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Data, model specification and shock identification

Specification for the migration of legacy data to the Data Futures data model.

Specification for the migration of legacy data to the Data Futures data model.

... the specification for the migration of legacy data into the Data Futures Student entity and its Disability and NationalIndentity ...legacy data submitted against the CXX051/54 collections into ...
Specification for the migration of legacy data to the Data Futures data model.

Specification for the migration of legacy data to the Data Futures data model.

... migrated data for the Student record, each Module associated to an Engagement can have at most two Module instances associated to it (corresponding to at most two Student course ...
AASHTO Specification for Shock Transmission Units

AASHTO Specification for Shock Transmission Units

... 32.3.3 Packaging, Handling, and Storage Prior to shipment from the point of manufacture, STUs shall be packaged in such a manner to ensure that during shipment and storage, the STUs will be protected against damage from ...

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Automated identification of sensitive data from implicit user specification

Automated identification of sensitive data from implicit user specification

... sensitive data protection and taint analysis in mobile and web ...sensitive data in existing work requires much manual ...manual identification of sensitive data cannot guarantee the accu- ...

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META-DATA SPECIFICATION FOR THE DESCRIPTION OF SOCIAL SCIENCE DATA RESOURCES CESSDA METADATA MODEL

META-DATA SPECIFICATION FOR THE DESCRIPTION OF SOCIAL SCIENCE DATA RESOURCES CESSDA METADATA MODEL

... Keywords: Metadata, Metadata Scheme, Social Sciences, CESSDA Metadata Model, Data. INTRODUCTION We are witnessing a digital revolution that has caused a flood of in- formation. In the last 20 years, a ...

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MODEL SCHEDULING SPECIFICATION

MODEL SCHEDULING SPECIFICATION

... documents to describe all of the documents that make up the agreement between the parties to the contract. You may be using a different term or phrase (“plans and specifications,” for example) to describe the same thing. ...

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Econometrics: Model Specification

Econometrics: Model Specification

... full model is considered? This is actually a tough question and the answer is not ...book-to-market model is correct and actually generated the data, we would add insignificant variables to the ...
A. Physical Model of Shock Absorber

A. Physical Model of Shock Absorber

... automotive shock absorber. The front shock absorber on a Mazda CX-7 was tested on the single-post shaker test ...The shock absorber piston velocity test range is between ...Three shock ...

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Internal shock model for microquasars

Internal shock model for microquasars

... 5.1.2. Data used in the modeling In the continuous jet model for microquasars outlined above, only one shock is thought to travel outwards in each ...observational data from ob- serving epochs ...

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Microeconometric Dynamic Panel Data Methods: Model Specification and Selection Issues

Microeconometric Dynamic Panel Data Methods: Model Specification and Selection Issues

... the model after taking …rst-di¤erences in order to remove time-constant unobserved individual e¤ects, it is useless to include in the model any variables which are systematically time-constant for each unit ...

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Microeconometric Dynamic Panel Data Methods: Model Specification and Selection Issues

Microeconometric Dynamic Panel Data Methods: Model Specification and Selection Issues

... the model after taking …rst-di¤erences in order to remove time-constant unobserved individual e¤ects, it is useless to include in the model any variables which are systematically time-constant for each unit ...

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Microeconometric Dynamic Panel Data Methods: Model Specification and Selection Issues

Microeconometric Dynamic Panel Data Methods: Model Specification and Selection Issues

... the model and/or instru- ment ...the model by including extra lags of that variable as regressor in the ...satisfactory model with constant coe¢ cients by seeking a more homogeneous subsample, either ...

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Platform Level Data Model (PLDM) for Platform Monitoring and Control Specification

Platform Level Data Model (PLDM) for Platform Monitoring and Control Specification

... "System" as the containerID identifies an effecter for overall system power control. By Semantic ID The state sets or units definitions and entity associations alone are not sufficient to identify the semantic of ...

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On the identification of a Pliocene time slice for data-model comparison

On the identification of a Pliocene time slice for data-model comparison

... — selection of a time slice that is at or close to CO 2 estimates from proxy records, to better constrain the range of CO 2 values that should be imposed within climate models. A careful examination of orbital parameters ...

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Mortality Prediction Model of Septic Shock Patients Based on Routinely Recorded Data

Mortality Prediction Model of Septic Shock Patients Based on Routinely Recorded Data

... septic shock patients and the second composed of 73 septic subjects selected from the public database ...after shock onset and we performed univariate and multivariate analyses to predict mortality in the ...

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ercol recover PRICE GUIDE March MODEL IDENTIFICATION AND SPECIFICATION FOR COMPLETE CUSHION AND WEB REPLACEMENT

ercol recover PRICE GUIDE March MODEL IDENTIFICATION AND SPECIFICATION FOR COMPLETE CUSHION AND WEB REPLACEMENT

... level of comfort and support. A choice of cushion finish, piped, plain seamed, or top stitched, are available on some ranges; please see details on the relevant pages. Prices include scatter cushions as indicated in the ...

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On the Sensitivity of Return to Schooling Estimates to Estimation Methods, Model Specification, and Influential Outliers If Identification Is Weak

On the Sensitivity of Return to Schooling Estimates to Estimation Methods, Model Specification, and Influential Outliers If Identification Is Weak

... We provide a comparison of return to schooling estimates based on an influential study by Angrist and Krueger (1991) using two stage least squares (TSLS), limited information maximum l[r] ...

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Model estimation, identification and inference for next-generation functional data and spatial data

Model estimation, identification and inference for next-generation functional data and spatial data

... To study the performance of our proposed method with different initial weights, we consider three estimates: K-means + Alasso, SSLS + Alasso, and Lasso + Alasso.. See Table 4.1 for the d[r] ...

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Common Data Model (CDM) Specification, Version Table of Contents Table of Contents

Common Data Model (CDM) Specification, Version Table of Contents Table of Contents

... stakeholders to determine the best ways to incorporate PROs and other pertinent patient-reported information, and to include those in subsequent releases of the CDM. 2.6. Comments on Protected Health Information (PHI) ...

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Morbidity and pollution: model specification analysis for time series data on hospital admissions

Morbidity and pollution: model specification analysis for time series data on hospital admissions

... To more carefully examine nonlinear and synergistic effects of proportionate changes in pollutant levels on the percentage change in TCR admissions, consider the c[r] ...

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