Search results

Filter

Filetype

Your search for "*" yielded 528416 hits

Mobilanvändning och allmänt mående bland gymnasieelever

Denna studie syftar till att undersöka sambandet mellan hög mobiltelefonanvändning och allmänt mående bland gymnasieelever. Med stöd från två välgrundade teorier: självregleringsteorin och sociala inlärningsteorin, har studien presenterat intressanta korrelationer och samband kring mobilanvändning och allmänt mående. Studien är uppdelad i två olika studier, en kvantitativ och en kvalitativ. KvantiThis study aims to investigate the relationship between high mobile phone use and general well being among high school students. With support from two well-founded theories: the self-regulation theory and the social learning theory, the study has presented interesting correlations and connections around mobile phone use and general ill-health. The study is divided into two studies, one quantitativ

Exploring AI in Swedish E-commerce: A Qualitative Study on Factors Influencing AI Implementation and its Challenges

Denna kandidatuppsats fokuserar på införandet av AI inom e-handel i Sverige. En kvalitativ metod antogs genom att intervjua yrkesverksamma som arbetar inom e-handelssektorn. Resultaten presenterades med hjälp av TOE-ramverket. Denna studie syftar till att få insikter i hur e-handelsföretag använder AI-teknik och vilka utmaningar de stöter på. Därmed bidrar denna avhandling till forskningen genom aThis thesis focuses on the adoption of AI within e-commerce in Sweden. A qualitative approach was adopted, interviewing professionals working in the e-commerce sector. Results were presented using the Technology-Organization-Environment (TOE) framework. This study aims to gain insights into how e-commerce companies adopt AI technologies and the challenges they encounter. Thus, this thesis contribu

A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services

This thesis focuses on predicting the usage efficiency of e-scooters through the application of a Spatio-Temporal Graph Neural Network (STGNN). The predictions made by the STGNN will be compared with classical machine learning (ML) methods, including Random Forest (RF), Artificial Neural Network (ANN), and Linear Regression (LR). To facilitate the prediction of usage efficiency, the Time to Bookin

Towards a Green Workforce: Assessing Green Job Preparation in Panamanian and Costa Rican Universities

The triple planetary crisis exerts high pressure on countries to transform their current economic system. The transition to a green economy is not only necessary to ensure sustainable development but also essential for countries to remain economically competitive. The neighbouring countries Panama and Costa Rica are both facing significant challenges under the green transition, despite their diffe

Navigating the Global-to-National Interface: Exploring the Impact of International Development Agendas on National Policy Shaping: A Study of CRPD implementation in Armenia

Armenia started the disability policy reforms since the ratification of the UN CRPD in 2010. The final laws however were adopted only in 2021 and are not fully in force till now. The objective of this study is to comprehensively investigate the influence of international development agendas on national policy-shaping. Additionally, the study seeks to gain a nuanced understanding of the complex pro

Svenska e-handlares acceptans av metoder för datainsamling på Internet: En kvalitativ studie om e-handlares uppfattningar av påverkande faktorer vid utfasningen av third-party cookies

E-handelsindustrin har länge använt sig av third-party cookies för att spåra internetanvändare, men 2024 kommer dessa att ha fasats ut från de största webbläsarna. Det nuvarande kunskapsläget kan varken besvara vad e-handlarna anser vara alternativ till third-party cookies eller vilka faktorer som leder till acceptans av dessa. Syftet med studien är därför att kvalitativt beskriva vad svenska e-ha

Navigering genom Digital Transformation

Studien undersöker digital transformation inom den offentliga sektorn i Sverige, med fokus på domstolsväsendet och sjukvården. Digital transformation har blivit en central process för samhällsutveckling, beskriven i tre faser: datorisering, digitalisering och digital transformation. Trots att en lyckad digital transformation kan generera effektivitetsvinster och värde för olika intressenter, finns

Arbetsgivarens rehabiliteringsansvar

Den här uppsatsen undersöker arbetsgivarens rehabiliteringsansvar och hur långt det sträcker sig. Ur arbetsgivarens perspektiv kan rehabiliteringsarbetet delas upp i tre distinkta delar med olika regleringar. Den första delen är undersökningsfasen där det viktiga är om arbetstagaren är sjuk och om arbetstagarens bristande prestation beror på sjukdomen, eftersom det endast är då rehabiliteringsansvEmployers have a responsibility when their workers become sick, to assist in the employee’s effort to rehabilitate and return to work, if possible. The objective for this student thesis is to take a closer look at the employer’s rehabilitation responsibility, by examining the legislation, the legislative history, and relevant court cases and precedents. The employer’s rehabilitation responsibiliti

Anteciperat avtalsbrott - Stoppningsrättens utövande

Anteciperat avtalsbrott, även så kallat befarat avtalsbrott regleras i bestämmelserna 61-63 §§ KöpL. För att kunna hålla inne sin prestation krävs det att starka skäl ska föreligger följt av ett flertal rekvisit, till exempel att det ska röra sig om en viss väsentlighet. Det ska med andra ord finnas starka misstankar om att motparten inte kommer att uppfylla en väsentlig del av sina prestationer. Anticipated breach of contract, also known as feared breach of contract, is regulated in provisions 61-63 §§ KöpL. In order to be able to withhold performance, it is required that there must be strong reasons followed by a number of prerequisites, for example, it must be of a certain materiality. In other words, there must be strong suspicions that the counterparty will not fulfill a substantial p

Evaluating a new hydraulic implementation in LPJ-GUESS for three sites in north Europe

Drought is projected to increase in frequency and intensity and impacts trees with increased water stress and increased mortality rate. Water stresses can cause hydraulic failure-related mortality or carbon starvation due to tree species having different strategies to deal with water stresses. LPJ-GUESS-HYD (Hydraulic implementation of a new plant hydraulics scheme in LPJ-GUESS) was developed to i

Between Risk and Transformation. Managing Resistance to Gender-Transformative Change. The case of Plan International Paraguay

Development organisations that work to transform gender relations and power structures are bound to face resistance to change (RTC). While overt forms of RTC are becoming increasingly prominent in the context of the rise of the transnational «anti-gender» movement. Thus, this thesis aims to understand how RTC can be addressed through a gender-transformative approach (GTA) by focusing on the case s

A top-down investigation of the possible extension of oxygen concentrator use within Swedish healthcare, with regards to national and global benefits

Oxygen concentrators are relatively small medical devices that concentrates oxygen from the ambient air next to the patient. They are widely used in low resource settings and in the home health care. For larger hospitals in Sweden and similar countries however, the most common oxygen source is liquid oxygen and oxygen cylinders, delivered from an off-site supplier. Liquid oxygen is often not an op

Local Planning for Unmanned Ground Vehicles using Imitation Learning

Mobile robotics is an expanding field worldwide leading to the need for advanced path-planning algorithms that can traverse various environments. Current state-ofthe- art path-planning algorithms used at the Swedish Defence Research Agency, FOI, tend to be inflexible and parameter dependent. The parameters might need to be tuned for each new environment, which is a very labor-intensive process. T

Latency Prediction in 5G Networks by using Machine Learning

This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. We trained four different machine learning models, including Forward Neural Network (FNN), Convolutional Neural Network (CNN), Recurrent Neu

Evaluating machine learning models for text classification

This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. To find the most efficient solution to this task, the ready-made sentiment analysis tool available on AWS (Amazon Comprehend) was compared to custom-made solutions built on t

Processing Predicate NPs: An EEG study

Theories on discourse accessibility and givenness suggest that nominal discourse entities vary with regard to how likely they are to act as antecedents to anaphoric expressions. Many factors are thought to affect the accessibility of a nominal entity in the mental model, including its morphosyntactic form and grammatical role. Moreover, previous research has shown that reflexive pronouns can be il

State of Health estimation of battery systems

This study focuses on estimating the state of health (SoH) of a lithium iron phosphate (LFP) battery system, which is crucial for assessing the value and lifespan of new or used batteries in energy storage, grid support, and electric vehicle applications. A proposed method for determining SoH based on comparing useful and nominal useful capacities in Ah and Wh, as well as total and nominal capacit

Oscillator Based Readout System For Inductively Coupled Stretchable Resistive Strain Sensor

The development and use of stretchable electronics is a relatively new research field. However, the use of these kinds of electronics could prove fruitful when seeking to improve medical sensors and equipment. Since the substrates and manufacturing methods used when making stretchable electronics allows them to be extremely thin, with a thickness in the μm range. At these thickness levels, the ele

Predicting dust storm susceptibility: exploring control strategies with XGBoost models

Dust storms are meteorological phenomena that occur in arid and semi-arid regions, causing harm to the environment and human health. The frequency and intensity of dust storms have increased in recent years due to climate change and human activities. In response, various dust storm mitigation strategies were introduced, including land use management, afforestation, and mulching. The existing resea

Uncovering the spatial relationships between Covid-19 vaccine coverage and local politics in Sweden

Tveksamhet mot vaccin har tidigare undersökts både globalt och inom nationer, genom såväl demografiska och socioekonomiska faktorer som politisk och ideologisk orientering hos de personer som har erbjudits vaccin. Skillnader i vaccinationstäckning har föreslagits vara geografiskt strukturerat, kopplat till Covid-19 såväl som andra vaccin, och det finns flera exempel på sådan forskning där rumsligaGlobal as well as national vaccine hesitancy have previously been investigated using demographic and socioeconomic factors, as well as political or ideological orientations of the persons offered vaccinations. Variation in vaccine uptakes has been suggested to be geographically structured, in both Covid-19 and other vaccine contexts, and there are several examples of such research applying spatial