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https://www.readbyqxmd.com/read/28437868/early-mortality-and-overall-survival-of-acute-myeloid-leukemia-based-on-facility-type
#1
Vijaya R Bhatt, Valerie Shostrom, Smith Giri, Krishna Gundabolu, K M Monirul Islam, Frederick R Appelbaum, Lori J Maness
Cancer health disparities may exist based on the facility type. We aimed to determine the association between the academic status of centers and outcomes of patients with acute myeloid leukemia (AML). Using the National Cancer Data Base, we compared one-month mortality and longer-term overall survival (OS) of 60,738 patients with AML, who received first course treatment between 2003-2011 at academic or non-academic centers (community cancer program, comprehensive community cancer program, and others). Multivariate analysis was done using logistic regression for one-month mortality and Cox regression with backward elimination approach for OS...
April 24, 2017: American Journal of Hematology
https://www.readbyqxmd.com/read/28437797/central-and-peripheral-vision-for-scene-recognition-a-neurocomputational-modeling-exploration
#2
Panqu Wang, Garrison W Cottrell
What are the roles of central and peripheral vision in human scene recognition? Larson and Loschky (2009) showed that peripheral vision contributes more than central vision in obtaining maximum scene recognition accuracy. However, central vision is more efficient for scene recognition than peripheral, based on the amount of visual area needed for accurate recognition. In this study, we model and explain the results of Larson and Loschky (2009) using a neurocomputational modeling approach. We show that the advantage of peripheral vision in scene recognition, as well as the efficiency advantage for central vision, can be replicated using state-of-the-art deep neural network models...
April 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28437786/the-effect-of-retraining-on-treatment-success-life-quality-and-metabolic-parameters-in-patients-with-type-1-diabetes-using-insulin-pump
#3
Basak Ozgen Saydam, Fatma Yilmazmis, Nalan Aydin, Belgin Bektas, Simge Yilmaz, Umit Cavdar, Secil Ozisik, Baris Akinci
OBJECTIVE: To investigate the effect of insulin pump user retraining on treatment success, quality of life, and metabolic parameters of patients with type 1 diabetes using continuous subcutaneous insulin infusion (CSII). SUBJECTS AND METHODS: A total of 35 subjects participated in this prospective study. All patients were given insulin pump user retraining. Their knowledge level and application skills, metabolic parameters, life qualities and satisfaction from treatment were evaluated at baseline and after 6 months...
April 23, 2017: Medical Principles and Practice: International Journal of the Kuwait University, Health Science Centre
https://www.readbyqxmd.com/read/28437761/negative-appraisals-and-fear-extinction-are-independently-related-to-ptsd-symptoms
#4
Daniel V Zuj, Matthew A Palmer, Kate E Gray, Chia-Ming K Hsu, Emma L Nicholson, Gin S Malhi, Richard A Bryant, Kim L Felmingham
BACKGROUND: Considerable research has revealed impaired fear extinction to be a significant predictor of PTSD. Fear extinction is also considered the primary mechanism of exposure therapy, and a critical factor in PTSD recovery. The cognitive theory of PTSD proposes that symptoms persist due to excessive negative appraisals about the trauma and its sequelae. Research has not yet examined the relationship between fear extinction and negative appraisals in PTSD. METHODS: A cross-sectional sample of participants with PTSD (n =21), and trauma-exposed controls (n =33) underwent a standardized differential fear conditioning and extinction paradigm, with skin conductance response (SCR) amplitude serving as the index of conditioned responses...
April 17, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28437693/an-assessment-of-the-social-cognitive-predictors-of-exclusive-breastfeeding-behavior-using-the-health-action-process-approach
#5
J L Martinez-Brockman, F M Shebl, N Harari, R Pérez-Escamilla
RATIONALE: In the United States rates of exclusive breastfeeding duration remain exceedingly low. Exclusive breastfeeding is a complex learned behavior that is influenced by social cognitive, interpersonal, and structural factors. Interventions are needed that address factors at multiple levels of the social-ecological model. This study was designed to examine the social cognitive predictors of exclusive breastfeeding behavior in a sample of low-income women attending the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) breastfeeding peer counseling program and enrolled in the Lactation Advice Through Texting Can Help (LATCH) study...
April 12, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28437691/midwifery-participatory-curriculum-development-transformation-through-active-partnership
#6
Mary Sidebotham, Caroline Walters, Janine Chipperfield, Jenny Gamble
Evolving knowledge and professional practice combined with advances in pedagogy and learning technology create challenges for accredited professional programs. Internationally a sparsity of literature exists around curriculum development for professional programs responsive to regulatory and societal drivers. This paper evaluates a participatory curriculum development framework, adapted from the community development sector, to determine its applicability to promote engagement and ownership during the development of a Bachelor of Midwifery curriculum at an Australian University...
April 15, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28437690/a-guide-to-nursing-students-written-reflections-for-students-and-educators
#7
Jessica Naber, Liz Markley
Experiences from the clinical setting are ideal for building critical thinking skills if reflection is used as a teaching tool. Reflective writing is the purposeful and recurring inspection of thoughts, feelings, and occurrences that coordinate with experiences during practice. Reflecting on clinical experiences develops critical thinking ability, fosters self-understanding, facilitates coping, and leads to improvement in clinical practice (Kennison, 2006). Reflective writing allows students to combine clinical experiences and takeaways with didactic material to better understand both practice and instruction...
April 7, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28437663/microbial-communities-associated-with-plants-learning-from-nature-to-apply-it-in-agriculture
#8
REVIEW
Fernando Dini Andreote, Michele de Cássia Pereira E Silva
It is a new consensus that any living organism depends on its partners to strive under environmental conditions along their living period. Plants are also highly dependent on their associated microbes, which can support its development and proper protection under stressors. Along their evolution, plants learned to interact to soil microbiota, extracting their utmost capacity to provide resources for plant development and successful colonization of terrestrial systems, where the great soil biodiversity is keen on properly exert this role...
April 21, 2017: Current Opinion in Microbiology
https://www.readbyqxmd.com/read/28437659/the-relationship-between-maternal-education-and-the-neural-substrates-of-phoneme-perception-in-children-interactions-between-socioeconomic-status-and-proficiency-level
#9
Lisa L Conant, Einat Liebenthal, Anjali Desai, Jeffrey R Binder
Relationships between maternal education (ME) and both behavioral performances and brain activation during the discrimination of phonemic and nonphonemic sounds were examined using fMRI in children with different levels of phoneme categorization proficiency (CP). Significant relationships were found between ME and intellectual functioning and vocabulary, with a trend for phonological awareness. A significant interaction between CP and ME was seen for nonverbal reasoning abilities. In addition, fMRI analyses revealed a significant interaction between CP and ME for phonemic discrimination in left prefrontal cortex...
April 21, 2017: Brain and Language
https://www.readbyqxmd.com/read/28437620/american-association-of-clinical-endocrinologists-and-american-college-of-endocrinology-guidelines-for-management-of-dyslipidemia-and-prevention-of-cardiovascular-disease
#10
Paul S Jellinger, Yehuda Handelsman, Paul D Rosenblit, Zachary T Bloomgarden, Vivian A Fonseca, Alan J Garber, George Grunberger, Chris K Guerin, David S H Bell, Jeffrey I Mechanick, Rachel Pessah-Pollack, Kathleen Wyne, Donald Smith, Eliot A Brinton, Sergio Fazio, Michael Davidson
OBJECTIVE: The development of these guidelines is mandated by the American Association of Clinical Endocrinologists (AACE) Board of Directors and American College of Endocrinology (ACE) Board of Trustees and adheres with published AACE protocols for the standardized production of clinical practice guidelines (CPGs). METHODS: Recommendations are based on diligent reviews of the clinical evidence with transparent incorporation of subjective factors, according to established AACE/ACE guidelines for guidelines protocols...
April 2017: Endocrine Practice
https://www.readbyqxmd.com/read/28437616/neural-network-and-nearest-neighbour-algorithms-for-enhancing-sampling-of-molecular-dynamics
#11
Raimondas Galvelis, Yuji Sugita
The free energy calculations of complex chemical and biological systems with molecular dynamics (MD) are inefficient due to multiple local minima separated by high-energy barriers. The minima can be escaped using an enhanced sampling method such as metadynamics, which apply bias (i.e. importance sampling) along a set of collective variables (CV), but the maximum number of CVs (or dimensions) is severely limited. We propose a high-dimensional bias potential method (NN2B) based on two machine learning algorithms: the nearest neighbour density estimator (NNDE) and the artificial neural network (ANN) for the bias potential approximation...
April 24, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28437615/experimental-demonstration-of-feature-extraction-and-dimensionality-reduction-using-memristor-networks
#12
Shinhyun Choi, Jong Hoon Shin, Jihang Lee, Patrick Sheridan, Wei D Lu
Memristors have been considered as a leading candidate for a number of critical applications ranging from non-volatile memory to non-Von Neumann computing systems. Feature extraction, which aims to transform input data from a high dimensional space to a space with fewer dimensions, is an important technique widely used in machine learning and pattern recognition applications. Here, we experimentally demonstrate that memristor arrays can be used to perform principal component analysis (PCA), one of the most commonly-used feature extraction techniques, through online, unsupervised learning...
April 24, 2017: Nano Letters
https://www.readbyqxmd.com/read/28437602/holography-machine-learning-and-cancer-cells
#13
Christopher B Raub, George Nehmetallah
No abstract text is available yet for this article.
April 24, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28437546/root-cause-analysis-and-actions-for-the-prevention-of-medical-errors-quality-improvement-and-resident-education
#14
Ryan Charles, Brandon Hood, Joseph M DeRosier, John W Gosbee, James P Bagian, Ying Li, Michelle S Caird, J Sybil Biermann, Mark E Hake
The quality of care delivered by orthopedic surgeons continues to grow in importance. Multiple orthopedic programs, organizations, and committees have been created to measure the quality of surgical care and reduce the incidence of medical adverse events. Structured root cause analysis and actions (RCA2) has become an area of interest. If performed thoroughly, RCA2 has been shown to reduce surgical errors across many subspecialties. The Accreditation Council for Graduate Medical Education has a new mandate for programs to involve residents in quality improvement processes...
April 24, 2017: Orthopedics
https://www.readbyqxmd.com/read/28437528/automated-staging-of-age-related-macular-degeneration-using-optical-coherence-tomography
#15
Freerk G Venhuizen, Bram van Ginneken, Freekje van Asten, Mark J J P van Grinsven, Sascha Fauser, Carel B Hoyng, Thomas Theelen, Clara I Sánchez
Purpose: To evaluate a machine learning algorithm that automatically grades age-related macular degeneration (AMD) severity stages from optical coherence tomography (OCT) scans. Methods: A total of 3265 OCT scans from 1016 patients with either no signs of AMD or with signs of early, intermediate, or advanced AMD were randomly selected from a large European multicenter database. A machine learning system was developed to automatically grade unseen OCT scans into different AMD severity stages without requiring retinal layer segmentation...
April 1, 2017: Investigative Ophthalmology & Visual Science
https://www.readbyqxmd.com/read/28437486/prediction-of-crime-occurrence-from-multi-modal-data-using-deep-learning
#16
Hyeon-Woo Kang, Hang-Bong Kang
In recent years, various studies have been conducted on the prediction of crime occurrences. This predictive capability is intended to assist in crime prevention by facilitating effective implementation of police patrols. Previous studies have used data from multiple domains such as demographics, economics, and education. Their prediction models treat data from different domains equally. These methods have problems in crime occurrence prediction, such as difficulty in discovering highly nonlinear relationships, redundancies, and dependencies between multiple datasets...
2017: PloS One
https://www.readbyqxmd.com/read/28437475/the-school-malaise-trap-program-coupling-educational-outreach-with-scientific-discovery
#17
Dirk Steinke, Vanessa Breton, Emily Berzitis, Paul D N Hebert
The School Malaise Trap Program (SMTP) provides a technologically sophisticated and scientifically relevant educational experience that exposes students to the diversity of life, enhancing their understanding of biodiversity while promoting environmental stewardship. Since 2013, the SMTP has allowed 15,000 students at 350 primary and secondary schools to explore insect diversity in Canadian schoolyards. Students at each school collected hundreds of insects for an analysis of DNA sequence variation that enabled their rapid identification to a species...
April 2017: PLoS Biology
https://www.readbyqxmd.com/read/28437472/socioeconomic-status-and-type-2-diabetes-complications-among-young-adult-patients-in-japan
#18
Mitsuhiko Funakoshi, Yasushi Azami, Hisashi Matsumoto, Akemi Ikota, Koichi Ito, Hisashi Okimoto, Nobuaki Shimizu, Fumihiro Tsujimura, Hiroshi Fukuda, Chozi Miyagi, Sayaka Osawa, Ryo Osawa, Jiro Miura
OBJECTIVE: To assess the relationship between socioeconomic status (SES) and complications of type 2 diabetes among young adults in Japan. DESIGN: A cross-sectional study. SETTING: Outpatient wards of 96 member hospitals and clinics of the Japan Federation of Democratic Medical Institutions. PARTICIPANTS: A total of 782 outpatients with type 2 diabetes (525 males, 257 females), aged 20-40 years as of March 31, 2012. After excluding 110 participants whose retinopathy diagnosis was in question, 672 participants were analyzed...
2017: PloS One
https://www.readbyqxmd.com/read/28437466/stage-call-cardiovascular-reactivity-to-audition-stress-in-musicians
#19
Theerasak Chanwimalueang, Lisa Aufegger, Tricia Adjei, David Wasley, Cinzia Cruder, Danilo P Mandic, Aaron Williamon
Auditioning is at the very center of educational and professional life in music and is associated with significant psychophysical demands. Knowledge of how these demands affect cardiovascular responses to psychosocial pressure is essential for developing strategies to both manage stress and understand optimal performance states. To this end, we recorded the electrocardiograms (ECGs) of 16 musicians (11 violinists and 5 flutists) before and during performances in both low- and high-stress conditions: with no audience and in front of an audition panel, respectively...
2017: PloS One
https://www.readbyqxmd.com/read/28437451/predicting-explorative-motor-learning-using-decision-making-and-motor-noise
#20
Xiuli Chen, Kieran Mohr, Joseph M Galea
A fundamental problem faced by humans is learning to select motor actions based on noisy sensory information and incomplete knowledge of the world. Recently, a number of authors have asked whether this type of motor learning problem might be very similar to a range of higher-level decision-making problems. If so, participant behaviour on a high-level decision-making task could be predictive of their performance during a motor learning task. To investigate this question, we studied performance during an explorative motor learning task and a decision-making task which had a similar underlying structure with the exception that it was not subject to motor (execution) noise...
April 24, 2017: PLoS Computational Biology
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