Search Results - "Probability"

Field guide to the neurologic examination / by Lewis, Steven L.

Table of Contents: “…Neurologic diagnosis: general considerations -- Role of the neurologic history and examination in neurologic diagnosis -- Localization of neurologic disease -- Mechanisms of neurologic disease -- Neurologic examination -- Neurologic history -- Taking a neurologic history -- Mental status examination -- Approach to the mental status examination -- Language testing -- Memory testing -- Testing orientation, concentration, knowledge, and constructional ability -- Cranial nerve examination -- Approach to the examination of the cranial nerves -- Examination of the pupils -- Funduscopic examination -- Examination of visual acuity -- Visual field examination -- Examination of eye movements -- Examination of facial sensation -- Examination of facial strength -- Examination of jaw strength -- Examination of hearing -- Examination of palatal function -- Examination of tongue movement -- Examination of the sternocleidomastoid and trapezius muscles -- Examination of taste -- Examination of smell -- Motor examination -- Approach to the motor examination -- Examination of upper extremity muscle strength -- Examination of lower extremity muscle strength -- Examination of tone -- Sensory examination -- Approach to the sensory examination -- Examination of pinprick sensation -- Examination of vibration and position sensation -- Examination of cortical sensation -- Romberg testing -- Cerebellar examination -- Approach to the cerebellar examination -- Testing of upper extremity cerebellar function -- Testing of lower extremity cerebellar function -- Reflex examination -- Approach to reflex testing -- Examination of the muscle stretch reflexes -- Testing for the Babinski response -- Gait examination -- Examination of gait -- Putting it all together -- Performing a complete neurologic examination -- Neurologic examination in common clinical scenarios -- Tailoring the neurologic history and examination to the clinical scenario -- Examination of the comatose patient -- Examination of the patient with altered mental status -- Examination of the dizzy patient -- Examination of the patient with headache -- Examination of the patient with a movement disorder -- Examination of the patient with a radiculopathy -- Examination of the patient with transient focal neurologic symptoms -- Examination of the patient with visual symptoms -- Examination of the patient with weakness or sensory loss -- Examination of the patient with a suspected spinal cord problem -- Examination of the patient with a probable stroke -- Examination of the patient without neurologic symptoms: the screening -- Neurologic examination -- Appendix: neurologic imaging and neurophysiologic tests.…”
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Recent developments in mathematical finance International Conference on Mathematical Finance, Shanghai, China, 10-13 May 2001 /

Table of Contents: “…Liu -- Sharp Estimates of Ruin Probabilities for Insurance Models Involving Investments 72 -- J. …”
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Recent developments in mathematical finance International Conference on Mathematical Finance, Shanghai, China, 10-13 May 2001 /

Table of Contents: “…Liu -- Sharp Estimates of Ruin Probabilities for Insurance Models Involving Investments 72 -- J. …”
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Engineering decision making and risk management / by Herrmann, Jeffrey W.

Table of Contents: “…Decision Making Under Uncertainty 5.1 Types of Uncertainties 5.2 Assessing a Subjective Probability 5.3 Imprecise Probabilities 5.4 Cumulative Risk Profile and Dominance 5.5 Decision Trees: Modeling 5.6 Decision Trees: Determining Expected Values 5.7 Sequential Decision Making 5.8 Modeling Risk Aversion 5.9 Robustness 5.10 Uncertainty Propagation: Sensitivity Analysis 5.11 Uncertainty Propagation: Method of Moments 5.12 Uncertainty Propagation: Monte Carlo Simulation Exercises References 6. …”
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Engineering decision making and risk management / by Herrmann, Jeffrey W.

Table of Contents: “…Decision Making Under Uncertainty 5.1 Types of Uncertainties 5.2 Assessing a Subjective Probability 5.3 Imprecise Probabilities 5.4 Cumulative Risk Profile and Dominance 5.5 Decision Trees: Modeling 5.6 Decision Trees: Determining Expected Values 5.7 Sequential Decision Making 5.8 Modeling Risk Aversion 5.9 Robustness 5.10 Uncertainty Propagation: Sensitivity Analysis 5.11 Uncertainty Propagation: Method of Moments 5.12 Uncertainty Propagation: Monte Carlo Simulation Exercises References 6. …”
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Assessment of feigned cognitive impairment a neuropsychological perspective /

Table of Contents: “…Lees-Haley -- Malingering mild traumatic brain injury: behavioral approaches used by both malingering actors and probable malingerers / John E. Meyers --…”
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Assessment of feigned cognitive impairment a neuropsychological perspective /

Table of Contents: “…Lees-Haley -- Malingering mild traumatic brain injury: behavioral approaches used by both malingering actors and probable malingerers / John E. Meyers --…”
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Machinery prognostics and prognosis oriented maintenance management / by Yan, Jihong

Table of Contents: “…Machine generated contents note: Preface i Acknowledgements i Chapter 1 Introduction 7 1.1 Historical perspective 7 1.2 Diagnostic and prognostic system requirements 8 1.3 Need for prognostics and sustainability based maintenance management 9 1.4 Technical challenges in prognosis and sustainability based maintenance decision making 11 1.5 Data processing, prognostics and decision making 13 1.6 Sustainability based maintenance management 16 1.7 Future of prognostics based maintenance 19 References 20 Chapter 2 Data processing 21 2.1 Probability Distributions 21 2.2 Statistics on Unordered data 32 2.3 Statistics on Ordered Data 38 2.4 Technologies for incomplete data 39 References 428 Chapter 3 Signal processing 45 3.1 Introduction 45 3.2 Signal pre-processing 47 3.3 Techniques for signal processing 50 3.4 Real-time image feature extraction 72 3.5 Fusion or integration technologies 77 3.6 Statistical pattern recognition and data mining 80 3.7 Advanced technology for feature extraction 92 References 102 Chapter 4 Health monitoring and prognosis 110 4.1 Health monitoring as a concept 110 4.2 Degradation indices 111 4.3 Real-time monitoring 116 4.4 Failure prognosis 142 4.5 Physics-based prognosis models 155 4.6 Data-driven prognosis models 158 4.7 Hybrid prognosis models 162 Reference 165 Chapter 5 Prediction of residual service life 172 5.1 Formulation of problem 172 5.2 Methodology of probabilistic prediction 173 5.3 Dynamic life prediction using time series 180 5.4 Residual life prediction by crack-growth criterion 197 References 202 Chapter 6 Maintenance planning and scheduling 205 6.1 Strategic planning in maintenance 205 6.2 Maintenance scheduling 219 6.3 Scheduling techniques 232 6.4 Heuristic methodology for multi-unit system maintenance scheduling 261 References 266 Chapter 7 Prognosis incorporating maintenance decision making 270 7.1 The changing role of maintenance 270 7.2 Development of maintenance 272 7.3 Maintenance effects modeling 274 7.4 Modeling of optimization objective - maintenance cost 282 7.5 Prognosis oriented maintenance decision making 284 7.6 Maintenance decision making considering energy consumption 301 References 317 Chapter 8 Case studies 321 8.1 Improved Hilbert-Huang transform based weak signal detection methodology and its application on incipient fault diagnosis and ECG signal analysis 322 8.2 Ant colony clustering analysis based intelligent fault diagnosis method and its application to rotating machinery 329 8.3 BP Neural Networks Based Prognostic Methodology and Its Application 336 8.4 A Dynamic Multi-scale Markov Model Based Methodology for Remaining Life Prediction 343 8.5 A group technology based methodology for maintenance scheduling for hybrid shop 358 References 365 Index 369.…”
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Machinery prognostics and prognosis oriented maintenance management / by Yan, Jihong

Table of Contents: “…Machine generated contents note: Preface i Acknowledgements i Chapter 1 Introduction 7 1.1 Historical perspective 7 1.2 Diagnostic and prognostic system requirements 8 1.3 Need for prognostics and sustainability based maintenance management 9 1.4 Technical challenges in prognosis and sustainability based maintenance decision making 11 1.5 Data processing, prognostics and decision making 13 1.6 Sustainability based maintenance management 16 1.7 Future of prognostics based maintenance 19 References 20 Chapter 2 Data processing 21 2.1 Probability Distributions 21 2.2 Statistics on Unordered data 32 2.3 Statistics on Ordered Data 38 2.4 Technologies for incomplete data 39 References 428 Chapter 3 Signal processing 45 3.1 Introduction 45 3.2 Signal pre-processing 47 3.3 Techniques for signal processing 50 3.4 Real-time image feature extraction 72 3.5 Fusion or integration technologies 77 3.6 Statistical pattern recognition and data mining 80 3.7 Advanced technology for feature extraction 92 References 102 Chapter 4 Health monitoring and prognosis 110 4.1 Health monitoring as a concept 110 4.2 Degradation indices 111 4.3 Real-time monitoring 116 4.4 Failure prognosis 142 4.5 Physics-based prognosis models 155 4.6 Data-driven prognosis models 158 4.7 Hybrid prognosis models 162 Reference 165 Chapter 5 Prediction of residual service life 172 5.1 Formulation of problem 172 5.2 Methodology of probabilistic prediction 173 5.3 Dynamic life prediction using time series 180 5.4 Residual life prediction by crack-growth criterion 197 References 202 Chapter 6 Maintenance planning and scheduling 205 6.1 Strategic planning in maintenance 205 6.2 Maintenance scheduling 219 6.3 Scheduling techniques 232 6.4 Heuristic methodology for multi-unit system maintenance scheduling 261 References 266 Chapter 7 Prognosis incorporating maintenance decision making 270 7.1 The changing role of maintenance 270 7.2 Development of maintenance 272 7.3 Maintenance effects modeling 274 7.4 Modeling of optimization objective - maintenance cost 282 7.5 Prognosis oriented maintenance decision making 284 7.6 Maintenance decision making considering energy consumption 301 References 317 Chapter 8 Case studies 321 8.1 Improved Hilbert-Huang transform based weak signal detection methodology and its application on incipient fault diagnosis and ECG signal analysis 322 8.2 Ant colony clustering analysis based intelligent fault diagnosis method and its application to rotating machinery 329 8.3 BP Neural Networks Based Prognostic Methodology and Its Application 336 8.4 A Dynamic Multi-scale Markov Model Based Methodology for Remaining Life Prediction 343 8.5 A group technology based methodology for maintenance scheduling for hybrid shop 358 References 365 Index 369.…”
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Impacts of the Fukushima Nuclear Accident on Fish and Fishing Grounds

Table of Contents: “…-- 11 Radiocesium Contamination Histories of Japanese Flounder (Paralichthys olivaceus) After the 2011 Fukushima Nuclear Power Plant Accident -- Part IV Mechanisms of Severe Contamination in Fish -- 12 Evaluating the Probability of Catching Fat Greenlings (Hexagrammos otakii) Highly Contaminated with Radiocesium off the Coast of Fukushima -- 13 Analysis of the Contamination Process of the Extremely Contaminated Fat Greenling by Fukushima-Derived Radioactive Material -- 14 Contamination Levels of Radioactive Cesium in Fat Greenling Caught at the Main Port of the Fukushima Dai-ichi Nuclear Power Plant -- Part V Freshwater Systems -- 15 Comparison of Radioactive Cesium Contamination of Lake Water, Bottom Sediment, Plankton, and Freshwater Fish Among Lakes of Fukushima Prefecture, Japan, After the Fukushima Fallout -- 16 Radiocesium Concentrations and Body Size of Freshwater Fish in Lake Hayama 1 Year After the Fukushima Dai-Ichi Nuclear Power Plant Accident -- 17 Spatiotemporal Monitoring of 134Cs and 137Cs in Ayu, Plecoglossus altivelis, a Microalgae-Grazing Fish, and in Their Freshwater Habitats in Fukushima -- 18 Radiocesium Concentrations in the Muscle and Eggs of Salmonids from Lake Chuzenji, Japan, After the Fukushima Fallout -- 19 Assessment of Radiocesium Accumulation by Hatchery-Reared Salmonids After the Fukushima Nuclear Accident.…”
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Impacts of the Fukushima Nuclear Accident on Fish and Fishing Grounds

Table of Contents: “…-- 11 Radiocesium Contamination Histories of Japanese Flounder (Paralichthys olivaceus) After the 2011 Fukushima Nuclear Power Plant Accident -- Part IV Mechanisms of Severe Contamination in Fish -- 12 Evaluating the Probability of Catching Fat Greenlings (Hexagrammos otakii) Highly Contaminated with Radiocesium off the Coast of Fukushima -- 13 Analysis of the Contamination Process of the Extremely Contaminated Fat Greenling by Fukushima-Derived Radioactive Material -- 14 Contamination Levels of Radioactive Cesium in Fat Greenling Caught at the Main Port of the Fukushima Dai-ichi Nuclear Power Plant -- Part V Freshwater Systems -- 15 Comparison of Radioactive Cesium Contamination of Lake Water, Bottom Sediment, Plankton, and Freshwater Fish Among Lakes of Fukushima Prefecture, Japan, After the Fukushima Fallout -- 16 Radiocesium Concentrations and Body Size of Freshwater Fish in Lake Hayama 1 Year After the Fukushima Dai-Ichi Nuclear Power Plant Accident -- 17 Spatiotemporal Monitoring of 134Cs and 137Cs in Ayu, Plecoglossus altivelis, a Microalgae-Grazing Fish, and in Their Freshwater Habitats in Fukushima -- 18 Radiocesium Concentrations in the Muscle and Eggs of Salmonids from Lake Chuzenji, Japan, After the Fukushima Fallout -- 19 Assessment of Radiocesium Accumulation by Hatchery-Reared Salmonids After the Fukushima Nuclear Accident.…”
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The Interconnected Arctic — UArctic Congress 2016

Table of Contents: “….- Chapter 8 Hydrological probabilistic model MARCS and its application to simulate the probability density functions of multi-year maximal runoff: the Russian Arctic as a case of study -- Chapter 9 Student contribution: Assessment of Atmospheric Circulation in the Atlantic-Eurasian Region and Arctic Using Climate Indices. …”
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The Interconnected Arctic — UArctic Congress 2016

Table of Contents: “….- Chapter 8 Hydrological probabilistic model MARCS and its application to simulate the probability density functions of multi-year maximal runoff: the Russian Arctic as a case of study -- Chapter 9 Student contribution: Assessment of Atmospheric Circulation in the Atlantic-Eurasian Region and Arctic Using Climate Indices. …”
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The stochastic perturbation method for computational mechanics by Kamiński, M. M. (Marcin M.), 1969-

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The stochastic perturbation method for computational mechanics by Kamiński, M. M. (Marcin M.), 1969-

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The health care data guide learning from data for improvement / by Provost, Lloyd P.

Table of Contents: “…Use of a Run Chart.Constructing a Run Chart.Examples of Run Charts for Improvement Projects.Probability-Based Tests to Aid in Interpreting Run Charts.Special Issues in Using Run Charts.Stratification with Run Charts.The Multi-Vari Run Chart.Using the Cumulative Sum Statistic with Run Charts.4 Learning From Variation in Data.The Concept of Variation.Depicting Variation.Introduction to Shewhart Charts.Interpretation of a Shewhart Chart.Establishing and Revising Limits for Shewhart Charts.When Do We Revise Limits?…”
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The health care data guide learning from data for improvement / by Provost, Lloyd P.

Table of Contents: “…Use of a Run Chart.Constructing a Run Chart.Examples of Run Charts for Improvement Projects.Probability-Based Tests to Aid in Interpreting Run Charts.Special Issues in Using Run Charts.Stratification with Run Charts.The Multi-Vari Run Chart.Using the Cumulative Sum Statistic with Run Charts.4 Learning From Variation in Data.The Concept of Variation.Depicting Variation.Introduction to Shewhart Charts.Interpretation of a Shewhart Chart.Establishing and Revising Limits for Shewhart Charts.When Do We Revise Limits?…”
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Elements of algebraic coding systems / by Rocha, Valdemar C. da, 1947-

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Elements of algebraic coding systems / by Rocha, Valdemar C. da, 1947-

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Proceedings of the 13th International Congress on Mathematical Education ICME-13 /

Table of Contents: “…Herbst -- Topic study group no. 14 Teaching and learning of probability, Carmen Batanero, Egan J. Chernoff -- Topic study group no. 15 Teaching and learning of statistics, Dani Ben-Zvi, Gail Burrill -- Topic study group no. 16 Teaching and learning of calculus, David Bressoud, Victor Martinez-Luaces -- Topic study group no. 17 Teaching and learning of discrete mathematics, Eric W. …”
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