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Assessment of models predicting anthropogenic interventions and climate variability on surface runoff of the Lower Zab River

Multi-regression, hydrologic sensitivity and hydrologic model simulations were applied to quantify the climate change and anthropogenic intervention impacts on the Lower Zab River basin (LZRB). The Pettitt, precipitation-runoff double cumulative curve (PR-DCC) and Mann–Kendall methods were used for the change points and significant trend analyses in the annual streamflow. The long-term runoff seri

Nödvändigt eller nyttigt? - En kritisk granskning av XS2A-bestämmelserna i PSD2 och deras förenlighet med begreppet nödvändig nyttighet

För att bedriva verksamhet på vissa marknader är det ibland en nödvändighet att få tillgång till viss infrastruktur. Begreppet nödvändig nyttighet har använts av praktiker sedan början av 1900-talet för att i vissa fall rättfärdiga behovet av sådan tillgång. Doktrinen om nödvändiga nyttigheter är resultatet av den upprepade användning av begreppet nödvändig nyttighet inom amerikansk rättspraxis. To operate in certain markets, it is sometimes a necessity to access certain infrastructure or facilities. The term essential facility has been used by practitioners since the beginning of the 20th century, to justify the need for such access. The essential facilities doctrine is the result of repeated use of the term essential facility in American court cases. In European competition law, the us

Analysis of Inductive Coupling Wireless Power Transfer Systems

Inductive coupling wireless power transfer (WPT) technology is gaining increasing popularity in recent years, especially in the field of wireless charging of portable devices. Although the principles behind WPT systems can be explained using well known results from electromagnetic theory, many questions remain regarding the behavior of such systems. This thesis focuses on identifying and analyzing

Comparative Analysis of Social Vulnerability Indices: CDC’s SVI and SoVI®

As interest in social vulnerability to hazards grows, more indices are formulated for identifying and mapping population groups that may experience differential consequences from natural hazards. However, less attention has been given to the underlying choices researchers make when creating these indices. With the aim to contribute to understanding the issues surrounding social vulnerability indic

Säljarens utfästelseansvar - En jämförelse mellan 4 kap. 19 § 1 st. jordabalken och 40 § 3 st. köplagen

När köpeavtal ingås är det för parterna viktigt att det är tydligt vad som gäller vid ett avtalsbrott. Oklar lagstiftning är något som kan försvåra för parterna att förutse vilket ansvar som kan aktualiseras. För lös egendom finns i köplagen ett antal bestämmelser om vad som gäller vid fel i varan. En särskild svårighet här är att skilja mellan vad som utgör en utfästelse och en särskild utfästelsWhen a contract of sale is concluded, it is important that the parties are aware of what applies in the event of a breach of contract. Unclear legislation can make it difficult for the parties to foresee which liability may arise. For moveable property, the Swedish Sale of Goods Act (Sw. köplagen) contains a number of provisions on what applies in the event of defective goods. A particular difficu

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

Software-Driven Calibration Method for a Pick-and-Place Process

Machine calibration is important for optimal performance throughout the lifespan of industrial processes. A prime example is the pick-and-place process, where robots must manipulate objects accurately. Currently, this process is manually calibrated, which can be a complex practice. This thesis studies a software-based approach to error detection within the process, aiming to reduce the need for ma

Hybrid Mobile Application Development Using an Existing Web Application

Mobile applications are today an important way for companies to reach their customers. Developing a mobile application could require a lot of resources, especially if the application is to be made from scratch. However, an alternative for a company with an existing web application, is making use of the logic in the existing web application, to create a hybrid mobile application. In this thesis, tw

Reactive power control during power system restoration and HVDC investigation

As the society gets more and more dependent on electrical energy, it is highly desirable to ensurepower supply at all times. In case of events of natural disasters, simple technical faults or human mistakes, any power system or a large part of it can suffer a blackout. An electrical shutdown is a crisis situation where recovery should happen as quickly as possible. During the restoration after the

Expert-Driven Distribution Modelling: Identifying Habitat for Eresus sandaliatus in Scania

Landscape fragmentation and habitat loss are detrimental to biodiversity, affecting highly specialised species the most. Species distribution models usually require either solid knowledge about the ecological niche of the species or spatial distribution data. Many endangered species have, how- ever, a relatively unexplored ecological niche in combination with a very small area of distribution. A m

Utilizing Machine Learning for Trading Algorithms Exploiting the Time Series Momentum Anomaly

Momentum or trend following investing refers to trading strategies constructed around the idea that in financial markets, the current trend will, more often then not, prevail. In the context of asset prices, this means that previous returns or the price development of an asset is indicative of similar future returns and price development. While at odds with established theory such as the weaker fo

Keeping up the PICUP

The aggregation of α-synuclein into fibrils has been long proven to be closely related to the toxicity leading to Parkinson’s disease. In this process, medium-sized intermediates called oligomers are formed, a heterogeneous group of aggregates formed by a small number of monomers. While fibrils have been proven to cause little to no toxicity, oligomers have been demonstrated to induce cell death.

Användbara kravspecifikationer vid upphandling av verksamhetssystem inom kommunal vård och omsorg

Syftet med examensarbetet var att undersöka hur användbarhet beaktas och inkluderas vid köp av verksamhetssystem inom kommunal vård och omsorg. Verksamhetssystem som upplevs som användbara av personalen kan effektivisera det dagliga arbetet samt bespara kommuner tid och pengar. Målet med arbetet var att besvara fyra frågor om användbarhet relaterat till kravspecifikationerna samt slutanvändarna. The purpose of the thesis was to investigate how usability is included when purchasing operational systems within the Swedish municipal health care sector. Systems, which are perceived as usable by the users, may cause the daily tasks to be executed more efficiently and effectively. Consequently, the municipalities can save time and money. The goal of the thesis was to answer four stipulated que

Tolka, anpassa och motivera -En kvalitativ studie om socialsekreterares erfarenheter om insatsen kontaktfamilj

The aim of this study was to examine social workers experience on the Swedish statutory regulated program “contact family”. A contact family is a non-compulsory intervention to support children in families with social problems. The intervention contact family together with the intervention contact person is the most common non-compulsory intervention in the Swedish social service. The child lives

Comparative study of risk analysis methods from a fire safety perspective - Case study of new underground facilities at CERN

This report has investigated which type of risk analysis methods that can be used in an early design phase in a unique facility from a time and quality perspective. Two planned underground facilities for the HL-LHC at CERN have been used as a case study. The methodology is an action research study with information gathered from a literature study and survey. Six different risk analysis methods hav

Vision Guided Force Control in Robotics

One way to increase the flexibility of industrial robots in manipulation tasks is to integrate additional sensors in the control systems. Cameras are an example of such sensors, and in recent years there has been an increased interest in vision based control. However, it is clear that most manipulation tasks can not be solved using position control alone, because of the risk of excessive contact f

Mitigation of Inter-Cell Interference for 5G using machine/deep learning

Since the beginning of wireless communication, one of the central problems has been resource management and maximization of network throughput. Solving these recurring issues is an important topic in the field of wireless communication to increase application options and the user experience. The existing methods for solving the issue of inter cell interference by maximizing the network capacity ar

Adaptive Frequency Resolution for Downlink Beamforming in 5G NR

Sedan den första generationen av mobila nätverk lanserades i början av 80-talet har en ny generation utvecklats ungefär vart tionde år. Med ett alltmer digitaliserat samhälle har användningen av de mobila nätverken ökat drastiskt. Ökningen ställer nya krav på nätverkens kapacitet där den senaste generationen, 5G NR, är utvecklad för att tillgodose dagens och kommande års behov. Dessa behov innefatAs the demand for higher data rates and lower latencies increase, together with the use of higher frequency bands, MIMO and beamforming have become an essential part of the 5G NR technology. Calculating the beamforming weights is a costly process, and reducing the frequency resolution of the weight calculations would save a significant amount of computational power. Which resolution is suitable to

A deep learning approach for predicting outcomes of triple-negative breast cancer

Breast cancer is the most common cancer in women. Triple-negative breast cancer affects 10-20% of breast cancer patients and is associated with an especially bad prognosis. Today, tissue slides are assessed manually by a clinician to set a prognosis. However, the prediction of outcomes could possibly be improved using machine learning. This work investigates various machine learning techniques for

Reparera eller konsumera? - En svensk strategi för en ökad andel reparationer

Reparera mera – en svensk möjlighet att förlänga livstiden på produkter Genom att reparera din produkt istället för att köpa en ny bidrar du till att råmaterial besparas, de globala ekosystemen bevaras och växthusgasutsläppen minskas – och du får dessutom möjlighet att bruka din produkt under en längre tid! Reparation utgör därmed en viktig del i omställningen från dagens linjära ekonomi, som byggTo reduce the use of resources, as well as to minimize the effluents of carbon dioxide; we need to use our products for a longer time. Repairs makes that possible and is considered a key strategy to move towards a more circular economy (CE). Sweden recently presented its CE action plan, which includes few direct initiatives that would foster repairs. Therefore, through a literature review, policy