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Path analysis is a widely used multivariate technique to construct conceptual models of psychological, cognitive, and behavioral phenomena. Although causation cannot be inferred by using this technique, researchers utilize path analysis to portray possible causal linkages between observable constructs in order to better understand the processes and mechanisms behind a given phenomenon. The objectives of this tutorial are to provide an overview of path analysis, step-by-step instructions for conducting path analysis in Mplus, and guidelines and tools for researchers to construct and evaluate path models in their respective fields of study. These objectives will be met by using data to generate a conceptual model of the psychological, cognitive, and behavioral antecedents of bulimic symptoms in a sample of young adults.

Many European buildings require renovation, often involving window replacements and improved airtightness, leading to increased mold risk and indoor air quality (IAQ) issues. Solutions include adjustable air inlets with mechanical exhaust or balanced heat recovery ventilation. Using building performance simulations, we studied control strategies for renovated apartment building with natural or mechanical ventilation. CO2 - controlled air inlets proved most effective for IAQ and energy reduction. In different apartment positions, air inlet performance varied based on available stack effect. Mechanical exhaust cases were less affected by airtightness changes. Altogether, the mechanical ventilation was more robust, but all strategies were sensitive to closed doors.

The optimization of control sequences in air handling units (AHUs) presents a significant opportunity for energy savings within HVAC systems. However, many building owners and operators require quantifiable estimates of potential energy savings before committing to retrofitting control systems. Valid estimates of energy savings require system models that consider capacity and limitations of the AHU, but in existing systems, scarce information hinders such modeling efforts. This lack of information complicates AHU modeling and the assessment of alternative control strategies. This paper demonstrates an approach that leverages time-series data from a newly constructed Danish AHU, equipped with multiple sensors for temperature, flow, and pressure, to construct a grey-box model of the unit, including component properties. The estimated parameters for the components are validated against data sheet information, and shows that the estimation procedure is accurate for parameter estimation. To analyze the energy-efficiency of the cooling coil, the model is used to estimate the latent cooling in the cooling coil, as Danish conditions rarely require dehumidification of supply air.

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The Pivot Nurse in Oncology (PNO) is a health care professional dedicated to providing patients with cancer and their families with continuing and consistent supportive care throughout the care trajectory. The purpose of this paper is to describe the variation and frequency of nursing interventions delivered by 12 PNOs at our health centre. An administrative analysis over a three-year period revealed a total of 43,906 interventions that were grouped into 10 categories. This analysis provided a description of the intervention frequency and these interventions were further collapsed into the four role functions of the PNO. Coordination/continuity of care and the assessment of needs and symptoms were identified as the dominant practice domains of the PNO in the professional cancer navigator role.