Set Of Measured Variables Research Articles

Using Bayes Chart to control the qualitative characteristics of newborns

In this study, we will deal with a set of measurable variables (properties) in the quality control charts in this study. There are many qualities whose quality cannot be determined by a single variable, but by a combination of variables that collectively describe the quality of the unit under consideration. Because abnormal children account for a specific number of newly born children, it is necessary to investigate measurement rates for newborn children in order to understand the child's health, which is the foundation of society's health. As a result, the purpose of this study is to create a control chart that uses Bayes statistics, specifically a Bayes chart for qualitatives . We will utilize the values of the final distribution in this chart because it incorporates all of the information accessible during the decision-making process. In this research, a Bayes chart for the (Bnp) number is used to determine the quality of the examined unit. The unit examined in our research represents this newborn child. The research includes how to use the Bayes Theorem to find Bayes estimators for the parameters of the binomial distribution. The study of the control Chart (nP-Chart) uses Bayesian method, including five variables that represent the measurements of newborns, namely (weight, length, head circumference, chest circumference, arm circumference), where these measurements are recorded for (100) cases (child) randomly in Ibn Al-Baladi Hospital in Baghdad for the year (2017) and these observations are divided into (20) samples (set), and the set includes (5) views and these views consist of (52) males , (48) females. We find that predicting the final distribution of any number of observations is the mainstay in building a Bayes chart and making decisions about the progress of the process.

Factors That Contribute to Changes in Local or Municipal GHG Emissions: A Framework Derived from a Systematic Literature Review

The changes observed in a municipal or local energy system over a period of time is due a number of concurrent dynamics such as the local social and economic trends, higher-level policies (e.g., national), and the local policies. Thus, a thorough identification and characterization of the many factors of change is key for an adequate assessment of the effectiveness of policies adopted at the local level, as well as for future planning. Such thorough identification and characterization of the factors that are determinant for the evolution of the local energy system is the content of this paper. The identification is performed through a systematic literature review, followed by a synthesis process. The factors identified are grouped into the categories of local context, local socio-economic and cultural evolution, higher-level governance framework, and local climate change mitigation actions. They are represented through a set of measurable variables. The factors and respective variables can be used to improve the disaggregation of changes in the local energy system into individual causes, leading to a better assessment of the evolution over time.

Quantifying dimensions of Transportation Diversity: A City-Based Comparative Approach

Abstract Urban population growth has been increasing all over the world primarily due to more economic opportunities in cities than in rural areas but generally without a corresponding upgradation of urban transport infrastructure. However, the diverse groups of city dwellers have different transport needs but transport options in the city are often not so diverse. As a result, the transport system in cities around the world is facing challenges such as congestion, pollution, traffic injuries and fatalities, and lack of equity. It is the argument of this paper that the diverse population of cities of 21st century requires diverse forms of transportation to cater the diverse needs for urban mobility. This paper makes an attempt to quantify diversity through a set of measurable variables by performing exploratory factor analysis on data extracted from an international sample of 51 cities (differing in urban and demographic characteristics). The study seeks to identify factors underlying the concept, and is to the best of our knowledge the first such attempt to quantify transportation diversity using the city based comparative approach. EFA was performed to extract factors characterizing transportation diversity from the dataset. The three factors are extracted from the EFA and the association among the variables is examined in light of the theoretical framework of the study. Theoretical expectations such as the nature of association among indicators such as quality transit and non-motorized infrastructure, innovative policies for promoting active modes, and extent of auto use are confirmed in the study's findings.

Measuring the value and sustainability of internet-based ICTs in healthcare organisations

This paper deals with technology assessment of internet-based Information and Communication Technologies (ICTs) in Healthcare Organisations (HCOs). The authors formalise an original framework that support decision making and resource allocation. The framework takes into account the recent contributions in the literature and it has been tailored to RIS-PACS systems, even if its design is generalisable to other healthcare ICTs. Two main concepts have been deployed: the 'value' of an ICT investment for a HCO and the level of 'sustainability' of this investment. Each concept has been operationalised in a set of measurable variables, allowing healthcare managers to place an internet-based ICT investment in a decisional space. Ad hoc selection criteria are suggested. Empirical data were gathered from an in detail case study on an Italian teaching HCO.