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Increasing the effectiveness and efficiency of production processes have always been a significant challenge, primarily because such processes often contain activities that lead to waste. In response to address these challenges, tools like Lean and Six Sigma, and over time their descendant, Lean Six Sigma (LSS) were developed. It is argued that Industry 4.0 proliferated data accessibility in the m
The purpose of this master thesis is to develop a deeper understanding of the phenomenon of managerial humor in the workplace and find out how it influences employees' commitment in contemporary organizations. This report contains qualitative research in the interpretivist tradition in the form of a single case study. Ten in-depth semi-structured interviews were conducted to gather the empiric
The overall objective of this study is to describe, analyse and suggest improvements on existing automatic exposure control systems in selected network video cameras. Since an image sensor has a limited dynamic range compared to a real scene, it is necessary to automatically control the exposure level and thus adapt to the amount of light in the scene. This can be done by adjusting parameters such
The aim of this thesis was to explore the impact of meniscal injury and meniscectomy on joint and muscle function, physical activity and perceived health in middle-age subjects and to evaluate the effect of a functional exercise program. Male and female post meniscectomy patients participated in Studies I-IV (n=45 in Studies I-III, n=99 in Study IV) and Study IV also included 94 controls. Outcome
Cambodia is preparing a scale-up of the Continuum of Care for people living with HIV with the goal of eliminating new HIV infections by 2020. To measure if Cambodia is reaching its goal it is necessary to obtain high-quality strategic information. This case study looked into how HIV Case Reporting, as one component of strategic information, facilitates the monitoring of the epidemic. Doing so, it
In this paper, we describe the conversion of three different heart transplantation data sets to a Resource Description Framework (RDF) representation and how it can be utilized to train deep learning models. These models were used to predict the outcome of patients both pre- and post-transplant and to calculate their survival time. The International Society for Heart & Lung Transplantation (IS
In recent times, there have been notable advancements in comprehending the potential anti-cancer effects of chrysin (CH), a naturally occurring flavonoid compound found abundantly in various plant sources like honey, propolis, and certain fruits and vegetables. This active compound has garnered significant attention due to its promising therapeutic qualities and minimal toxicity. CH’s ability to c
The handover (HO) procedure is one of the most critical functions in a cellular network driven by measurements of the user channel of the serving and neighboring cells. The success rate of the entire HO procedure is significantly affected by the preparation stage. As massive Multiple-Input Multiple-Output (MIMO) systems with large antenna arrays allow resolving finer details of channel behavior, w
In this paper we propose minimal solvers for relative pose estimation for two views of the projected silhouettes of two 3D cylinders. Using such line features instead of the standard point feature correspondences means more stable information (i.e. more stable to lighting condition, seasons, changes in environment etc.). Such features also lead to more compact and semantically interpretable repres
Human-induced impacts are increasing pressure on coastal ecosystems, particularly on benthic ecosystems in high-latitude regions. It has become evident that three of the greatest marine environmental challenges related to anthropogenic activity are warming, ocean acidification, and deoxygenation. The effect of these environmental changes on our uncertain future has created a need to understand the
We present part 2 of the sixth and final Data Release (DR6) of the Radial Velocity Experiment (RAVE), a magnitude-limited (9 < I < 12) spectroscopic survey of Galactic stars randomly selected in Earth's southern hemisphere. The RAVE medium-resolution spectra (R ∼ 7500) cover the Ca triplet region (8410-8795 Å) and span the complete time frame from the start of RAVE observations on 2003 April 12 to
CONTEXT: The 2 peaks of type 1 diabetes incidence occur during early childhood and puberty.OBJECTIVE: We sought to better understand the relationship between puberty, islet autoimmunity, and type 1 diabetes.METHODS: The relationships between puberty, islet autoimmunity, and progression to type 1 diabetes were investigated prospectively in children followed in The Environmental Determinants of Diab
Wintering energy management in small passerines has focused on the adaptive regulation of the daily acquisition of energy reserves within a starvation-predation trade-off framework. However, the possibility that the energetic cost of living, i.e. basal metabolic rate (BMR), is being modulated as part of the management energy strategy has been largely neglected. Here, we addressed this possibility
Obstructive sleep apnoea (OSA), characterized by recurrent periods of upper airway obstruction and intermittent hypoxaemia, is prevalent in patients with cardiovascular disease (CVD), and is therefore important to consider in the prevention and management of CVD. Observational studies indicate that OSA is a risk factor for incident hypertension, poorly controlled blood pressure, stroke, myocardial
In this paper we present methods for triangulation of infinite cylinders from image line silhouettes. We show numerically that linear estimation of a general quadric surface is inherently a badly posed problem. Instead we propose to constrain the conic section to a circle, and give algebraic constraints on the dual conic, that models this manifold. Using these constraints we derive a fast minimal
This paper develops a novel sparse direction-of-arrival (DOA) estimation technique that avoids the common requirement of hyperparameters, which are typically difficult to set suitably in practice. Using the presented minimum mean-square error (MMSE) estimation framework, we propose a computationally efficient super-resolution DOA estimator that is implemented using an alternate updating of the spa
