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Biodiversity Conservation and Phylogenetic Systematics
Preserving our evolutionary heritage in an extinction crisis...
View Book →Tables, factors, and formulas for computing respiratory exchange and biological transformations of e
No description available....
View Book →Nonlinear Dynamics of the Lithosphere and Earthquake Prediction
The vulnerability of our civilization to earthquakes is rapidly growing, rais ing earthquakes to the ranks of major threats faced by humankind. Earth quake prediction is necessary to reduce that threa...
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Multiple-Aspect Analysis of Semantic Trajectories
First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
View Book →DATA SCIENCE WORKSHOP: Chronic Kidney Disease Classification and Prediction Using Machine Learning a
In the captivating journey of our data science workshop, we embarked on the exploration of Chronic Kidney Disease classification and prediction. Our quest began with a thorough dive into data explorat...
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Improving the consensus performance via predictive mechanisms
Considering some predictive mechanisms, we show that ultrafast average-consensus can be achieved in networks of interconnected agents. More specifically, by predicting the dynamics of the network seve...
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Uses of Technology in Lower Secondary Mathematics Education
A Concise Topical Survey...
View Book →Refinery Engineering
A pioneering and comprehensive introduction to the complex subject of integrated refinery process simulation, using many of the tools and techniques currently employed in modern refineries. Adopting a...
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A New Formal Approach for Predicting Period Doubling Bifurcations in Switching Converters
Period doubling bifurcation leading to subharmonic oscillations are undesired phenomena in switching converters. In past studies, their prediction has been mainly tackled by explicitly deriving a disc...
View Book →Prediction of Stock Market Index Movements with Machine Learning
The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes an...
View Book →Educational Tests for Use in Elementary Schools
No description available....
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Russian banking : evolution, problems and prospects
xix, 268 p. ; 25 cm...
View Book →Predicting Contaminant Transport Along Veins and Fractures in Saprolite Above the Water Table
No description available....
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Article 43 Separation Anxiety And Its Relationship To Addiction To E Games In Primary School Pupils
This study aims to reveal the correlation between separation anxiety and addiction to e-games in elementary pupils by following the correlative and analytical descriptive curriculum on a progressive s...
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Kernel methods for in silico chemogenomics
Predicting interactions between small molecules and proteins is a crucial ingredient of the drug discovery process. In particular, accurate predictive models are increasingly used to preselect potenti...
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Perspectives on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy
...
View Book →Congress of Arts and Science: History of politics and economics. History of law. History of religion
No description available....
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Accurate Prediction of Protein Functional Class From Sequence in the Mycobacterium Tuberculosis and
This article is from Yeast (Chichester, England) , volume 17 . Abstract The analysis of genomics data needs to become as automated as its generation. Here we present a novel data-mining approach to pr...
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Rare Decays in Theories with LGS
Gravitational decays in particle physics are expected to violate the B and L quantum numbers. In the standard theory, where gravity is weak because of the huge value of Planck mass, the observation of...
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Nucleosome shape dictates chromatin-fiber structure
Apart from being the gateway for all access to the eukaryotic genome, chromatin has in recent years been identified as carrying an epigenetic code regulating transcriptional activity. The detailed kno...
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Systematic Effects on Tangential and Radial Arc Statistics: The Finite Source Size and Ellipticities
It has been recognized that the arc statistics of gravitational lensing is a useful probe of the density profile of clusters of galaxies. We examine several systematic effects which are important in p...
View Book →Predicting Groundwater Flow and Transport Using Michigan's Statewide Wellogic Database
No description available....
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Evolution, Monitoring and Predicting Models of Rockburst
Precursor Information for Rock Failure...
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PISS TAKING AS AN ART FORM Digital
Many a true things are spoken in jest, and the manner with which the author used English language to counter lies and deception to overcome hurdles, hundreds of thousands of traps set for him by the S...
View Book →Bridgeview Health Care Center, Ltd. V. Clark
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Predicting Whether or Not Agricultural Education Graduates Will Teach. A Report of Research.
Available on Internet Archive....
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
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Comparison of Spline with Kriging in an Epidemiological Problem
There are various methods to analyze different kinds of data sets. Spatial data is defined when data is dependent on each other based on their respective locations. Spline and Kriging are two methods ...
View Book →Projections: Predictions of Election Results and Political Broadcasting (sec. 315, Communications Ac
Committee Serial No. 90-22. Considers. S. 2128, to provide equal time for the use of broadcasting stations by candidates for public office. S. 2090, to provide broadcasting facilities to candidates fo...
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Computational Cognitive Modeling and Linguistic Theory
...
View Book →Remaining Useful Life (RUL) Prediction of electrolytic Capacitor using Artificial Intelligence
Master's Thesis from the year 2017 in the subject Computer Sciences - Artificial Intelligence, grade: 9.00, Lovely Professional University, Punjab (Lovely professional university, Punjab), course: M.T...
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Eigenvalue bounds on the pseudocodeword weight of expander codes
Four different ways of obtaining low-density parity-check codes from expander graphs are considered. For each case, lower bounds on the minimum stopping set size and the minimum pseudocodeword weight ...
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Development and application of an analog scheme for predicting the intensification of Western North
Various meteorological parameters were examined to determine their predictive value for forecasting intensity changes of Western North Pacific tropical cyclones using an analog forecast scheme. A numb...
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Predicting the outcomes of treatment to eradicate the latent reservoir for HIV-1
Massive research efforts are now underway to develop a cure for HIV infection, allowing patients to discontinue lifelong combination antiretroviral therapy (ART). New latency-reversing agents (LRAs) m...
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DTIC AD0768790: A Statistical Theory for Predicting Response of Materials That Possess a Disordered
clude the response of heterogeneous solids, the mechanics of the flow of blood, the dispersion of additives by a turbulent fluid, the scattering of waves by turbulence, by a temperature structure, etc...
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The Isophotal Structure of Early-Type Galaxies in the SDSS: Dependence on AGN Activity and Environme
We study the dependence of the isophotal shape of early-type galaxies on their absolute B-band magnitude, their dynamical mass, and their nuclear activity and environment, using an unprecedented large...
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The scientists behind Earth's processes
1 volume : 24 cm...
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Metastability in spin polarised Fermi gases and quasiparticle decays
We investigate the metastability associated with the first order transition from normal to superfluid phases in the phase diagram of two-component polarised Fermi gases.We begin by detailing the domin...
View Book →Data-Driven Prediction for Industrial Processes and Their Applications
This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case s...
View Book →Report
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Time Predictions
Understanding and Avoiding Unrealism in Project Planning and Everyday Life...
View Book →Reliability Prediction and Testing Textbook
This textbook reviews the methodologies of reliability prediction as currently used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It then...
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