we developed an ethnographic case study for each participant...
January 2017: Journal of the Medical Library Association: JMLA
https://www.readbyqxmd.com/read/28096083/lrssl-predict-and-interpret-drug-disease-associations-based-on-data-integration-using-sparse-subspace-learning
#7
Xujun Liang, Pengfei Zhang, Lu Yan, Ying Fu, Fang Peng, Lingzhi Qu, Meiying Shao, Yongheng Chen, Zhuchu Chen
MOTIVATION: Exploring the potential curative effects of drugs is crucial for effective drug development. Previous studies have indicated that integration of multiple types of information could be conducive to discovering novel indications of drugs. However, how to efficiently identify the mechanism behind drug-disease associations while integrating data from different sources remains a challenging problem. RESULTS: In this research, we present a novel method for indication prediction of both new drugs and approved drugs...
January 17, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28096075/hpprna-a-snakemake-based-handy-parameter-free-pipeline-for-rna-seq-analysis-of-numerous-samples
#8
Dapeng Wang
RNA-Seq technology has been gradually becoming a routine approach for characterizing the properties of transcriptome in terms of organisms, cell types and conditions and consequently a big burden has been put on the facet of data analysis, which calls for an easy-to-learn workflow to cope with the increased demands from a large number of laboratories across the world. We report a one-in-all solution called hppRNA, composed of four scenarios such as pre-mapping, core-workflow, post-mapping and sequence variation detection, written by a series of individual Perl and R scripts, counting on well-established and preinstalled software, irrespective of single-end or paired-end, unstranded or stranded sequencing method...
January 17, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28095911/mistreatment-of-women-during-childbirth-in-abuja-nigeria-a-qualitative-study-on-perceptions-and-experiences-of-women-and-healthcare-providers
#9
Meghan A Bohren, Joshua P Vogel, Özge Tunçalp, Bukola Fawole, Musibau A Titiloye, Akinpelu Olanrewaju Olutayo, Modupe Ogunlade, Agnes A Oyeniran, Olubunmi R Osunsan, Loveth Metiboba, Hadiza A Idris, Francis E Alu, Olufemi T Oladapo, A Metin Gülmezoglu, Michelle J Hindin
BACKGROUND: Global efforts have increased facility-based childbirth, but substantial barriers remain in some settings. In Nigeria, women report that poor provider attitudes influence their use of maternal health services. Evidence also suggests that women in Nigeria may experience mistreatment during childbirth; however, there is limited understanding of how and why mistreatment this occurs. This study uses qualitative methods to explore women and providers' experiences and perceptions of mistreatment during childbirth in two health facilities and catchment areas in Abuja, Nigeria...
January 17, 2017: Reproductive Health
https://www.readbyqxmd.com/read/28095781/link-prediction-in-drug-target-interactions-network-using-similarity-indices
#10
Yiding Lu, Yufan Guo, Anna Korhonen
BACKGROUND: In silico drug-target interaction (DTI) prediction plays an integral role in drug repositioning: the discovery of new uses for existing drugs. One popular method of drug repositioning is network-based DTI prediction, which uses complex network theory to predict DTIs from a drug-target network. Currently, most network-based DTI prediction is based on machine learning - methods such as Restricted Boltzmann Machines (RBM) or Support Vector Machines (SVM). These methods require additional information about the characteristics of drugs, targets and DTIs, such as chemical structure, genome sequence, binding types, causes of interactions, etc...
January 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28095769/pcm-sabre-a-platform-for-benchmarking-and-comparing-outcome-prediction-methods-in-precision-cancer-medicine
#11
Noah Eyal-Altman, Mark Last, Eitan Rubin
BACKGROUND: Numerous publications attempt to predict cancer survival outcome from gene expression data using machine-learning methods. A direct comparison of these works is challenging for the following reasons: (1) inconsistent measures used to evaluate the performance of different models, and (2) incomplete specification of critical stages in the process of knowledge discovery. There is a need for a platform that would allow researchers to replicate previous works and to test the impact of changes in the knowledge discovery process on the accuracy of the induced models...
January 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28095583/is-it-my-job-the-role-of-rns-in-the-assessment-and-identification-of-delirium-in-hospitalized-older-adults-an-exploratory-qualitative-study
#12
Miriam Anne Coyle, Pippa Burns, Victoria Traynor
HOW TO OBTAIN CONTACT HOURS BY READING THIS ARTICLE INSTRUCTIONS XX contact hours will be awarded by Villanova University College of Nursing upon successful completion of this activity. A contact hour is a unit of measurement that denotes 60 minutes of an organized learning activity. This is a learner-based activity. Villanova University College of Nursing does not require submission of your answers to the quiz. A contact hour certificate will be awarded once you register, pay the registration fee, and complete the evaluation form online at http://goo...
January 17, 2017: Journal of Gerontological Nursing
https://www.readbyqxmd.com/read/28095408/patient-safety-incidents-involving-sick-children-in-primary-care-in-england-and-wales-a-mixed-methods-analysis
#13
Philippa Rees, Adrian Edwards, Colin Powell, Peter Hibbert, Huw Williams, Meredith Makeham, Ben Carter, Donna Luff, Gareth Parry, Anthony Avery, Aziz Sheikh, Liam Donaldson, Andrew Carson-Stevens
BACKGROUND: The UK performs poorly relative to other economically developed countries on numerous indicators of care quality for children. The contribution of iatrogenic harm to these outcomes is unclear. As primary care is the first point of healthcare contact for most children, we sought to investigate the safety of care provided to children in this setting. METHODS AND FINDINGS: We undertook a mixed methods investigation of reports of primary care patient safety incidents involving sick children from England and Wales' National Reporting and Learning System between 1 January 2005 and 1 December 2013...
January 2017: PLoS Medicine
https://www.readbyqxmd.com/read/28095281/nurses-attitudes-toward-intervening-with-smokers-their-knowledge-opinion-and-e-learning-impact
#14
Eva Králíková, Vladislava Felbrová, Stanislava Kulovaná, Kateřina Malá, Iveta Nohavová, Eva Roubíčková, Alexandra Pánková, Stella A Bialous, Marjorie J Wells, Jenny Brook, Linda Sarna
BACKGROUND: Numbering about 90,000, nurses represent the largest group of health care providers in the Czech Republic. Therefore, nurses can make a significant impact in the treatment of tobacco dependence, particularly in applying brief interventions to smokers. METHODS: During 2014, 279 nurses from the Czech Republic participated in an e-learning education programme consisting of two Webcasts with additional web-based resources about smoking cessation in relation to health and treatment options in daily clinical practice, particularly regarding brief intervention methods...
December 2016: Central European Journal of Public Health
https://www.readbyqxmd.com/read/28095203/avoiding-optimal-mean-%C3%A2-2-1-norm-maximization-based-robust-pca-for-reconstruction
#15
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G Hauptmann, Qinghua Zhang
Robust principal component analysis (PCA) is one of the most important dimension-reduction techniques for handling high-dimensional data with outliers. However, most of the existing robust PCA presupposes that the mean of the data is zero and incorrectly utilizes the average of data as the optimal mean of robust PCA. In fact, this assumption holds only for the squared [Formula: see text]-norm-based traditional PCA. In this letter, we equivalently reformulate the objective of conventional PCA and learn the optimal projection directions by maximizing the sum of projected difference between each pair of instances based on [Formula: see text]-norm...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28095193/semisupervised-multilabel-multi-instance-learning-for-structured-data
#16
Hossein Soleimani, David J Miller
Many classification tasks require both labeling objects and determining label associations for parts of each object. Example applications include labeling segments of images or determining relevant parts of a text document when the training labels are available only at the image or document level. This task is usually referred to as multi-instance (MI) learning, where the learner typically receives a collection of labeled (or sometimes unlabeled) bags, each containing several segments (instances). We propose a semisupervised MI learning method for multilabel classification...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28094850/discriminating-solitary-cysts-from-soft-tissue-lesions-in-mammography-using-a-pretrained-deep-convolutional-neural-network
#17
Thijs Kooi, Bram van Ginneken, Nico Karssemeijer, Ard den Heeten
PURPOSE: It is estimated that 7% of women in the western world will develop palpable breast cysts in their lifetime. Even though cysts have been correlated with risk of developing breast cancer, many of them are benign and do not require follow-up. We develop a method to discriminate benign solitary cysts from malignant masses in digital mammography. We think a system like this can have merit in the clinic as a decision aid or complementary to specialised modalities. METHODS: We employ a deep Convolutional Neural Network (CNN) to classify cyst and mass patches...
January 17, 2017: Medical Physics
https://www.readbyqxmd.com/read/28094425/learning-curve-in-anatomo-electrophysiological-correlations-in-subthalamic-nucleus-stimulation
#18
Dušan Hrabovsky, Marek Balaz, Martina Bockova, Věra Feitova, Zdeněk Novak, Jan Chrastina
AIM: Advances in neuroradiological planning techniques in deep brain stimulation put the need for intraoperative electrophysiological monitoring into doubt. Moreover intraoperative monitoring prolongs surgical time and there is potential association between the use of microelectrodes and increased incidence of hemorrhagic complications Material and Methods: The study analyzes the correlation between the anatomically planned trajectory and the final subthalamic electrode placement after electrophysiological monitoring in patients with Parkinson's disease and its change with the increasing experience of the surgical team...
December 14, 2016: Turkish Neurosurgery
https://www.readbyqxmd.com/read/28094317/data-mining-of-molecular-dynamics-data-reveals-li-diffusion-characteristics-in-garnet-li7la3zr2o12
#19
Chi Chen, Ziheng Lu, Francesco Ciucci
Understanding Li diffusion in solid conductors is essential for the next generation Li batteries. Here we show that density-based clustering of the trajectories computed using molecular dynamics simulations helps elucidate the Li diffusion mechanism within the Li7La3Zr2O12 (LLZO) crystal lattice. This unsupervised learning method recognizes lattice sites, is able to give the site type, and can identify Li hopping events. Results show that, while the cubic LLZO has a much higher hopping rate compared to its tetragonal counterpart, most of the Li hops in the cubic LLZO do not contribute to the diffusivity due to the dominance of back-and-forth type jumps...
January 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28094063/a-change-in-landscape-lessons-learned-from-abandonment-of-ancient-wari-agricultural-terraces-in-southern-peru
#20
Ana C Londoño, Patrick Ryan Williams, Megan L Hart
Ancient agricultural terrace practices have survived for millennia, sustaining populations through extreme climatic shifts and political regime changes. In arid regions with abrupt relief such as Southern Peru, agricultural terracing is undergoing a resurgence, as has seen revitalization of once abandoned terrace and hydraulic systems. Wari terraces at Cerro Baul provide clues to past cultural practices. They also document sustainable farming practices by using resilient land management techniques which can help combat desertification and degradation of arable lands...
January 13, 2017: Journal of Environmental Management
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