Filetype
This study contributes to an increased understanding of how managers and employees perceive the change context in the field of traffic management, and what the behavioural implications are. Expectancy theory is adopted to explore how context influence the motivations of these actors. The findings reveals that motivation, being one contextual factor for change, is influenced by other contextual fac
Robo-Advisor is bringing a paradigm shift in the coming financial markets, changing the way individuals make investments. Based on algorithms and data, robo advisors helps in making informed financial decisions without human interventions. However, the enablers of robo advisors remain a grey area of research. Therefore, the presented study focused on exploring the enablers impacting robo advisor a
Most part of Iran is arid and semi-arid; thus in most parts of the region, groundwater is the only source of water. This research presents a method based on a spatial multi-criterion evaluation (SMCE) for designing possible sites of underground dams and ranks them according to their suitability. The method was tested for siting underground dams in the Alborz Province, Iran. At first, screening alg
Today, the vast majority of more than half a million cuneiform inscriptions unearthed across the Middle East are housed in museums and collections in Europe and North America. Their study and publication is confined to books, journals, and electronic resources rendered in English, French, German, Italian, and Spanish. Even the rapidly growing ecosystem of online catalogues and research platforms d
The study of fluid transport in porous media is crucial for many applications in science and engineering. From a modeling perspective, understanding how diffusion parameters behave when microstructural variations are taken into account is a significant step toward achieving more detailed and accurate model predictions. It is widely recognized that hydraulic tortuosity is typically approximated as
This research was conducted to determine which areas in the Robat Turk watershed in Iran are sensitive to gully erosion, and to define the relationship between gully erosion and geo-environmental factors by two data mining techniques, namely, Random Forest (RF) and k-Nearest Neighbors (KNN). First, 242 gully locations we determined in field surveys and mapped in ArcGIS software. Then, twelve gully
The main aim of this study was to apply and compare two GIS-based data mining models, namely support vector machine (SVM) by four kernel functions (linear-SVM, polynomial-SVM, radial basic function-SVM, and sigmoidal-SVM) and entropy models in landslide susceptibility mapping, in Shangzhou District, China. Initially, 145 landslide locations were mapped using early reports, aerial photographs, and
This chapter examines the integration of living materials into architectural design, focusing on the use of mycelium composites formed through fungal biotransformation. As architecture faces increasing demands for environmental responsibility, material innovation has turned toward biological systems capable of replacing high-impact construction materials. Mycelium, the filamentous body of fungi, o
I undertake a comparative doctrinal study of the due diligence and liability provisions of the European Union’s Corporate Sustainability Due Diligence Directive, also accounting for some of the changes and omissions proposed under the so-called “Omnibus” process to streamline the already passed directive. In relation to the due diligence provisions, my main thrust is in comparing the directive to
The main objective of the current study is to apply a random forest (RF) data-driven model and prioritization of landslide conditioning factors according to this method and its comparison to a multivariate adaptive regression spline (MARS) model for landslide susceptibility mapping in China. For this purpose, at first, landslide locations were identified by earlier reports, aerial photographs, and
One important tool for water resources management in arid and semi-arid areas is groundwater potential mapping. In this study, four data-mining models including K-nearest neighbor (KNN), linear discriminant analysis (LDA), multivariate adaptive regression splines (MARS), and quadric discriminant analysis (QDA) were used for groundwater potential mapping to get better and more accurate groundwater
Svenska Dagbladet (SvD) kulturdebatt: På Polymarket kan du satsa pengar på såväl vardagliga händelser som vår tids ödesfrågor. Det väcker tankar om hur spel påverkar demokratin.
Retail and consumption stand at a precipice, tethered to the urgency of the planetary crisis and propelled by the accelerating force of digital transformation. At this crossroads, we introduce imagined retail and consumption futures as the organising concept for this special issue on the Future of Retail and Consumption. Drawing on Jens Beckert’s theory of fictional expectations, we argue that the
As climate change alters weather risk, wealth is often treated as a buffer after shocks occur. We show that wealth can shape the economic shock before it arrives by determining which assets households own. In a pre-industrial agrarian society, we link weather to 25,000 household tax records and commodity prices. Households held different production bundles, and the same seasonal weather could rais
Standardized Care Pathway (SCP) for patients presenting with macroscopic haematuria was introduced in Sweden in 2015. In contrast to neighbouring countries, the Swedish model includes all patients with macroscopic haematuria above the age of 50, notwithstanding obvious causes. The aim of this study was to characterize the patients referred within the SCP and the presence of acute cystitis.All pati
