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Summary: Purpose: The aim of this Master’s Thesis is to create a procedure for internal project audits. This involves the creation of an instrument for measurement and a prescription for how to transfer learnings to other projects. The end goal is to enhance organisational learning and through that create Total Quality in the management of projects. Methodology: Deductive, qualitative case study w
Problem Investigation of the correlation of the business platform theoretical stance with existing external relevant theories and models and the practical applicability, tangibility and portrayal ability of the model on entrepreneurial ventures. Purpose The purpose of this thesis is to, through analysis of the areas comprising the business platform, validate that the business platform can be conne
Title: Configuring the storage and return flow processes of reusable packaging for battery cells: A design science study of a global battery cell manufacturer Author: Linnea Sjöberg Supervisor: Joakim Kembro, Division of Engineering Logistics, Faculty of Engineering, Lund University. Problem Description: As reusable packaging is becoming increasingly popular, the already existing warehouses need t
The aim of this report is to investigate the possibilities of an automated process which will identify and separate worn out granules and thus ensure an optimum cleaning performance. Research shows that some users are not following the recommendations regarding when to change Granules, leading to reduced performance and a reduction in sales. The first phase of the project involves studying how th
This thesis investigates the role states play in promoting and directing a country’s development. More specifically, it is examined, which factors determine differences in state performance and why different types of states form. This is done through a comparative case study of Botswana and Zambia, two southern African countries that after a similar start into independence developed very different
Syfte Corporate Social Responsibility (CSR) är ett begrepp som används flitigt inom det svenska näringslivet. Forskningen inom ämnet är dock inte lika omfattande och därför anser jag att det finns ett behov att ge diskussionen ett svenskt perspektiv. Syftet med föreliggande arbete är att beskriva CSR med hjälp av kommunikationsvetenskapliga faktorer, för att ge en vidare förståelse av begreppet. F
Under de senaste årtiondena har en ökning av psykosociala problem bland barn och ungdomar medfört att förebyggande och hälsofrämjande vård blivit det viktigaste inslaget i elevhälsan. Hälsosamtal är en del av skolsköterskans hälsofrämjande arbete. Syftet med studien var att beskriva hur skolsköterskan utifrån sina erfarenheter uppfattar hälsosamtal med elever i grundskolan. Semistrukturerade inter
Integrating low-power wearable systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables make it possible to target complex scenarios by exploiting multiple biosignals and using high-performance algorithms, such as Deep Neural Networks (DNNs). However, there is a tradeoff between the algorithms' performance and the low-power requir
Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving “assertions” in software testing. Based on a term-based search, we filtered the inclusion of relevant papers and synthesised them with respect to the problem address
We consider the averaging process on an infinite connected graph with bounded degree and independent, identically distributed starting values or initial opinions. Assuming that the law of the initial opinion of a vertex has a finite second moment, we show that the opinions of all vertices converge in L2 to the first moment of the law of the initial opinions. A key tool in the proof is the Sharing
Purpose: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial data from North American men with localized prostate cancer treated with definitive radiation, using biopsy digital pathology images and key clinical information (age, PSA, and T-stage) to generate prognostic scores. This study externally validates the biomarker in a prospective, real-world dataset of
Traditional mechanical methods for the recycling of polyethylene terephthalate (PET) fail to produce high-quality materials suitable for upcycling. Alternatives like chemical recycling face challenges due to the high energy demands, concerns, and the cost of specialized equipment. Enzymatic recycling has emerged as a promising alternative, offering a simple process under environmentally friendly c
Elite athletes in entrepreneurship is an emergent field of research with scholars showing advantageous entrepreneurial traits in the athletes and a good job-fit between athletes and entrepreneurship. However, current literature presents a fragmented view, often examining characteristics in isolation, and failing to show the process of how elite athletes become entrepreneurs. Hence, this study seek
Introduction: Alcohol use has significant health implications, yet the association between alcohol use and respiratory symptoms remains relatively understudied. This study examines the prevalence of hazardous alcohol use and its associations with breathlessness, chronic cough, and health-related quality of life (HRQoL) and whether these associations with chronic airway limitation (CAL) differ by a
We explore vibe coding as a rapid prototyping approach powered by generative AI. We discuss how it lowers the barrier to creating high-fidelity prototypes, enabling nontechnical users to build apps, and examine its implications for communication, validation, and iterative software design.
The integration of machine learning (ML) into software operations (MLOps) has significantly increased the demand for data to train and test models, making data sharing and reuse essential to mitigate the high costs of data collection and preprocessing. This study aims to advance the understanding of data sharing within an MLOps context by examining the establishment and governance of a data ecosys
This study explores the integration of Large Language Model (LLM) and Information Retrieval (IR) components to enable filtered search over multimodal structured data. We identify core integration challenges and introduce a conceptual framework based on two paradigms: filtered retrieval and filtered re-ranking. With the focus on the latter, we employ RT-3 rank transformation to dynamically adjust t
