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Utilizing the Double Machine Learning (DML) framework with both Partially Linear Regression (PLR) and Interactive Regression Models (IRM), this study examined the crucial role of parental education in the early detection of Autism Spectrum Disorder (ASD). Analysis was conducted on comprehensive data from the National Survey of Children's Health spanning the years 2017 to 2021. A significant ne
As for now, there is a need for more information and understanding about how variations in 316L steel affect the deformation of sheet steel to produce steel pieces. Therefore, this project aims to present the material's variation regarding chemical composition, mechanical properties and coil dimensions. Furthermore, experiments are conducted to evaluate the quality of deformed steel pieces and
The aim of this study was to investigate The Salvation Army's work with human trafficking for sexual purposes since it is a specialized organization in civil society that has a long history of working with this issue. Research shows that overall, the Swedish agencies neither have the competence, nor the knowledge, needed to meet the issue. We, as coming social workers wanted to investigate wha
Information and communication technology has emerged significantly over the past two decades. The ever-growing trade and monetization of digital encounters are likely to extend technology even more in the upcoming decades. Recent technological developments have brought various advantages worldwide, such as effective communication, increased production, and artificial intelligence, which can solve
The purpose of this thesis is to investigate the techniques that scammers and scambaiters use in phone conversations to deceive each other and accomplish their respective goals. Seeing how the number of people losing money to scams continues to rise every year, there is an urgent need for more research to raise awareness of common scam tactics. It is also highly sociologically relevant to gain an
In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. We investigate whether utilization of DensePose can enhance performance on re-ID algorithms with the utilization of
The recycling of plastic has the potential to support circular material use, thus decreasing the need for virgin plastics. However, there is an existing issue with assuring quality of recycled plastic materials, causing finished products to perform with poorer properties and unexpected deviations. Based on a thermoformed plastic packaging product, Product Y, made of recycled high density polyethyl
The recycling of plastic has the potential to support circular material use, thus decreasing the need for virgin plastics. However, there is an existing issue with assuring quality of recycled plastic materials, causing finished products to perform with poorer properties and unexpected deviations. Based on a thermoformed plastic packaging product, Product Y, made of recycled high density polyethyl
Following the Paris agreement of 2015, the latest reports of the IPCC, exacerbated by the lingering impacts of the Covid crisis and the recent war of aggression of Russia on Ukraine, the European Union is proposing an ambitious set of rules and regulations aimed at making Europe the first climate neutral continent by 2050. As a part of this so-called European Green Deal, the Fit for 55 package was
När vi tittar ut i universum ser vi bara materia, även fast vi vet att antimateria finns. Enligt teorin borde antimateria, som är precis som vanlig materia fast med motsatt laddning, producerats i lika stora mängder vid Big Bang. Partikelacceleratorn LHC i Schweiz genererar lika mycket materia och antimateria i partikelkollisioner som påminner om de som skedde i samband med Big Bang. Så det skulleThis thesis investigates the properties of a general scale-invariant Two-Higgs-Doublet Model and its phenomenological consequences with focus on the scalar sector. The concept suggests that introducing more CP-violation, both spontaneous and explicit, may make it possible to meet the Sakharov conditions and account for the Universe's baryon asymmetry. We define a modified renormalization schem
The purpose of this study is to see what kind of support in school is linked to secondary school eligibility in primary compulsory school and parent satisfaction. The questions this study aims to answer were: (1) What type of support was reported by parents? (2) What connection can be found between the type of support and secondary school eligibility? (3) What connection can be found between the t
Stress within the venture creation is a fundamental part of the entrepreneurial journey, if not handled properly, it will have a detrimental impact on entrepreneurial success. Stress coping mechanisms are a well renowned tool to reduce a stressor. Furthermore, life partners play a tremendous role in the life of an entrepreneur, either being supportive or straining. Yet, their influence is underexp
This thesis explores the UTVs (Utility Terrain Vehicle) transition from internal combustion engines to electric drive and how the shift will impact Atlas Copco as an assembly tool manufacturer. Research is conducted based on a mixed-method approach, using both semi-structured interviews with key manufacturers and Atlas Copco sales engineers, as well as a multiple case study at manufacturing plants
With an ever-increasing human ecological footprint, the United Nations Sustainable Development Goals require global collaboration in terms of sustainable business practices to combat global ecological issues. Our study examines the complex relationship between eco-innovation, CO2 emissions, and financial performance using fixed effects panel data regression. While R&D is positively correlated
The bachelor’s thesis research focuses on Robotic Process Automation (RPA). The purpose was to explore the opportunities and challenges of the applications of RPA software in conglomerate organizations from the perspective of RPA practitioners. A qualitative study was conducted where the empirical data were collected through semi-structured interviews with five purposively selected RPA practitione
Syfte Uppsatsens syfte var att undersöka om och i så fall hur sångintervention i klassrummet ger effekter på den språkliga förmågan, närmare bestämt på förståelse och produktion av berättelser, hos elever i årskurs 2. Metod Deltagare i studien var 66 elever i årskurs 2 från två olika skolor, fördelade på två grupper A och B. Sångintervention gavs fyra gånger i veckan i 5 veckor och data samlades iPurpose The aim of this paper was to investigate if and how song intervention in the classroom has an effect on narrative comprehension and production in Primary school students (2nd grade). Method Sixty-six 2nd grade students from two different schools, divided into two groups, A and B, participated. Song intervention was carried out four times a week for five weeks. Data was collected at three t
Begreppet visselblåsare benämner en person som avslöjar missförhållanden i myndigheter, företag eller samhället i övrigt. I arbetslivet är visselblåsning särskilt viktigt eftersom visselblåsaren ofta avslöjar viktig information som allmänheten inte har tillgång till. Trots det har studier visat att arbetstagare som får kännedom om missförhållanden ofta avstår från att slå larm. Regeringen antog EUThe term "whistleblower" refers to an individual who discloses wrongdoing in authorities, companies, or society in general. Whistleblowing holds significant importance in the workplace as it frequently unveils vital information inaccessible to the general public. However, studies have shown that employees who become aware of misconduct frequently choose not to report it. The EU-directive
For a long time, Sweden remained reluctant to condition citizenship attainment. In recent years, an upsurge of political representatives have embraced a requirement-based approach to naturalization as a means to promote integration. By drawing upon theories from Critical Language Testing, Standard Language Ideology, Critical Discourse Analysis, together with the methodological framework of Norman
Artificial intelligence (AI) within healthcare creates opportunities to save more human lives regarding the prevention and prediction of diseases. This thesis has its main focus on the proposed AI Act and in what way the proposed AI Act promotes innovation and ensures privacy concerning the collection of patient data for the prevention and prediction of diseases. Furthermore, is there a balance be
