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https://www.readbyqxmd.com/read/28092591/relational-regularized-discriminative-sparse-learning-for-alzheimer-s-disease-diagnosis
#1
Baiying Lei, Peng Yang, Tianfu Wang, Siping Chen, Dong Ni
Accurate identification and understanding informative feature is important for early Alzheimer's disease (AD) prognosis and diagnosis. In this paper, we propose a novel discriminative sparse learning method with relational regularization to jointly predict the clinical score and classify AD disease stages using multimodal features. Specifically, we apply a discriminative learning technique to expand the class-specific difference and include geometric information for effective feature selection. In addition, two kind of relational information are incorporated to explore the intrinsic relationships among features and training subjects in terms of similarity learning...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092545/heterogeneous-face-recognition-a-common-encoding-feature-discriminant-approach
#2
Dihong Gong, Zhifeng Li, Weilin Huang, Xuelong Li, Dacheng Tao
Heterogeneous face recognition is an important yet challenging problem in face recognition community. It refers to matching a probe face image to a gallery of face images taken from alternate imaging modality. The major challenge of heterogeneous face recognition lies in the great discrepancies between different image modalities. Conventional face feature descriptors, e.g. LBP, HOG and SIFT, are mostly designed in a handcrafted way and thus generally fail to extract the common discriminant information from the heterogeneous face images...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092535/super-resolution-person-re-identification-with-semi-coupled-low-rank-discriminant-dictionary-learning
#3
Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Ruimin Hu, Xinge You, Yunhong Wang, Hui Feng, Jing-Yu Yang
Person re-identification has been widely studied due to its importance in surveillance and forensics applications. In practice, gallery images are high-resolution (HR) while probe images are usually low-resolution (LR) in the identification scenarios with large variation of illumination, weather or quality of cameras. Person re-identification in this kind of scenarios, which we call super-resolution (SR) person re-identification, has not been well studied. In this paper, we propose a semi-coupled low-rank discriminant dictionary learning (SLD2L) approach for SR person re-identification task...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28090732/high-engagement-high-quality-a-guiding-framework-for-developing-empirically-informed-asynchronous-e-learning-programs-for-health-professional-educators
#4
Peter M Sinclair, Tracey Levett-Jones, Amanda Morris, Ben Carter, Paul N Bennett, Ashley Kable
E-learning involves the transfer of skills and knowledge via technology so that learners can access meaningful and authentic educational materials. While learner engagement is important, in the context of healthcare education, pedagogy must not be sacrificed for edu-tainment style instructional design. Consequently, health professional educators need to be competent in the use of current web-based educational technologies so that learners are able to access relevant and engaging e-learning materials without restriction...
January 16, 2017: Nursing & Health Sciences
https://www.readbyqxmd.com/read/28090643/the-use-of-instructional-design-guidelines-to-increase-effectiveness-of-postpartum-hemorrhage-simulation-training
#5
Brena C P de Melo, Ana R Falbo, Arno M M Muijtjens, Cees P M van der Vleuten, Jeroen J G van Merriënboer
OBJECTIVE: To compare learning outcomes of postpartum hemorrhage simulation training based on either instructional design guidelines or best practice. METHODS: A pretest-post-test non-equivalent groups study was conducted among obstetrics and gynecology residents in Recife, Brazil, from June 8 to August 30, 2013. The instructional design group included 13 teams, whereas the best practice group included seven teams. A standardized task checklist was used for scenario analysis and the proportion of correctly executed tasks compared (post-test minus pretest)...
December 16, 2016: International Journal of Gynaecology and Obstetrics
https://www.readbyqxmd.com/read/28090605/domain-adaptation-methods-for-improving-lab-to-field-generalization-of-cocaine-detection-using-wearable-ecg
#6
Annamalai Natarajan, Gustavo Angarita, Edward Gaiser, Robert Malison, Deepak Ganesan, Benjamin M Marlin
Mobile health research on illicit drug use detection typically involves a two-stage study design where data to learn detectors is first collected in lab-based trials, followed by a deployment to subjects in a free-living environment to assess detector performance. While recent work has demonstrated the feasibility of wearable sensors for illicit drug use detection in the lab setting, several key problems can limit lab-to-field generalization performance. For example, lab-based data collection often has low ecological validity, the ground-truth event labels collected in the lab may not be available at the same level of temporal granularity in the field, and there can be significant variability between subjects...
September 2016: Proceedings of the ACM International Conference on Ubiquitous Computing
https://www.readbyqxmd.com/read/28090339/a-mixed-methods-approach-to-improving-recruitment-and-engagement-of-emerging-adults-in-behavioural-weight-loss-programs
#7
J G LaRose, K M Guthrie, A Lanoye, D F Tate, E Robichaud, L J Caccavale, R R Wing
OBJECTIVE: Emerging adults ages 18-25 are at high risk for obesity, but are markedly underrepresented in behavioural weight loss (BWL) programs and experience lower engagement and retention relative to older adults. PURPOSE: To utilize a mixed methods approach to inform future efforts to effectively recruit and engage this high-risk population in BWL programs. METHODS: We used a convergent parallel design in which quantitative and qualitative data were given equal priority...
December 2016: Obesity Science & Practice
https://www.readbyqxmd.com/read/28090108/a-process-for-curricular-improvement-based-on-evaluation-of-student-performance-on-milestone-examinations
#8
Marcy Hernick, Ann C Hylton, Michael Justice
Objective. To identify and address areas for curricular improvement by evaluating student achievement of expected learning outcomes and competencies on annual milestone examinations. Design. Students were tested each professional year with a comprehensive milestone examination designed to evaluate student achievement of learning outcomes and professional competencies using a combination of multiple-choice questions, standardized patient assessments (SPAs), and objective structured clinical examination (OSCE) questions...
November 25, 2016: American Journal of Pharmaceutical Education
https://www.readbyqxmd.com/read/28090103/a-critical-care-hybrid-online-elective-course-for-third-year-pharmacy-students
#9
Matthew A Wanat, Anne M Tucker, Elizabeth A Coyle
Objective. To assess the impact of a four-week hybrid online elective course in critical care on student learning attitudes and outcomes compared to that achieved when the same course was taught using a traditional lecture-based approach. Design. A hybrid online elective course was created that featured video-recorded lectures and in-class skills laboratories. Course evaluations were used to assess student perceptions of learning methods, and examination scores were used to assess learning outcomes. Assessment...
November 25, 2016: American Journal of Pharmaceutical Education
https://www.readbyqxmd.com/read/28090102/virtual-patient-case-sharing-across-two-schools-of-pharmacy
#10
Michael A Smith, Laura A Siemianowski, Neal Benedict
Objective. To expand the use of virtual patients at 2 schools of pharmacy through virtual patient case sharing. Design. Faculty members at two schools of pharmacy collaborated to expand the use of virtual patients. Two simulation programs, vpSim and DecisionSim (Decision Simulation, LLC, Chadsford, PA), were used to create interactive patient cases for a required course and an elective course at the different schools. Each school developed cases for their own use and then shared the cases with the other school...
November 25, 2016: American Journal of Pharmaceutical Education
https://www.readbyqxmd.com/read/28089581/accountability-studies-of-air-pollution-and-health-effects-lessons-learned-and-recommendations-for-future-natural-experiment-opportunities
#11
REVIEW
David Q Rich
To address limitations of observational epidemiology studies of air pollution and health effects, including residual confounding by temporal and spatial factors, several studies have taken advantage of 'natural experiments', where an environmental policy or air quality intervention has resulted in reductions in ambient air pollution concentrations. Researchers have examined whether the population impacted by these air quality improvements, also experienced improvements in various health indices (e.g. reduced morbidity/mortality)...
January 12, 2017: Environment International
https://www.readbyqxmd.com/read/28088430/flipping-the-classroom-case-based-learning-accountability-assessment-and-feedback-leads-to-a-favorable-change-in-culture
#12
Nahush A Mokadam, Todd F Dardas, Joshua L Hermsen, Jay D Pal, Michael S Mulligan, L Myria Jacobs, Douglas E Wood, Edward D Verrier
OBJECTIVE: The 88-week Thoracic Surgery Curriculum is challenging to implement because of the large content in a traditional lecture format. This study investigates flipping the classroom by using a case-based format designed to stimulate resident preparation and engagement. METHODS: The didactic conference format was altered. Curricular reading assignments, case review, and conference participation prepared residents for novel formative assessment quizzes. Ten residents participated, and faculty served as controls...
December 19, 2016: Journal of Thoracic and Cardiovascular Surgery
https://www.readbyqxmd.com/read/28087591/clinical-trials-in-antineutrophil-cytoplasmic-antibody-associated-vasculitis-what-we-have-learnt-so-far-and-what-we-still-have-to-learn
#13
Divi Cornec, Emilie Cornec-Le Gall, Ulrich Specks
The prognosis of the antineutrophil cytoplasmic antibody associated vasculitides (AAV), microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA) and eosinophilic GPA (EGPA), has been fundamentally improved over the last five decades by the use of glucocorticoids and immunosuppressants, turning them from consistently fatal diseases into chronic conditions. The long-term course is now largely determined by the frequency of disease flares and by accruing damage caused by disease activity and treatment-related comorbidities...
January 12, 2017: Nephrology, Dialysis, Transplantation
https://www.readbyqxmd.com/read/28081550/ninth-grade-school-performance-in-danish-childhood-cancer-survivors
#14
Klaus Kaae Andersen, Anne Katrine Duun-Henriksen, Marie Hoffmann Frederiksen, Jeanette Falck Winther
BACKGROUND: Childhood cancer survivors can experience learning problems resulting in lower-than-expected attained education as adults. It is unclear whether learning problems manifest already during adolescence. METHODS: We analysed nationwide Danish registries on school grades for Danish children during 2001-2014. Applying a matched design we compared grades of childhood cancer survivors to children without cancer at ninth grade. We estimated grade differences by subject and its correlation to cancer site and age at diagnosis...
January 12, 2017: British Journal of Cancer
https://www.readbyqxmd.com/read/28081006/latent-feature-representation-with-depth-directional-long-term-recurrent-learning-for-breast-masses-in-digital-breast-tomosynthesis
#15
Dae Hoe Kim, Seong Tae Kim, Jung Min Chang, Yong Man Ro
Characterization of masses in computer-aided detection systems for digital breast tomosynthesis (DBT) is an important step to reduce false positive (FP) rates. To effectively differentiate masses from FPs in DBT, discriminative mass feature representation is required. In this paper, we propose a new latent feature representation boosted by depth directional long-term recurrent learning for characterizing malignant masses. The proposed network is designed to encode mass characteristics in two parts. First, 2D spatial image characteristics of DBT slices are encoded as a slice feature representation by convolutional neural network (CNN)...
February 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28078799/specifying-a-state-guaranteed-health-benefits-package-for-kazakhstan-lessons-for-emerging-economies-and-middle-income-countries
#16
Michael Jones, Tata Chanturidze, Sam Franzen, Alex Manu, Mike Naylor
The Government of Kazakhstan is engaged in a "root and branch" modernisation of the health care sector. One aspect of the raft of modernisation programmes was to revisit the State Guaranteed Health Benefits Package, with the aim to review citizen entitlements to healthcare. This paper reviews the ongoing evolution of the planning of the health benefits package in Kazakhstan, with the main challenges encountered, and critical lessons learned, to be considered for similar attempts elsewhere. The main conclusions are that: the design process requires a blend of technical and socio-political analysis, because it attracts public interest, and therefore political risks; the scale and burden of analysis need to be kept to manageable proportions; and the relationship between the benefits package and funding modalities needs to be carefully managed by the State, to ensure access to declared entitlements to all members, including the most vulnerable, while keeping the package financially feasible...
January 12, 2017: International Journal of Health Planning and Management
https://www.readbyqxmd.com/read/28078612/ameliorative-effect-of-ginsenoside-rg1-on-lipopolysaccharide-induced-cognitive-impairment-role-of-cholinergic-system
#17
Yang Jin, Jian Peng, Xiaona Wang, Dong Zhang, Tianyin Wang
Bacterial endotoxin lipopolysaccharide (LPS) can induce systemic inflammation, and therefore disrupt learning and memory processes. Ginsenoside Rg1, a major bioactive component of ginseng, is shown to greatly improve cognitive function. The present study was designed to further investigate whether administration of ginsenoside Rg1 can ameliorate LPS-induced cognitive impairment in the Y-maze and Morris water maze (MWM) task, and to explore the underlying mechanisms. Results showed that exposure to LPS (500 μg/kg) significantly impaired working and spatial memory and that repeated treatment with ginsenoside Rg1 (200 mg/kg/day, for 30 days) could effectively alleviate the LPS-induced cognitive decline as indicated by increased working and spatial memory in the Y-maze and MWM tests...
January 11, 2017: Neurochemical Research
https://www.readbyqxmd.com/read/28077348/user-centered-design-of-serious-games-for-older-adults-following-3-years-of-experience-with-exergames-for-seniors-a-study-design
#18
Ellen Brox, Stathis Th Konstantinidis, Gunn Evertsen
BACKGROUND: Seniors need sufficient balance and strength to manage in daily life, and sufficient physical activity is required to achieve and maintain these abilities. This can be a challenge, but fun and motivational exergames can be of help. However, most commercial games are not suited for this age group for several reasons. Many usability studies and user-centered design (UCD) protocols have been developed and applied, but to the best of our knowledge none of them are focusing on seniors' use of games for physical activity...
January 11, 2017: JMIR Serious Games
https://www.readbyqxmd.com/read/28077346/the-use-of-motion-based-technology-for-people-living-with-dementia-or-mild-cognitive-impairment-a-literature-review
#19
REVIEW
Erica Dove, Arlene J Astell
BACKGROUND: The number of people living with dementia and mild cognitive impairment (MCI) is increasing substantially. Although there are many research efforts directed toward the prevention and treatment of dementia and MCI, it is also important to learn more about supporting people to live well with dementia or MCI through cognitive, physical, and leisure means. While past research suggests that technology can be used to support positive aging for people with dementia or MCI, the use of motion-based technology has not been thoroughly explored with this population...
January 11, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28076866/biophysically-motivated-regulatory-network-inference-progress-and-prospects
#20
Tarmo Äijö, Richard Bonneau
Thanks to the confluence of genomic technology and computational developments, the possibility of network inference methods that automatically learn large comprehensive models of cellular regulation is closer than ever. This perspective focuses on enumerating the elements of computational strategies that, when coupled to appropriate experimental designs, can lead to accurate large-scale models of chromatin state and transcriptional regulatory structure and dynamics. We highlight 4 research questions that require further investigation in order to make progress in network inference: (1) using overall constraints on network structure such as sparsity, (2) use of informative priors and data integration to constrain individual model parameters, (3) estimation of latent regulatory factor activity under varying cell conditions, and (4) new methods for learning and modeling regulatory factor interactions...
2016: Human Heredity
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