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Indoor Air Borne Bacteria in Hospital Wards

Nosocomial infection (NI) is an infection acquired whilst staying, visiting or working in a hospital or healthcare facility. It is also;

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Introduction to Health Services Management

responsibilities -- of the first-level health manager in charge of a nursing unit in a hospital or other related health facility.;

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Modeling Multilevel Data in Traffic Safety

level -- Vehicle-occupant level) Time level, to establish a general form of multilevel data structure in traffic safety analysis. To model;

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Model Predictive Control

state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control;

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Multilevel Asssessment of Hierarchical Governance

include local and state variables with a time linear growth and a growth curve estimated by a Hierarchical Linear Model (HLM) and a Hierarchical;

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Model Predictive Control

assumption of a linear model of the system. However, in some cases it is difficult to represent a given process using a linear model. Model;

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Use of nuclear material accounting and control for nuclear security purposes at facilities

guidance for implementing NMAC measures for nuclear security at the nuclear facility level. It focuses on measures to mitigate the risk posed by;

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Medical Audit

review and a practical guide to successful medical audit, the collection and utilization of information for effective resource management and;

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Model Predictive Control

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic;

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Predictive Control for Spacecraft Rendezvous

This brief addresses the design of model predictive control algorithms for performing space rendezvous manoeuvres. It consolidates;

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Explanatory Model Analysis

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive;

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Explanatory Model Analysis

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive;

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Mastering Predictive Analytics with R -

Book * Grasping the major methods of predictive modeling and moving beyond black box thinking to a deeper level of understanding;

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Dynamic Therapy in Brief Hospi

present both a systematic theory for acute hospital treatment and its practical application, spelled out in great detail without lowering the high;

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Understanding the Predictive Analytics Lifecycle

A high-level, informal look at the different stages of the predictive analytics cycle Understanding the Predictive Analytics Lifecycle;

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Predictive and Optimised Life Cycle Management

, Sarja provides tools for optimal property-value protection, including a description of an integrated and predictive Life-Cycle Maintenance and;

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Predictive and Optimised Life Cycle Management

, Sarja provides tools for optimal property-value protection, including a description of an integrated and predictive Life-Cycle Maintenance and;

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Observation Medicine

for implementing observation in any setting or locale and in any type of hospital or other appropriate facility.;

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Predictive Control of Power Converters and Electrical Drives

Describes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power;

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Understanding the Impact of Human Interventions on the Hydrology of Nile Basin Headwaters, the Case of Upper Tekeze Catchments

inefficient utilization of available water resources continue to be important constraints for socio-economic development in the headwater catchments;

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Predictive Control With Constraints

Model predictive control is an indispensable part of industrial control engineering and is increasingly the method of choice for advanced;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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