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https://www.readbyqxmd.com/read/28429061/natural-resource-management-schemes-as-entry-points-for-integrated-landscape-approaches-evidence-from-ghana-and-burkina-faso
#1
Samson Foli, Mirjam A F Ros-Tonen, James Reed, Terry Sunderland
In recognition of the failures of sectoral approaches to overcome global challenges of biodiversity loss, climate change, food insecurity and poverty, scientific discourse on biodiversity conservation and sustainable development is shifting towards integrated landscape governance arrangements. Current landscape initiatives however very much depend on external actors and funding, raising the question of whether, and how, and under what conditions, locally embedded resource management schemes can serve as entry points for the implementation of integrated landscape approaches...
April 20, 2017: Environmental Management
https://www.readbyqxmd.com/read/28428140/automated-annotation-and-classification-of-bi-rads-assessment-from-radiology-reports
#2
Sergio M Castro, Eugene Tseytlin, Olga Medvedeva, Kevin Mitchell, Shyam Visweswaran, Tanja Bekhuis, Rebecca S Jacobson
The Breast Imaging Reporting and Data System (BI-RADS) was developed to reduce variation in the descriptions of findings. Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality assurance activities. The objective of this study is to develop a natural language processing (NLP) system for automated BI-RADS categories extraction from breast radiology reports. We evaluated an existing rule-based NLP algorithm, and then we developed and evaluated our own method using a supervised machine learning approach...
April 17, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28426520/nursing-practice-research-and-education-in-the-west-the-best-is-yet-to-come
#3
Heather M Young, Susan Bakewell-Sachs, Linda Sarna
PURPOSE: This paper celebrates the 60th anniversary of the Western Institute of Nursing, the nursing organization representing 13 states in the Western United States, and envisions a preferred future for nursing practice, research, and education. BACKGROUND: Three landmark calls to action contribute to transforming nursing and healthcare: the Patient Protection and Affordable Care Act of 2010; the Institute of Medicine report Future of Nursing: Leading Change, Advancing Health; and the report Advancing Healthcare Transformation: A New Era for Academic Nursing...
April 20, 2017: Nursing Research
https://www.readbyqxmd.com/read/28426457/race-differences-in-initial-presentation-early-treatment-and-1-year-outcomes-of-pediatric-crohn-s-disease-results-from-the-improvecarenow-network
#4
Jennifer L Dotson, Michele Cho, Josh Bricker, Michael D Kappelman, Deena J Chisolm, Gitit Tomer, Wallace V Crandall
BACKGROUND: Racially disparate care has been shown to contribute to suboptimal health care outcomes for minorities. Using the ImproveCareNow network, we investigated differences in management and outcomes of pediatric patients with Crohn's disease at diagnosis and 1-year postdiagnosis. METHODS: ImproveCareNow is a learning health network for pediatric inflammatory bowel disease. It contains prospective, longitudinal data from outpatient encounters. This retrospective study included all patients with Crohn's disease ≤21 years, September 2006 to October 2014, with the first recorded encounter ≤90 days from date of diagnosis and an encounter 1 year ±60 days...
May 2017: Inflammatory Bowel Diseases
https://www.readbyqxmd.com/read/28426302/innovations-in-population-health-surveillance-using-electronic-health-records-for-chronic-disease-surveillance
#5
Sharon E Perlman, Katharine H McVeigh, Lorna E Thorpe, Laura Jacobson, Carolyn M Greene, R Charon Gwynn
With 87% of providers using electronic health records (EHRs) in the United States, EHRs have the potential to contribute to population health surveillance efforts. However, little is known about using EHR data outside syndromic surveillance and quality improvement. We created an EHR-based population health surveillance system called the New York City (NYC) Macroscope and assessed the validity of diabetes, hyperlipidemia, hypertension, smoking, obesity, depression, and influenza vaccination indicators. The NYC Macroscope uses aggregate data from a network of outpatient practices...
April 20, 2017: American Journal of Public Health
https://www.readbyqxmd.com/read/28424551/interprofessional-education-for-internationally-educated-health-professionals-an-environmental-scan
#6
REVIEW
Mubashir Arain, Esther Suter, Sara Mallinson, Shelanne L Hepp, Siegrid Deutschlander, Shyama Dilani Nanayakkara, Elizabeth Louise Harrison, Grace Mickelson, Lesley Bainbridge, Ruby E Grymonpre
OBJECTIVE: The objective of this environmental scan was to identify Western Canadian interprofessional education (IPE) resources that currently exist for internationally educated health professionals (IEHPs). METHODOLOGY: A web-based search was conducted to identify learning resources meeting defined inclusion criteria with a particular focus on the resources available in the Western Canadian provinces. Information was extracted using a standardized template, and we contacted IEHP programs for additional information if necessary...
2017: Journal of Multidisciplinary Healthcare
https://www.readbyqxmd.com/read/28423752/a-decision-support-system-for-cardiac-disease-diagnosis-based-on-machine-learning-methods
#7
Arash Gharehbaghi, Maria Lindén, Ankica Babic
This paper proposes a decision support system for screening pediatric cardiac disease in primary healthcare centres relying on the heart sound time series analysis. The proposed system employs our processing method which is based on the hidden Markov model for extracting appropriate information from the time series. The binary output resulting from the method is discriminative for the two classes of time series existing in our databank, corresponding to the children with heart disease and the healthy ones. A total 90 children referrals to a university hospital, constituting of 55 healthy and 35 children with congenital heart disease, were enrolled into the study after obtaining the informed consent...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28423455/simulation-and-curriculum-design-a-global-survey-in-dental-education
#8
S Perry, M F Burrow, W K Leung, S M Bridges
BACKGROUND: Curriculum reforms are being driven by globalisation and international standardisation. Although new information technologies such as dental haptic virtual reality (VR) simulation systems have provided potential new possibilities for clinical learning in dental curricula, infusion into curricula requires careful planning. METHODS: This study aimed to identify current patterns in the role and integration of simulation in dental degree curricula internationally...
April 19, 2017: Australian Dental Journal
https://www.readbyqxmd.com/read/28422954/identification-of-the-contribution-of-contact-and-aerial-biomechanical-parameters-in-acrobatic-performance
#9
Diane Haering, Aurore Huchez, Franck Barbier, Patrice Holvoët, Mickaël Begon
INTRODUCTION: Teaching acrobatic skills with a minimal amount of repetition is a major challenge for coaches. Biomechanical, statistical or computer simulation tools can help them identify the most determinant factors of performance. Release parameters, change in moment of inertia and segmental momentum transfers were identified in the prediction of acrobatics success. The purpose of the present study was to evaluate the relative contribution of these parameters in performance throughout expertise or optimisation based improvements...
2017: PloS One
https://www.readbyqxmd.com/read/28422650/joint-magnetic-calibration-and-localization-based-on-expectation-maximization-for-tongue-tracking
#10
Jun Lu, Zhongtao Yang, Klaus Okkelberg, Maysam Ghovanloo
BACKGROUND: Tongue tracking, which helps researchers gain valuable insights into speech mechanism, has many applications in speech therapy and language learning. The wireless localization technique, which involves tracking a small magnetic tracer within the 3-D oral space, provides a low cost and convenient approach to capture tongue kinematics. In practice, this technique requires accurate calibration of 3-axial magnetic sensors used in the tracking system. The data-driven calibration depends on the trajectories of magnetic tracer and the ambient noise, which may change across time and space...
April 12, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28422152/towards-automatic-pulmonary-nodule-management-in-lung-cancer-screening-with-deep-learning
#11
Francesco Ciompi, Kaman Chung, Sarah J van Riel, Arnaud Arindra Adiyoso Setio, Paul K Gerke, Colin Jacobs, Ernst Th Scholten, Cornelia Schaefer-Prokop, Mathilde M W Wille, Alfonso Marchianò, Ugo Pastorino, Mathias Prokop, Bram van Ginneken
The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT scans in the near future, which radiologists will have to read in order to decide on a patient follow-up strategy. According to the current guidelines, the workup of screen-detected nodules strongly relies on nodule size and nodule type. In this paper, we present a deep learning system based on multi-stream multi-scale convolutional networks, which automatically classifies all nodule types relevant for nodule workup...
April 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28420954/multiple-kernel-based-region-importance-learning-for-neural-classification-of-gait-states-from-eeg-signals
#12
Yuhang Zhang, Saurabh Prasad, Atilla Kilicarslan, Jose L Contreras-Vidal
With the development of Brain Machine Interface (BMI) systems, people with motor disabilities are able to control external devices to help them restore movement abilities. Longitudinal validation of these systems is critical not only to assess long-term performance reliability but also to investigate adaptations in electrocortical patterns due to learning to use the BMI system. In this paper, we decode the patterns of user's intended gait states (e.g., stop, walk, turn left, and turn right) from scalp electroencephalography (EEG) signals and simultaneously learn the relative importance of different brain areas by using the multiple kernel learning (MKL) algorithm...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28420766/project-accrue-exploring-options-to-increase-awareness-of-aids-malignancy-consortium-clinical-trials-in-north-carolina
#13
Anissa I Vines, Cathy L Melvin, Jaimie C Hunter, Veronica A Carlisle
BACKGROUND Longer lifespans conferred by antiretroviral therapy result in more time exposed to cancer risk for people living with HIV/AIDS (PLWHA). Given limited diversity in AIDS Malignancy Consortium (AMC) clinical trials, there is need for new approaches to educate PLWHA in order to improve awareness and participation in AMC trials.METHODS With input from a community advisory board, Project ACCRUE (AMC Clinical Trials at Carolina Ramp Up Enrollment) conducted a key informant interview with service providers; online organizational surveys of AMC trial awareness and resource needs; and "lunch and learn" educational sessions, including pre- and post-intervention knowledge assessments...
March 2017: North Carolina Medical Journal
https://www.readbyqxmd.com/read/28420719/emotional-modulation-of-learning-and-memory-pharmacological-implications
#14
REVIEW
Ryan T LaLumiere, James L McGaugh, Christa K McIntyre
Memory consolidation involves the process by which newly acquired information becomes stored in a long-lasting fashion. Evidence acquired over the past several decades, especially from studies using post-training drug administration, indicates that emotional arousal during the consolidation period influences and enhances the strength of the memory and that multiple different chemical signaling systems participate in this process. The mechanisms underlying the emotional influences on memory involve the release of stress hormones and activation of the basolateral amygdala, which work together to modulate memory consolidation...
July 2017: Pharmacological Reviews
https://www.readbyqxmd.com/read/28419657/a-new-approach-to-clinical-research-integrating-clinical-care-quality-reporting-and-research-using-a-wound-care-network-based-learning-healthcare-system
#15
Thomas E Serena, Caroline E Fife, Kristen A Eckert, Raphael A Yaakov, Marissa J Carter
The disparity between ideal evidence from randomized controlled trials and real-world evidence in medical research has prompted the United States Food and Drug Administration to consider the use of real-world data to better understand safety and effectiveness of new devices for a broader patient population and to prioritize real-world data in regulatory decision making. As the healthcare system transitions from volume- to value-based care, there is a growing need to harness the power of real-world data to change the paradigm for wound care clinical research and enable more generalizable clinical trials...
April 17, 2017: Wound Repair and Regeneration
https://www.readbyqxmd.com/read/28412786/-oral-and-maxillofacial-surgery-residency-training-in-the-united-states-what-can-we-learn
#16
Y F Ren
China is currently in the process of establishing formal residency training programs in oral and maxillofacial surgery and other medical and dental specialties. Regulatory agencies, and educational and academic institutions in China are exploring mechanisms, goals and standards of residency training that meet the needs of the Chinese healthcare system. This article provides an introduction of residency training in oral and maxillofacial surgery in the United States, with emphasis on the accreditation standard by the Commission on Dental Accreditation...
April 9, 2017: Zhonghua Kou Qiang Yi Xue za Zhi, Zhonghua Kouqiang Yixue Zazhi, Chinese Journal of Stomatology
https://www.readbyqxmd.com/read/28411726/a-wellness-platform-for-stereoscopic-3d-video-systems-using-eeg-based-visual-discomfort-evaluation-technology
#17
Min-Koo Kang, Hohyun Cho, Han-Mu Park, Sung Chan Jun, Kuk-Jin Yoon
Recent advances in three-dimensional (3D) video technology have extended the range of our experience while providing various 3D applications to our everyday life. Nevertheless, the so-called visual discomfort (VD) problem inevitably degrades the quality of experience in stereoscopic 3D (S3D) displays. Meanwhile, electroencephalography (EEG) has been regarded as one of the most promising brain imaging modalities in the field of cognitive neuroscience. In an effort to facilitate comfort with S3D displays, we propose a new wellness platform using EEG...
July 2017: Applied Ergonomics
https://www.readbyqxmd.com/read/28408893/bridging-the-gap-across-the-transition-to-coparenthood-triadic-interactions-and-coparenting-representations-from-pregnancy-through-12-months-postpartum
#18
Regina Kuersten-Hogan
Most family researchers agree that the coparenting relationship emerges some time during the transition to parenthood, though it is unclear whether it originates in pregnancy. Previous studies demonstrated that couples' positive representations of their future coparenting relationship and harmonious coparenting behaviors observed during prenatal triadic interactions predicted better postpartum functioning. However, previous studies did not simultaneously assess prenatal coparenting behaviors and representations as predictors of postpartum coparenting...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28408878/reward-based-motor-adaptation-mediated-by-basal-ganglia
#19
Taegyo Kim, Khaldoun C Hamade, Dmitry Todorov, William H Barnett, Robert A Capps, Elizaveta M Latash, Sergey N Markin, Ilya A Rybak, Yaroslav I Molkov
It is widely accepted that the basal ganglia (BG) play a key role in action selection and reinforcement learning. However, despite considerable number of studies, the BG architecture and function are not completely understood. Action selection and reinforcement learning are facilitated by the activity of dopaminergic neurons, which encode reward prediction errors when reward outcomes are higher or lower than expected. The BG are thought to select proper motor responses by gating appropriate actions, and suppressing inappropriate ones...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28408735/predicting-neurological-adverse-drug-reactions-based-on-biological-chemical-and-phenotypic-properties-of-drugs-using-machine-learning-models
#20
Salma Jamal, Sukriti Goyal, Asheesh Shanker, Abhinav Grover
Adverse drug reactions (ADRs) have become one of the primary reasons for the failure of drugs and a leading cause of deaths. Owing to the severe effects of ADRs, there is an urgent need for the generation of effective models which can accurately predict ADRs during early stages of drug development based on integration of various features of drugs. In the current study, we have focused on neurological ADRs and have used various properties of drugs that include biological properties (targets, transporters and enzymes), chemical properties (substructure fingerprints), phenotypic properties (side effects (SE) and therapeutic indications) and a combinations of the two and three levels of features...
April 13, 2017: Scientific Reports
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