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A hierarchical model for simultaneous detection and estimation in multi-subject fMRI Studies  [PDF]
David Degras,Martin A. Lindquist
Statistics , 2014, DOI: 10.1016/j.neuroimage.2014.04.052
Abstract: In this paper we introduce a new hierarchical model for the simultaneous detection of brain activation and estimation of the shape of the hemodynamic response in multi-subject fMRI studies. The proposed approach circumvents a major stumbling block in standard multi-subject fMRI data analysis, in that it both allows the shape of the hemodynamic response function to vary across region and subjects, while still providing a straightforward way to estimate population-level activation. An efficient estimation algorithm is presented, as is an inferential framework that not only allows for tests of activation, but also for tests for deviations from some canonical shape. The model is validated through simulations and application to a multi-subject fMRI study of thermal pain.
Wavelet analysis of the hydrological time series of Dalai Lake, Inner Mongolia, China

KeLi Jia,Jian Huang,

寒旱区科学 , 2013,
Abstract: An important new development in hydrological data analysis in the last decade is the application of wavelet analysis. Here, wavelet theory is used to study the complexity and multi-scale periodicity of the hydrological time series of the Dalai Lake Basin in Inner Mongolia. Two large rivers, the Kelulun and the Wurxun, are the main inflows to Dalai Lake, which is currently shrinking. The annual and monthly flows of the Kelulun River are shown to vary more than those of the Wurxun River, and the monthly flows of the two rivers vary much more than their annual flows. Db5 wavelets are shown to be more suitable for annual flow calculations, whereas Db4 wavelets are more suitable for monthly flow calculations. Multi-scale wavelet analysis of the annual and monthly flows of the Kelulun and Wurxun rivers shows that the variation of the two rivers is similar and has a 25-year cycle, 12 years of wet and 12 years of drought periods, and our results show that both rivers are expected to transition into a wet period beginning in 2012. Therefore, the Dalai Lake Basin, which has been in a drought period since 2000, is expected to gradually transit into a wet period from 2012 onward.
Application of change-point analysis to determine winter sleep patterns of the raccoon dog (Nyctereutes procyonoides) from body temperature recordings and a multi-faceted dietary and behavioral study of wintering  [cached]
Mustonen Anne-Mari,Lempi?inen Terttu,Aspelund Mikko,Hellstedt Paavo
BMC Ecology , 2012, DOI: 10.1186/1472-6785-12-27
Abstract: Background A multi-faceted approach was used to investigate the wintertime ecophysiology and behavioral patterns of the raccoon dog, Nyctereutes procyonoides, a suitable model for winter sleep studies. By utilizing GPS tracking, activity sensors, body temperature (Tb) recordings, change-point analysis (CPA), home range, habitat and dietary analyses, as well as fatty acid signatures (FAS), the impact of the species on wintertime food webs was assessed. The timing of passive bouts was determined with multiple methods and compared to Tb data analyzed by CPA. Results Raccoon dogs displayed wintertime mobility, and the home range sizes determined by GPS were similar or larger than previous estimates by radio tracking. The preferred habitats were gardens, shores, deciduous forests, and sparsely forested areas. Fields had close to neutral preference; roads and railroads were utilized as travel routes. Raccoon dogs participated actively in the food web and gained benefit from human activity. Mammals, plants, birds, and discarded fish comprised the most important dietary classes, and the consumption of fish could be detected in FAS. Ambient temperature was an important external factor influencing Tb and activity. The timing of passive periods approximated by behavioral data and by CPA shared 91% similarity. Conclusions Passive periods can be determined with CPA from Tb recordings without the previously used time-consuming and expensive methods. It would be possible to recruit more animals by using the simple methods of data loggers and ear tags. Hunting could be used as a tool to return the ear-tagged individuals allowing the economical extension of follow-up studies. The Tb and CPA methods could be applied to other northern carnivores.
Preparation of multi-color quantum dots and its application to immunohistochemical analysis
BingBo Zhang,XuHui Liu,DeNa Li,Hui Tian,GuiPing Ma,Jin Chang
Chinese Science Bulletin , 2008, DOI: 10.1007/s11434-008-0270-0
Abstract: Quantum dots (QDs) have the potential to be used in the multiplexed bioanalysis for their unique property: multi-color QDs can be excited at the same single wavelength light. In this work, high quantum yield multi-color core/shell QDs were prepared. After being water-solubilized by amphiphilic polymer based on self-assembling, the QDs would be labeled by two different IgGs and used in the multiplexed biodetection. Fluorescence resonance energy transfer (FRET) should be avoided in the multiplexed biodetection. In this work, spectral analysis showed that no FRET appeared in water-soluble QDs modified by amphiphilic polymer. The immunofluorescence in vitro indicated that the QDs-IgGs bioconjugates had excellent species-specific detection ability with nearly non-specific binding. The setting of this model will help to support the application of multi-color QDs in the multiplexed bioanalysis communities.
The Impact Analysis of Psychological Reliability of Population Pilot Study For Selection of Particular Reliable Multi-Choice Item Test in Foreign Language Research Work
Seyed Hossein Fazeli
Journal of Language and Linguistic Studies , 2010,
Abstract: The purpose of research described in the current study is the psychological reliability, its’ importance, application, and more to investigate on the impact analysis of psychological reliability of population pilot study for selection of particular reliable multi-choice item test in foreign language research work. The population for subject recruitment was all under graduated students from second semester at large university in Iran (both male and female) that study English as a compulsory paper. In Iran, English is taught as a foreign language.
Multi-TGDR: A Regularization Method for Multi-Class Classification in Microarray Experiments  [PDF]
Suyan Tian, Mayte Suárez-Fari?as
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0078302
Abstract: Background As microarray technology has become mature and popular, the selection and use of a small number of relevant genes for accurate classification of samples has arisen as a hot topic in the circles of biostatistics and bioinformatics. However, most of the developed algorithms lack the ability to handle multiple classes, arguably a common application. Here, we propose an extension to an existing regularization algorithm, called Threshold Gradient Descent Regularization (TGDR), to specifically tackle multi-class classification of microarray data. When there are several microarray experiments addressing the same/similar objectives, one option is to use a meta-analysis version of TGDR (Meta-TGDR), which considers the classification task as a combination of classifiers with the same structure/model while allowing the parameters to vary across studies. However, the original Meta-TGDR extension did not offer a solution to the prediction on independent samples. Here, we propose an explicit method to estimate the overall coefficients of the biomarkers selected by Meta-TGDR. This extension permits broader applicability and allows a comparison between the predictive performance of Meta-TGDR and TGDR using an independent testing set. Results Using real-world applications, we demonstrated the proposed multi-TGDR framework works well and the number of selected genes is less than the sum of all individualized binary TGDRs. Additionally, Meta-TGDR and TGDR on the batch-effect adjusted pooled data approximately provided same results. By adding Bagging procedure in each application, the stability and good predictive performance are warranted. Conclusions Compared with Meta-TGDR, TGDR is less computing time intensive, and requires no samples of all classes in each study. On the adjusted data, it has approximate same predictive performance with Meta-TGDR. Thus, it is highly recommended.
Land Use Suitability Analysis Using Multi Criteria Decision Analysis Method for Coastal Management and Planning: A Case Study of Malaysia  [PDF]
M. Bagheri,W.N.A. Sulaiman,N. Vaghefi
Journal of Environmental Science and Technology , 2012,
Abstract: There is an urgent need to evaluate the land use suitability in coastal area because of increasing population, providing place for naturally protective coastal ecosystem and improving cumulative impacts. This study presented an application of multi criteria decision analysis technique as an approach to deal with regional coastal management and planning. Analytical Hierarchy Process (AHP) technique has been used to obtain preference weights of land use suitability criteria in a study area located in Marang region in Malaysia. AHP technique is a useful tool to deal with the problem to design the alternatives which optimize the objectives. Furthermore, this technique can be used by researchers to make a precise decision and acceptable personal judgements together with expert knowledge.
An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol
Marie-Pierre Gagnon, France Légaré, Jean-Paul Fortin, Lise Lamothe, Michel Labrecque, Julie Duplantie
BMC Medical Informatics and Decision Making , 2008, DOI: 10.1186/1472-6947-8-17
Abstract: A three-year multi-method study is being conducted in the Province of Quebec (Canada). Decision-making at each decisional level (political, organisational and clinical) are analysed based on specific approaches. At the political level, critical incidents analysis is being used. This method will identify how decisions regarding the implementation of e-health could be influenced or not by scientific knowledge. Then, interviews with key-decision-makers will look at how knowledge was actually used to support their decisions, and what factors influenced its use. At the organisational level, e-health projects are being analysed as case studies in order to explore the use of scientific knowledge to support decision-making during the implementation of the technology. Interviews with promoters, managers and clinicians will be carried out in order to identify factors influencing the production and application of scientific knowledge. At the clinical level, questionnaires are being distributed to clinicians involved in e-health projects in order to analyse factors influencing knowledge application in their decision-making. Finally, a triangulation of the results will be done using mixed methodologies to allow a transversal analysis of the results at each of the decisional levels.This study will identify factors influencing the use of scientific evidence and other types of knowledge by decision-makers involved in planning, financing, implementing and evaluating e-health projects.These results will be highly relevant to inform decision-makers who wish to optimise the implementation of e-health in the Quebec health care system. This study is extremely relevant given the context of major transformations in the health care system where e-health becomes a must.Effectiveness, efficiency and equity are the core goals of the Canadian health care system [1]. To achieve these goals, several experiments based on e-health – the application of information and communication technologies (ICT
Application of the phylogenetic analysis in mitochondrial disease study
ChengYe Wang,QingPeng Kong,YaPing Zhang
Chinese Science Bulletin , 2008, DOI: 10.1007/s11434-008-0380-8
Abstract: Mitochondrial disease currently received an increasing concern. However, the case-control design commonly adopted in this field is vulnerable to genetic background, population stratification and poor data quality. Although the phylogenetic analysis could help solve part of these problems, it has not received adequate attention. This paper is a review of this method as well as its application in mitochondrial disease study.
Multi-agent Robust Consensus: Convergence Analysis and Application  [PDF]
Guodong Shi,Karl Henrik Johansson
Computer Science , 2011,
Abstract: The paper investigates consensus problem for continuous-time multi-agent systems with time-varying communication graphs subject to process noises. Borrowing the ideas from input-to-state stability (ISS) and integral input-to-state stability (iISS), robust consensus and integral robust consensus are defined with respect to $L_\infty$ and $L_1$ norms of the disturbance functions, respectively. Sufficient and/or necessary connectivity conditions are obtained for the system to reach robust consensus or integral robust consensus, which answer the question: how much communication capacity is required for a multi-agent network to converge despite certain amount of disturbance. The $\epsilon$-convergence time is then obtained for the network as a special case of the robustness analysis. The results are based on quite general assumptions on switching graph, weights rule and noise regularity. In addition, as an illustration of the applicability of the results, distributed event-triggered coordination is studied.
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