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This thesis was developed in partnership with SCM Group, a leading Italian manufacturer of material-cutting machinery operating an extensive international network of production sites and clients. Because of the magnitude of its operations, SCM’s technical support teams manage a large volume of support tickets-records submitted by clients on a daily bases: structured reports documenting machine fai
Metasurfaces are two-dimensional arrays of sub-wavelength structures often arranged in a periodic lattice. During recent years, metasurfaces have emerged as one of the most promising platforms to shape electromagnetic waves using compact devices, exhibiting extraordinary control over the light amplitude, polarization and phase. Starting with metallic materials, metasurface research has shifted tow
The rapid expansion of the plant-based beverage sector has increased the demand for high-performance, barista-grade oat drinks that are capable of withstanding the thermal and acidic stresses of coffee applications. This master’s thesis, conducted in collaboration with Cerealiq AB, evaluates the efficacy of six specific enzymatic treatments in modifying the structural and physical properties of oa
Human development index (HDI) is a summary measure used around the world that indicates whether a country is developed, still developing, or undeveloped. HDI incorporates the main factors of human life such as health, education and income. Deprivation in these areas of human life is measured by calculating human poverty index (HPI). The purpose of this thesis is to find the human development index
This thesis undertakes the Causality study with application to exchange rates for Swedish kronor (SEK) with GB pound (£) and US dollar ($) in the frame work of vector Autoregressive (VAR) model. We present the theory behind the Granger Causality, unit roots and vector auto-regression. The Augmented Dickey-Fuller test for unit roots is performed. Our data consist of three time series of daily forei
The study aims to explore the increasingly relevant and theoretically underexplored field of ridesharing as a solution for first and last-mile transportation, its success factors and challenges, as well as the process of integrating ridesharing into a public transport network. It utilizes a business model innovation framework as the theoretical basis to explore success factors as well as challenge
Blockchain technology has in recent years gained significant momentum in a wide variety of industries. However, in the context of SMEs the IS body of research is lacking, both in terms of why SMEs should consider this new technology and the factors that affect a potential adop-tion. To explore this research gap, the authors derived a conceptual framework from the exist-ing literature along with el
Reviews the book, The theatre of trauma: American modernist drama and the psychological struggle for the American mind by M. Cotsell (2005). The author's main thesis is that American modernist dramaturgy was mostly propelled by representations of trauma and the ensuing dissociation, contrary to the usual interpretation that it was powerfully influenced by Freudian Oedipal theory of infantile sexua
The capability of retrieving spectral information from line shapes recorded by two-tone frequency-modulation spectroscopy (TTFMS) is investigated. A TTFMS theory accounting for dispersion and nonlinear distortion of diode laser frequency modulation response is presented. The adequacy of the theory for a detailed modeling of line shapes recorded with high resolution is examined. An extensive error
A modified local error model is developed for numerical integration of ODEs with invariants. The basic idea is to use a commutativity relationship that holds for implicit state-space form methods. A new implicit state-space form predictor is developed from which error estimates can be obtained by predictor-corrector difference: This technique is demonstrated through the preliminary examples in thi
This article aims to contribute to the understanding concerning the introduction of crisis psychotherapy in the 1970s in psychiatric clinics in Sweden. The article discusses how this psychotherapy became central in the work of the clinics in supporting patients to well-being and inner growth. The ambition was that patients in an acute crisis-situation would be offered care immediately, aiming at a
Abstract in FrenchDecay-prediction models can be used to predict the service life of wooden components. However, knowledge of how the material climate, i.e. moisture content and material temperature, varies with time is required. A reliable material climate prediction model is therefore crucial in situations when measurements are not viable. The aim of this paper is to develop and assess the perfo
OBJECTIVES: To determine whether endometrial volume or power Doppler indices as measured by three-dimensional (3D) ultrasound imaging can discriminate between benign and malignant endometrium, to compare their diagnostic performance with that of endometrial thickness measurement using two-dimensional (2D) ultrasound examination, and to determine whether power Doppler indices add any diagnostic inf
High-throughput screening (HTS) three-dimensional (3D) tumor models are a promising approach for cancer drug discovery, as they more accurately replicate in vivo cell behavior than two-dimensional (2D) models. However, assessing and comparing current 3D models for drug efficacy remains essential, given the significant influence of cellular conditions on treatment response. To develop in vivo mimic
One possible solution to reduce noise resulting from tyre-pavement interaction is to use a porous pavement surface. A porous surface will reduce noise by decreasing air pressure gradients in the tyre-pavement contact as well as by decreasing the acoustical impedance of the road surface and reducing the horn effect. While reducing noise, other functional aspects of a pavement such as abrasion wear
In this research, we develop three statistical based control charts: the Hotelling's T2, MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio test) as well as three machine learning (ML) based control charts: the ANN (artificial neural network), SVR (support vector regression), and RFR (random forest regression), for monitoring generalized linear model (GLM) profil
The judgments of the European Court of Human Rights manifest a mixture of factual and legal causation, when the Court reasons whether omissions should be the basis for breach of positive obligations under the European Convention on Human Rights. However, considerations that can be generally framed as normative govern the reasoning, which implies domination of legal causation. Yet, the Court still
Aquifer classification plays a pivotal role in understanding groundwater dynamics and informing sustainable water resource management, especially in regions under significant stress from over-extraction. This study presents a novel remote sensing-based methodology for classifying aquifers represented by monitoring wells within the study area. The approach integrates stress-strain analysis, incorpo
The study is devoted to the development of the 2DCAM hardware and software complex for the physical modeling of the two-coordinate positioning system of the additional video camera of the UAV using the Simulink environment. DYNAMIXEL actuator systems were used to create a complex prototype. They combine DC motor, reduction gearhead, controller, driver and network components.The AH-12A actuator is
