Experimental data

Xem 1-20 trên 144 kết quả Experimental data
  • One of the more promising processes for the energetic transformation of waste is the anaerobic digestion of the Organic Fraction of Municipal Solid Waste. An experimental campaign was carried out on three different samples of OFMSW from Waste Separation, one as received and two obtained after mechanical treatment: OFMSW slurry (liquid fraction) and OFMSW Waste. Anaerobic Biogasification Potential and anaerobic digestion tests were carried out, investigating the effects of inoculum and pH. The OFMSW Waste was also examined to evaluate the possibility to dispose of it in a landfill.

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  • Modelling methods are now well established in physical, biomedical and engineering sciences; and are widely used in assisting the interpretation of experimental data and increasingly in a predictive mode. Applications to inorganic materials are widespread, and indeed, such methods now play a major role in modelling structures, properties and reactivities of these materials.

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  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Challenges in experimental data integration within genome-scale metabolic models...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article The Effect of Cooperation on Localization Systems Using UWB Experimental Data

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  • Due to the unavoidable nonbiological variations accompanying many experiments, it is imperative to consider a way of unravelling the functional interaction structure of a cellular network (e.g. signalling cascades or gene networks) by using the qualitative information of time-series experimental data instead of computation through the measured absolute values.

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data...

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  • (BQ) Part 1 book "An introduction to chemical kinetics" has contents: Introduction, experimental procedures, the kinetic analysis of experimental data, theories of chemical reactions, potential energy surfaces.

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  • Knowledge of thermodynamic data of copolymer solutions is a necessity for industrial and laboratory processes. Furthermore, such data serve as essential tools for understanding the physical behavior of copolymer solutions, for studying intermolecular interactions, and for gaining insights into the molecular nature of mixtures. They also provide the necessary basis for any developments of theoretical thermodynamic models. Scientists and engineers in academic and industrial research need such data and will benefit from a careful collection of existing data.

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  • Data of unknown quality are useless! All laboratory measurements contain experimental error. It is necessary to determine the magnitude of the accuracy and reliability in your measurements. Then you can make a judgment about their usefulness. Replicates - two or more determinations on the same sample Example 3-1: One student measures Fe (III) concentrations six times. The results are listed below: 19.4, 19.5, 19. 6, 19.8, 20.1, 20.3 ppm (parts per million) 6 replicates = 6 measurements The "middle" or "central" value for a group of results: Mean: average or arithmetic mean ...

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  • Nowadays, there are large amounts of data available to train statistical machine translation systems. However, it is not clear whether all the training data actually help or not. A system trained on a subset of such huge bilingual corpora might outperform the use of all the bilingual data. This paper studies such issues by analysing two training data selection techniques: one based on approximating the probability of an indomain corpus; and another based on infrequent n-gram occurrence.

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  • We present a novel application of NLP and text mining to the analysis of financial documents. In particular, we describe an implemented prototype, Maytag, which combines information extraction and subject classification tools in an interactive exploratory framework. We present experimental results on their performance, as tailored to the financial domain, and some forward-looking extensions to the approach that enables users to specify classifications on the fly.

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  • In this chapter, students will be able to: Understand the nature of experiments, gain insight into requirements for proving causation, learn about the experimental setting, examine experimental validity, learn the limitations of experimentation in marketing research, compare types of experimental designs, gain insight into test marketing.

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  • We report on an experiment to track complex decision points in linguistic metadata annotation where the decision behavior of annotators is observed with an eyetracking device. As experimental conditions we investigate different forms of textual context and linguistic complexity classes relative to syntax and semantics. Our data renders evidence that annotation performance depends on the semantic and syntactic complexity of the decision points and, more interestingly, indicates that fullscale context is mostly negligible – with the exception of semantic high-complexity cases. ...

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  • Hundreds of people contributed to this book. Most of them were researchers who attended workshops and courses in which we collectively applied concepts about thinking and reasoning to the task of converting ideas and experimental data into focused articles for publication. They came from many countries and spoke many languages.

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  • This study uses what Cresswell (2003) refers to as a ‘mixed methods approach’, one that combines quantitative and qualitative data collection and a ‘sequential explanatory strategy’ in which the collection and analysis of the quantitative data is followed by the collection and analysis of the qualitative data (p 215).

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  • During the last thirty years of his life, Albert Einstein sought relentlessly for a so-called unified field theory—a theory capable of describing nature's forces within a single, all-encompassing, coherent framework. Einstein was not motivated by the things we often associate with scientific undertakings, such as trying to explain this or that piece of experimental data. Instead, he was driven by a passionate belief that the deepest understanding of the universe would reveal its truest wonder: the simplicity and power of the principles on which it is based.

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  • As currently taught, the introductory course in analytical chemistry emphasizes quantitative (and sometimes qualitative) methods of analysis coupled with a heavy dose of equilibrium chemistry. Analytical chemistry, however, is more than equilib- rium chemistry and a collection of analytical methods; it is an approach to solving chemical problems. Although discussing different methods is important, that dis- cussion should not come at the expense of other equally important topics.

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  • This book is based onmy notes fromlectures to students of electrical, elec- tronic, and computer engineering at South Bank University. It presents a first year degree/diploma course in engineering mathematics with an emphasis on important concepts, such as algebraic structure, symme- tries, linearity, and inverse problems, clearly presented in an accessible style. It encompasses the requirements, not only of students with a good maths grounding, but also of those who, with enthusiasm and motiva- tion, can make up the necessary knowledge.

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  • Grid Networks describes the convergence of advanced networking technologies and Grid technologies, with special focus on their symbiotic relationship and the resulting new opportunities. Grid technology is applicable to many implementations, Computational Grids, Data Grids, Service Grids, and Instrumentation Grids. The authors cover a breadth of topics including recent research, featuring both theoretical concepts and empirical results. Beginning with an overview of Grid technologies, an analysis of distinguishing use cases and architectural attributes, and emerging standards.

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  • From the early 1970s to mid-1990s, positron emission tomography (PET) as a diagnostic imaging modality had been for the most part used in experimental research. Clinical PET started only a decade ago. 82Rb-RbCl and 18F-Fluorodeoxyglucose were approved by the U.S. Food and Drug administration in 1989 and 1994, respectively, for clinical PET imaging. Reimbursement by Medicare was approved in 1995 for 82Rb-PET myocardial perfusion imaging and for 18F-FDG PET for various oncologic indications in 1999. Currently several more PET procedures are covered for reimbursement....

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