keyword
MENU ▼
Read by QxMD icon Read
search

Markov condition

keyword
https://www.readbyqxmd.com/read/27908084/a-robust-automatic-birdsong-phrase-classification-a-template-based-approach
#1
Kantapon Kaewtip, Abeer Alwan, Colm O'Reilly, Charles E Taylor
Automatic phrase detection systems of bird sounds are useful in several applications as they reduce the need for manual annotations. However, birdphrase detection is challenging due to limited training data and background noise. Limited data occur because of limited recordings or the existence of rare phrases. Background noise interference occurs because of the intrinsic nature of the recording environment such as wind or other animals. This paper presents a different approach to birdsong phrase classification using template-based techniques suitable even for limited training data and noisy environments...
November 2016: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/27906962/population-density-climate-variables-and-poverty-synergistically-structure-spatial-risk-in-urban-malaria-in-india
#2
Mauricio Santos-Vega, Menno J Bouma, Vijay Kohli, Mercedes Pascual
BACKGROUND: The world is rapidly becoming urban with the global population living in cities projected to double by 2050. This increase in urbanization poses new challenges for the spread and control of communicable diseases such as malaria. In particular, urban environments create highly heterogeneous socio-economic and environmental conditions that can affect the transmission of vector-borne diseases dependent on human water storage and waste water management. Interestingly India, as opposed to Africa, harbors a mosquito vector, Anopheles stephensi, which thrives in the man-made environments of cities and acts as the vector for both Plasmodium vivax and Plasmodium falciparum, making the malaria problem a truly urban phenomenon...
December 2016: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/27899706/mixed-hidden-markov-quantile-regression-models-for-longitudinal-data-with-possibly-incomplete-sequences
#3
Maria Francesca Marino, Nikos Tzavidis, Marco Alfò
Quantile regression provides a detailed and robust picture of the distribution of a response variable, conditional on a set of observed covariates. Recently, it has be been extended to the analysis of longitudinal continuous outcomes using either time-constant or time-varying random parameters. However, in real-life data, we frequently observe both temporal shocks in the overall trend and individual-specific heterogeneity in model parameters. A benchmark dataset on HIV progression gives a clear example. Here, the evolution of the CD4 log counts exhibits both sudden temporal changes in the overall trend and heterogeneity in the effect of the time since seroconversion on the response dynamics...
November 28, 2016: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/27898803/identification-and-expression-profiling-of-the-lectin-gene-superfamily-in-mulberry
#4
Bushra Saeed, Vinay K Baranwal, Paramjit Khurana
Lectins are a diverse group of ubiquitously present, highly specific sugar-binding proteins. Members of this large gene family have been assigned broad biological functions from defense to acting as storage proteins. Despite possessing several interesting characteristics, their functions remain essentially undefined. Mulberry ( spp.) known for its medicinal benefits is also a rich source of lectins. Using an exhaustive hidden Markov model (HMM)-based search, we identified the lectin gene complement in C.K. Schneid with around 197 members...
July 2016: Plant Genome
https://www.readbyqxmd.com/read/27890842/treatment-of-a-patient-with-abdominal-aortic-aneurysm-and-hepatocelular-carcinoma
#5
Slobodan Cvetkovic, Igor Koncar, Daniel Galun, Jelena Ribac, Miroslav Markovic, Nikola Ilic, Marko Dragas, Lazar Davidovic
INTRODUCTION: The surgical tactics in cases of AAA and intra-abdominal malignancy are not uniform in the literature and are still a matter of debate. CASE REPORT: In this case report, we present a patient with coexisting AAA and primary liver cancer managed by simultaneous open AAA repair and liver resection After laparotomy and intraoperative liver ultrasonography that confirmed resectability of the tumor, aneurysm repair was performed with aorto-aortic tube grafting after interrenal cross-clamping Radiofrequency-assisted liver transection was performed to complete an anterior anatomic resection of liver segments VI and VII...
November 24, 2016: Annals of Vascular Surgery
https://www.readbyqxmd.com/read/27880840/modelling-carbon-emissions-in-calluna-vulgaris-dominated-ecosystems-when-prescribed-burning-and-wildfires-interact
#6
Victor M Santana, Josu G Alday, HyoHyeMi Lee, Katherine A Allen, Rob H Marrs
A present challenge in fire ecology is to optimize management techniques so that ecological services are maximized and C emissions minimized. Here, we modeled the effects of different prescribed-burning rotation intervals and wildfires on carbon emissions (present and future) in British moorlands. Biomass-accumulation curves from four Calluna-dominated ecosystems along a north-south gradient in Great Britain were calculated and used within a matrix-model based on Markov Chains to calculate above-ground biomass-loads and annual C emissions under different prescribed-burning rotation intervals...
2016: PloS One
https://www.readbyqxmd.com/read/27846677/information-management-in-dna-replication-modeled-by-directional-stochastic-chains-with-memory
#7
J Ricardo Arias-Gonzalez
Stochastic chains represent a key variety of phenomena in many branches of science within the context of information theory and thermodynamics. They are typically approached by a sequence of independent events or by a memoryless Markov process. Stochastic chains are of special significance to molecular biology, where genes are conveyed by linear polymers made up of molecular subunits and transferred from DNA to proteins by specialized molecular motors in the presence of errors. Here, we demonstrate that when memory is introduced, the statistics of the chain depends on the mechanism by which objects or symbols are assembled, even in the slow dynamics limit wherein friction can be neglected...
November 14, 2016: Journal of Chemical Physics
https://www.readbyqxmd.com/read/27846430/synchronization-of-discrete-time-neural-networks-with-delays-and-markov-jump-topologies-based-on-tracker-information
#8
Xinsong Yang, Zhiguo Feng, Jianwen Feng, Jinde Cao
In this paper, synchronization in an array of discrete-time neural networks (DTNNs) with time-varying delays coupled by Markov jump topologies is considered. It is assumed that the switching information can be collected by a tracker with a certain probability and transmitted from the tracker to controller precisely. Then the controller selects suitable control gains based on the received switching information to synchronize the network. This new control scheme makes full use of received information and overcomes the shortcomings of mode-dependent and mode-independent control schemes...
October 27, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/27846421/multivariate-poisson-lognormal-modeling-of-crashes-by-type-and-severity-on-rural-two-lane-highways
#9
Kai Wang, John N Ivan, Nalini Ravishanker, Eric Jackson
In an effort to improve traffic safety, there has been considerable interest in estimating crash prediction models and identifying factors contributing to crashes. To account for crash frequency variations among crash types and severities, crash prediction models have been estimated by type and severity. The univariate crash count models have been used by researchers to estimate crashes by crash type or severity, in which the crash counts by type or severity are assumed to be independent of one another and modelled separately...
November 12, 2016: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/27836170/bayesian-monte-carlo-and-maximum-likelihood-approach-for-uncertainty-estimation-and-risk-management-application-to-lake-oxygen-recovery-model
#10
Abhishek Chaudhary, Mohamed M Hantush
Model uncertainty estimation and risk assessment is essential to environmental management and informed decision making on pollution mitigation strategies. In this study, we apply a probabilistic methodology, which combines Bayesian Monte Carlo simulation and Maximum Likelihood estimation (BMCML) to calibrate a lake oxygen recovery model. We first derive an analytical solution of the differential equation governing lake-averaged oxygen dynamics as a function of time-variable wind speed. Statistical inferences on model parameters and predictive uncertainty are then drawn by Bayesian conditioning of the analytical solution on observed daily wind speed and oxygen concentration data obtained from an earlier study during two recovery periods on a eutrophic lake in upper state New York...
January 1, 2017: Water Research
https://www.readbyqxmd.com/read/27824102/tracing-the-influence-of-mediterranean-climate-on-southeastern-europe-during-the-past-350-000-years
#11
Igor Obreht, Christian Zeeden, Ulrich Hambach, Daniel Veres, Slobodan B Marković, Janina Bösken, Zorica Svirčev, Nikola Bačević, Milivoj B Gavrilov, Frank Lehmkuhl
Loess-palaeosol sequences are valuable archives of past environmental changes. Although regional palaeoclimatic trends and conditions in Southeastern Europe have been inferred from loess sequences, large scale forcing mechanisms responsible for their formation have yet to be determined. Southeastern Europe is a climatically sensitive region, existing under the strong influence of both Mediterranean and continental climates. Establishment of the spatial and temporal evolution and interaction of these climatic areas is essential to understand the mechanisms of loess formation...
November 8, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27822262/a-cost-utility-and-cost-effectiveness-analysis-of-different-oral-antiviral-medications-in-patients-with-hbeag-negative-chronic-hepatitis-b-in-iran-an-economic-microsimulation-decision-model
#12
Khosro Keshavarz, Abbas Kebriaeezadeh, Seyed Moayed Alavian, Ali Akbari Sari, Mohsen Rezaei Hemami, Farhad Lotfi, Amir Hashemi Meshkini, Mehdi Javanbakht, Maryam Keshvari, Shekoufeh Nikfar
BACKGROUND: Although hepatitis B infection is the major cause of chronic liver disease in Iran, no studies have employed economic evaluations of the medications used to treat Iranian patients with chronic hepatitis B (CHB). Therefore, the cost-effectiveness of the different treatment options for this disease in Iran is unknown. OBJECTIVES: The aim of this study was to compare the cost utility and cost-effectiveness of medication strategies tailored to local conditions in patients with HB e antigen (HBeAg)-negative CHB infection in Iran...
September 2016: Hepatitis Monthly
https://www.readbyqxmd.com/read/27807470/a-bayesian-hierarchical-spatial-model-for-dental-caries-assessment-using-non-gaussian-markov-random-fields
#13
Ick Hoon Jin, Ying Yuan, Dipankar Bandyopadhyay
Research in dental caries generates data with two levels of hierarchy: that of a tooth overall and that of the different surfaces of the tooth. The outcomes often exhibit spatial referencing among neighboring teeth and surfaces, i.e., the disease status of a tooth or surface might be influenced by the status of a set of proximal teeth/surfaces. Assessments of dental caries (tooth decay) at the tooth level yield binary outcomes indicating the presence/absence of teeth, and trinary outcomes at the surface level indicating healthy, decayed, or filled surfaces...
2016: Annals of Applied Statistics
https://www.readbyqxmd.com/read/27796763/a-two-stage-approach-to-differentiating-normal-and-aberrant-behavior-in-computer-based-testing
#14
Chun Wang, Gongjun Xu, Zhuoran Shang
Statistical methods for identifying aberrances on psychological and educational tests are pivotal to detect flaws in the design of a test or irregular behavior of test takers. Two approaches have been taken in the past to address the challenge of aberrant behavior detection, which are (1) modeling aberrant behavior via mixture modeling methods, and (2) flagging aberrant behavior via residual based outlier detection methods. In this paper, we propose a two-stage method that is conceived of as a combination of both approaches...
October 28, 2016: Psychometrika
https://www.readbyqxmd.com/read/27787780/performance-analysis-of-ieee-802-15-6-csma-ca-protocol-for-wban-medical-scenario-through-dtmc-model
#15
Vivek Kumar, Bharat Gupta
The newly drafted IEEE 802.15.6 standard for Wireless Body Area Networks (WBAN) has been concentrating on a numerous medical and non-medical applications. Such short range wireless communication standard offers ultra-low power consumption with variable data rates from few Kbps to Mbps in, on or around the proximity of the human body. In this paper, the performance analysis of carrier sense multiple access with collision avoidance (CSMA/CA) scheme based on IEEE 802.15.6 standard in terms of throughput, reliability, clear channel assessment (CCA) failure probability, packet drop probability, and end-to-end delay has been presented...
December 2016: Journal of Medical Systems
https://www.readbyqxmd.com/read/27775907/calculating-the-expected-time-to-eradicate-hiv-1-using-a-markov-chain
#16
Narayanan Viswanath
In this study, the expected time required to eradicate HIV-1 completely was found as the conditional absorbing time in a finite state space continuous-time Markov chain model. The Markov chain has two absorbing states: one corresponds to HIV eradication and another representing the possible disaster. This method allowed us to calculate the expected eradication time by solving systems of linear equations. To overcome the challenge of huge dimension of the problem, we applied a novel stop and resume technique...
October 20, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/27774099/improving-eye-motion-sequence-recognition-using-electrooculography-based-on-context-dependent-hmm
#17
Fuming Fang, Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa, Sadaoki Furui, Toshimitsu Musha
Eye motion-based human-machine interfaces are used to provide a means of communication for those who can move nothing but their eyes because of injury or disease. To detect eye motions, electrooculography (EOG) is used. For efficient communication, the input speed is critical. However, it is difficult for conventional EOG recognition methods to accurately recognize fast, sequentially input eye motions because adjacent eye motions influence each other. In this paper, we propose a context-dependent hidden Markov model- (HMM-) based EOG modeling approach that uses separate models for identical eye motions with different contexts...
2016: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/27768224/acquired-ectropion-uveae-and-secondary-glaucoma-due-to-trauma-report-of-3-cases
#18
Vujica Markovic, Dragan Vukovic, Aleksandra Radosavljevic, Ivan Marjanovic
PURPOSE: To investigate the possible association between acquired ectropion uveae and blunt trauma to the eye. We present 3 cases of acquired ectropion uveae that occurred after blunt trauma to the eye. There are no previously published data on possible association of these conditions. METHODS: A retrospective review was conducted of patients with ectropion uveae and eye injury at University Eye Hospital over a 10-year period (2006-2016). We analyzed medical records and clinical findings...
October 21, 2016: European Journal of Ophthalmology
https://www.readbyqxmd.com/read/27764593/on-the-mathematical-consequences-of-binning-spike-trains
#19
Bruno Cessac, Arnaud Le Ny, Eva Löcherbach
We initiate a mathematical analysis of hidden effects induced by binning spike trains of neurons. Assuming that the original spike train has been generated by a discrete Markov process, we show that binning generates a stochastic process that is no longer Markov but is instead a variable-length Markov chain (VLMC) with unbounded memory. We also show that the law of the binned raster is a Gibbs measure in the DLR (Dobrushin-Lanford-Ruelle) sense coined in mathematical statistical mechanics. This allows the derivation of several important consequences on statistical properties of binned spike trains...
October 20, 2016: Neural Computation
https://www.readbyqxmd.com/read/27746850/predictive-modeling-of-cholera-outbreaks-in-bangladesh
#20
Amanda A Koepke, Ira M Longini, M Elizabeth Halloran, Jon Wakefield, Vladimir N Minin
Despite seasonal cholera outbreaks in Bangladesh, little is known about the relationship between environmental conditions and cholera cases. We seek to develop a predictive model for cholera outbreaks in Bangladesh based on environmental predictors. To do this, we estimate the contribution of environmental variables, such as water depth and water temperature, to cholera outbreaks in the context of a disease transmission model. We implement a method which simultaneously accounts for disease dynamics and environmental variables in a Susceptible-Infected-Recovered-Susceptible (SIRS) model...
June 2016: Annals of Applied Statistics
keyword
keyword
84616
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"