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Testing the crowd:it model for building fire evacuation scenarios

Evacuation models can be reliably used if they are sufficiently validated for the application in question (e.g. Fire Safety Engineering). To be useful, an evacuation model should therefore be an accurate enough representation of the real-world behaviour of evacuees. The scope of this work was to determine how accurately the model crowd:it (making use of the Optimal Steps Model) provides a represen

Smart cities at the intersection of public governance paradigms for sustainability

As a research domain, the smart city keeps growing, despite the remaining contradictions and ambiguity related to its conceptual aspects. We propose to dig deeper into the complex socio-technical nature of the smart city and examine the concept through the lens of different public governance paradigms, therefore aligning it with the sustainability outcomes. Embracing interrelated dimensions of hum

Neural Network Based Algorithm to Estimate the Axial Capacity of Corroded RC Columns

Columns are the important structural elements to transfer the superstructures load to the foundation. Deterioration and degradation of the structural elements is the critical issue facing by the entire world. Corrosion is one of the most common cause responsible for the deterioration. To maintain structural safety as well as serviceability, it is important to estimate the residual capacity of the

Smart cities as collaborative innovation projects

This paper presents initial research within a broader discourse about smart cities. Despite the existence of various discussions about the concept many questions are still opened. We bridge the gap by investigating the role of local governments and their initiatives to integrate new technologies in a city context. The study aims to investigate the adoption of technological innovation in smart citi

Effect of wavelet filters on SFQ encoder performance for medical images

This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies

Performance monitoring of kaplan turbine based hydropower plant under variable operating conditions using machine learning approach

Silt is the leading cause of the erosion of the turbine's underwater components during hydropower generation. This erosion subsequently decreases the machine's efficiency. The present study aims to develop statistical correlations for predicting the efficiency of a hydropower plant based on the Kaplan turbine. Historical data from a Kaplan turbine-based hydropower plant was employed to create the

ML-Based Computational Model to Estimate the Compressive Strength of Sustainable Concrete Integrating Silica Fume and Steel Fibers

Concrete is one of the most commonly used construction material on the earth after water. The compressive strength of concrete is an important parameter and is considered in all structural designs. Production of the cement is directly proportional to carbon emissions. The cement content in the concrete can be partially replaced with waste materials like steel fibers, silica fumes, etc. Calculating

Are UN SDGs useful for capturing multiple values of smart city?

The concept of smart city has been studied in a variety of forms and contexts. While previous studies highlight the extensive use of indicators of smartness, another stream of literature advocates the role of citizens in city transformations. In this viewpoint, we call for an extension of this dichotomous understanding and highlight the cross-sectoral collaborative nature of smart city; we also dr

Interactive accountability in the case of digital governance

This chapter provides an examination of the interactive nature of public accountability that has emerged as a result of technology implementation. The ongoing discussion in the field of digital governance lays the foundation for outlining the complex accountability relationships that exist among multiple actors in a digital environment. Building upon the stakeholder research tradition, the chapter

People's conceptual environmental appraisals of urban space in daylight and electric light

Urban spaces should be resilient, inclusive and safe for all residents including children, elderly and vulnerable groups. This implies that urban planning, management and design should provide public spaces that support human needs of active mobility, social interaction and psychological restoration across seasonal and diurnal variation in natural light. Environmental psychology postulates that an

Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau : Exploratory and Validation Cohort Study

divided the data set temporally, assessing the persistence of identified subgroups over different periods. The reassessment of mortality risk used the targeted maximum likelihood estimation (TMLE) method to achieve more robust causal modeling. Results: We analyzed data from 21,005 children. The mortality risk (6 weeks to 3 years of age) was 5.2% (95% CI 4.8%-5.6%) for children born between 2003 an

Storytelling to Learn: What happens underwater, stays underwater.

This research uniquely addresses the underexplored area of storytelling as a medium for learning and safety in sports diving, a high-risk discretionary activity. It achieves this by utilising a comprehensive mixed-method approach, that incorporates online surveys, focus groups, and interviews to gather perspectives from a wide range of stakeholders in the diving community. The informants were dive

The Stories of User Flexibility : An Exploration of Flexibility Capital for a Just Energy Transition

The pending ecological crisis has ushered in a need to rethink how electricity is produced and consumed, which in turn will require new ways of maintaining system balance. One solution that has gained traction over the past decade is the idea of user flexibility. User flexibility is by some deemed integral to the transition towards a low-carbon society and to the decarbonization agenda, and its inThe pending ecological crisis has ushered in a need to rethink how electricity is produced andconsumed, which in turn will require new ways of maintaining system balance. One solution that hasgained traction over the past decade is the idea of user flexibility. User flexibility is by some deemedintegral to the transition towards a low-carbon society and to the decarbonization agenda, and itsintegr

Glocalizing sustainability : how accounting begins for sustainable development goals in city administration

Purpose: This study aims to investigate the adoption of the United Nations’ Sustainable Development Goals (SDGs) as the new performance perspective in cities. It also aims to understand how accounting for SDGs begins in city administrations by following Power’s (2015) fourfold development schema composed of policy object formation, object elaboration, activity orchestration and practice stabilizat

Unravelling the mechanisms of CE-SSFP in imaging myocardium at risk : The effect of relaxation times on myocardial contrast

Purpose: The aim of this study was to investigate the contrast mechanisms of Contrast-enhanced steady-state free-precession (CE-SSFP) through the utilization of Bloch simulations in an experimental porcine model and in patients with acute myocardial infarction. Methods: Six pigs and ten patients with myocardial infarction underwent CMR and tissue characterization at 1.5 T whereas a Bloch simulatio

Familial clustering of unexplained heart failure – A Danish nationwide cohort study

Aims: To determine whether a family history of unexplained heart failure (HF) in first-degree relatives (children or sibling) increases the rate of unexplained HF. Methods and results: Using Danish nationwide registry data (1978–2017), we identified patients (probands) diagnosed with first unexplained HF (HF without any known comorbidities) in Denmark, and their first-degree relatives. All first-d

Low-Protein Infant Formula Enriched with Alpha-Lactalbumin during Early Infancy May Reduce Insulin Resistance at 12 Months : A Follow-Up of a Randomized Controlled Trial

High protein intake during infancy results in accelerated early weight gain and potentially later obesity. The aim of this follow-up study at 12 months was to evaluate if modified low-protein formulas fed during early infancy have long-term effects on growth and metabolism. In a double-blinded RCT, the ALFoNS study, 245 healthy-term infants received low-protein formulas with either alpha-lactalbum

A Microlevel Analysis of Danish Dairy Cooperatives: Opportunities for Large Data in Business History

We contribute to the argument for a “new” business history employing a quantitative approach. We illustrate opportunities for new perspectives from this approach using a novel microlevel longitudinal database comprising 131 variables for 1,419 cooperative creameries in Denmark for the period 1898–1945, which we also document and make available to the scholarly community. We present a number of app

Navigating Language and Terminology in Automatic Control Literature

Much of our understanding of automatic control relies on descriptions and words. While rooted in mathematical theory, control is generally explained using examples and abstraction. Different terminology is used in different textbooks which can lead to inadvertent miscommunication. Here, the terminology introduced in the most frequently used textbooks is collated. The paper addresses lecturers, stu