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https://www.readbyqxmd.com/read/28239834/order-constrained-linear-optimization
#1
Joe W Tidwell, Michael R Dougherty, Jeffrey S Chrabaszcz, Rick P Thomas
Despite the fact that data and theories in the social, behavioural, and health sciences are often represented on an ordinal scale, there has been relatively little emphasis on modelling ordinal properties. The most common analytic framework used in psychological science is the general linear model, whose variants include ANOVA, MANOVA, and ordinary linear regression. While these methods are designed to provide the best fit to the metric properties of the data, they are not designed to maximally model ordinal properties...
February 27, 2017: British Journal of Mathematical and Statistical Psychology
https://www.readbyqxmd.com/read/28238424/a-transversely-isotropic-coupled-hyperelastic-model-for-the-mechanical-behavior-of-tendons
#2
Thiago André Carniel, Eduardo Alberto Fancello
Several constitutive models for fibrous soft tissues used in literature provide a completely isotropic response when fibers are compressed. However, recent experimental investigations confirm the expectation that tendons behave anisotropically during compression tests. Motivated by these facts, the present manuscript presents an appropriate choice of hyperelastic potentials able to predict the coupled mechanical behaviors of tendons under both tensile and compressive loads with a relatively small number of material parameters...
February 9, 2017: Journal of Biomechanics
https://www.readbyqxmd.com/read/28236783/identifying-sub-categories-of-social-fears-using-an-alternative-factor-analytic-structure-of-the-social-phobia-and-anxiety-inventory
#3
Georgia Panayiotou, Michalis P Michaelides, Marios Theodorou, Klavdia Neophytou
AIMS: This study evaluates an alternative factor structure of the Social Phobia and Anxiety Inventory (Turner et al., 1989), a widely used measure of social anxiety. Existing models ignore variance due to the different social contexts where social fears are expressed. METHOD: Taking a different approach to scoring than previous studies, this investigation proposes a new model, which, in addition to 4-5 symptom dimensions, is able to capture the situations (strangers, authority figures, members of the opposite sex and people in general) that are of concern to the examinee...
February 20, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28236655/targeted-dose-enhancement-in-radiotherapy-for-breast-cancer-using-gold-nanoparticles-part-1-a-radiobiological-model-study
#4
Veronica Ferrero, Giovanni Visonà, Federico Dalmasso, Andrea Gobbato, Piergiorgio Cerello, Andrea Attili, Lidia Strigari, Sonja Visentin
PURPOSE: Gold nanoparticles (GNPs) are being proposed in combination with radiotherapy to improve tumor control. However, the exact mechanisms underlying GNP radiosensitization are yet to be understood, thus, we present a new approach to estimate the nanoparticle-driven increase in radiosensitivity. METHODS: A stochastic radiobiological model derived from the Local Effect Model (LEM) was coupled with Monte Carlo simulations performed using to estimate the increase in radiosensitivity due to the local dose deposited by secondary electrons produced from the interaction between the photons and GNPs at a nanometric level...
February 25, 2017: Medical Physics
https://www.readbyqxmd.com/read/28231324/a-framework-for-analyzing-contagion-in-assortative-banking-networks
#5
Thomas R Hurd, James P Gleeson, Sergey Melnik
We introduce a probabilistic framework that represents stylized banking networks with the aim of predicting the size of contagion events. Most previous work on random financial networks assumes independent connections between banks, whereas our framework explicitly allows for (dis)assortative edge probabilities (i.e., a tendency for small banks to link to large banks). We analyze default cascades triggered by shocking the network and find that the cascade can be understood as an explicit iterated mapping on a set of edge probabilities that converges to a fixed point...
2017: PloS One
https://www.readbyqxmd.com/read/28230166/a-universal-indicator-of-critical-state-transitions-in-noisy-complex-networked-systems
#6
Junhao Liang, Yanqing Hu, Guanrong Chen, Tianshou Zhou
Critical transition, a phenomenon that a system shifts suddenly from one state to another, occurs in many real-world complex networks. We propose an analytical framework for exactly predicting the critical transition in a complex networked system subjected to noise effects. Our prediction is based on the characteristic return time of a simple one-dimensional system derived from the original higher-dimensional system. This characteristic time, which can be easily calculated using network data, allows us to systematically separate the respective roles of dynamics, noise and topology of the underlying networked system...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229249/adcy5-related-dyskinesia-presenting-as-familial-myoclonus-dystonia
#7
Andrew G L Douglas, Gaia Andreoletti, Kevin Talbot, Simon R Hammans, Jaspal Singh, Andrea Whitney, Sarah Ennis, Nicola C Foulds
We describe a family with an autosomal dominant familial dyskinesia resembling myoclonus-dystonia associated with a novel missense mutation in ADCY5, found through whole-exome sequencing. A tiered analytical approach was used to analyse whole-exome sequencing data from an affected grandmother-granddaughter pair. Whole-exome sequencing identified 18,000 shared variants, of which 46 were non-synonymous changes not present in a local cohort of control exomes (n = 422). Further filtering based on predicted splicing effect, minor allele frequency in the 1000 Genomes Project and on phylogenetic conservation yielded 13 candidate variants, of which the heterozygous missense mutation c...
February 22, 2017: Neurogenetics
https://www.readbyqxmd.com/read/28227971/a-feature-exploration-methodology-for-learning-based-cuffless-blood-pressure-measurement-using-photoplethysmography
#8
Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Kefeng Duan, Zhiliang Qian, Mohamed Atef, Guoxing Wang, Zhiliang Qian, Kefeng Duan, Guoxing Wang, Mohamed Atef
In this work, we propose a feature exploration method for learning-based cuffless blood pressure measurement. More specifically, to efficiently explore a large feature space from the photoplethysmography signal, we have applied several analytical techniques, including random error elimination, adaptive outlier removal, maximum information coefficient and Pearson's correlation coefficient based feature assessment methods. We evaluate fifty-seven possible feature candidates and propose three separate feature sets with each containing eleven features to predict the systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean blood pressure (MBP), respectively...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227218/effect-of-wearable-sensor-dynamics-on-physical-activity-estimates-a-comparison-between-sci-vs-healthy-individuals
#9
C Jayaraman, C K Mummidisetty, A Jayaraman, C Jayaraman, C K Mummidisetty, A Jayaraman, C K Mummidisetty, A Jayaraman, C Jayaraman
Accuracy of physical activity estimates predicted by activity monitoring technologies may be affected by device location, analysis algorithms, type of technology (i.e. wearable/stickable) and population demographics (disability) being studied. Consequently, the main purpose of this investigation was to study such sensor dynamics (i.e. effect of device location, type and population demographics on energy expenditure estimates) of two commercial activity monitors. It was hypothesized that device location, population studied (disability), choice of proprietary algorithm and type of technology used will significantly impact the accuracy of the predicted physical activity metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227033/advanced-analytics-for-outcome-prediction-in-intensive-care-units
#10
Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Mohamed Rehman, Ali Jalali, Vinay Nadkanri, Dieter Bender, C Nataraj
In this paper we present a new expert knowledge based clinical decision support system for prediction of intensive care units outcome based on the physiological measurements collected during the first 48 hours of the patient's admission to the ICU. The developed CDSS algorithm is composed of several stages. First, we categorize the collected data based on the physiological organ that they represent. We then extract clinically relevant features from each data category and then rank these features based on their mutual information with the outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225443/bringing-big-data-to-the-forefront-of-healthcare-delivery-the-experience-of-carolinas-healthcare-system
#11
Michael F Dulin, Carol A Lovin, Jean A Wright
The use of big data to transform care delivery is rapidly becoming a reality. To deliver on the promise of value-based care, providers must know the key drivers of wellness at the patient and community levels, as well as understand resource constraints and opportunities to improve efficiency in the health-care system itself. Data are the linchpin. By gathering the right data and finding innovative ways to glean knowledge, we can improve clinical care, advance the health of our communities, improve the lives of our patients, and operate more efficiently...
January 2017: Frontiers of Health Services Management
https://www.readbyqxmd.com/read/28224248/vis-nir-spectroscopy-with-moving-window-pls-method-applied-to-rapid-analysis-of-whole-blood-viscosity
#12
Jiemei Chen, Zhiwei Yin, Yi Tang, Tao Pan
A rapid analytical method of human whole blood viscosity with low, medium, and high shear rates [WBV(L), WBV(M), and WBV(H), respectively] was developed using visible and near-infrared (Vis-NIR) spectroscopy combined with a moving-window partial least squares (MW-PLS) method. Two groups of peripheral blood samples were collected for modeling and validation. Separate analytical models were established for male and female groups to avoid interference in different gender groups and improve the homogeneity and prediction accuracy...
February 21, 2017: Analytical and Bioanalytical Chemistry
https://www.readbyqxmd.com/read/28224123/model-based-pat-for-quality-management-in-pharmaceuticals-freeze-drying-state-of-the-art
#13
REVIEW
Davide Fissore
Model-based process analytical technologies can be used for the in-line control and optimization of a pharmaceuticals freeze-drying process, as well as for the off-line design of the process, i.e., the identification of the optimal operating conditions. This paper aims at presenting the state of the art in this field, focusing, particularly, on three groups of systems, namely, those based on the temperature measurement (i.e., the soft sensor), on the chamber pressure measurement (i.e., the systems based on the test of pressure rise and of pressure decrease), and on the sublimation flux estimate (i...
2017: Frontiers in Bioengineering and Biotechnology
https://www.readbyqxmd.com/read/28223139/the-role-of-il-1-gene-polymorphisms-il1a-il1b-and-il1rn-as-a-risk-factor-in-unsuccessful-implants-retaining-overdentures
#14
Margarida Sampaio Fernandes, Paula Vaz, Ana Cristina Braga, João Carlos Sampaio Fernandes, Maria Helena Figueiral
PURPOSE: Implant-supported overdentures are an alternative predictable rehabilitation method that has a high impact on improving the patient's quality of life. However, some biological complications may interfere with the maintenance and survival of these overdenture implants. The goal of this article was to assess the factors that affect peri-implant success, through a hypothetical prediction model for biological complications of implant overdentures. METHODS: A retrospective observational, prevalence study was conducted in 58 edentulous Caucasian patients rehabilitated with implant overdentures...
February 17, 2017: Journal of Prosthodontic Research
https://www.readbyqxmd.com/read/28220874/modeling-contribution-of-shallow-groundwater-to-evapotranspiration-and-yield-of-maize-in-an-arid-area
#15
Xiaoyu Gao, Zailin Huo, Zhongyi Qu, Xu Xu, Guanhua Huang, Tammo S Steenhuis
Capillary rise from shallow groundwater can decrease the need for irrigation water. However, simple techniques do not exist to quantify the contribution of capillary flux to crop water use. In this study we develop the Agricultural Water Productivity Model for Shallow Groundwater (AWPM-SG) for calculating capillary fluxes from shallow groundwater using readily available data. The model combines an analytical solution of upward flux from groundwater with the EPIC crop growth model. AWPM-SG was calibrated and validated with 2-year lysimetric experiment with maize...
February 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28220758/a-bio-inspired-electrocommunication-system-for-small-underwater-robots
#16
Wei Wang, Jindong Liu, Guangming Xie, Li Wen, Jianwei Zhang
Weakly electric fishes (Gymnotid and Mormyrid) use an electric field to communicate efficiently (termed electrocommunication) in the turbid waters of confined spaces where other communication modalities fail. Inspired by this biological phenomenon, we design an artificial electrocommunication system for small underwater robots and explore the capabilities of such an underwater robotic communication system. An analytical model for electrocommunication is derived to predict the effect of the key parameters such as electrode distance and emitter current of the system on the communication performance...
February 21, 2017: Bioinspiration & Biomimetics
https://www.readbyqxmd.com/read/28220053/simulation-study-on-effects-of-order-and-step-size-of-runge-kutta-methods-that-solve-contagious-disease-and-tumor-models
#17
Wang Z, Wang Q, Klinke Dj
Biological processes such as contagious disease spread patterns and tumor growth dynamics are modelled using a set of coupled differential equations. Experimental data is usually used to calibrate models so they can be used to make future predictions. In this study, numerical methods were implemented to approximate solutions to mathematical models that were not solvable analytically, such as a SARS model. More complex models such as a tumor growth model involve high-dimensional parameter spaces; efficient numerical simulation techniques were used to search for optimal or close-to-optimal parameter values in the equations...
September 2016: Journal of Computer Science and Systems Biology
https://www.readbyqxmd.com/read/28218247/laser-driven-ion-acceleration-from-plasma-micro-channel-targets
#18
D B Zou, A Pukhov, L Q Yi, H B Zhou, T P Yu, Y Yin, F Q Shao
Efficient energy boost of the laser-accelerated ions is critical for their applications in biomedical and hadron research. Achiev-able energies continue to rise, with currently highest energies, allowing access to medical therapy energy windows. Here, a new regime of simultaneous acceleration of ~100 MeV protons and multi-100 MeV carbon-ions from plasma micro-channel targets is proposed by using a ~10(20) W/cm(2) modest intensity laser pulse. It is found that two trains of overdense electron bunches are dragged out from the micro-channel and effectively accelerated by the longitudinal electric-field excited in the plasma channel...
February 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28216427/utilization-of-the-bootstrap-method-for-determining-confidence-intervals-of-parameters-for-a-model-of-map1b-protein-transport-in-axons
#19
I A Kuznetsov, A V Kuznetsov
This paper develops a model of axonal transport of MAP1B protein. The problem of determining parameter values for the proposed model utilizing limited available experimental data is addressed. We used a global minimum search algorithm to find parameter values that minimize the discrepancy between model predictions and published experimental results. By analyzing the best fit parameter values it was established that some processes can be dropped from the model without losing accuracy, thus a simplified version of the model was formulated...
February 16, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28215408/predictive-validity-and-reliability-of-the-braden-scale-for-risk-assessment-of-pressure-ulcers-in-an-intensive-care-unit
#20
M Lima-Serrano, M I González-Méndez, C Martín-Castaño, I Alonso-Araujo, J S Lima-Rodríguez
OBJECTIVE: Contribution to validation of the Braden scale in patients admitted to the ICU, based on an analysis of its reliability and predictive validity. DESIGN: An analytical, observational, longitudinal prospective study was carried out. SETTING: Intensive Care Unit, Hospital Virgen del Rocío, Seville (Spain). PATIENTS: Patients aged 18years or older and admitted for over 24hours to the ICU were included. Patients with pressure ulcers upon admission were excluded...
February 15, 2017: Medicina Intensiva
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