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This paper describes the development of a fuzzy inference system (FIS) for emulating an analog joystick using an inductive tongue-computer interface. The principle of operation of the interface and the inductive sensors signals are described. The FIS receives sensor signals and output the Cartesian position of the virtual joystick, which can be used to control the mouse pointer in a personal compu

A state-dependent variable-gain control system is implemented to follow the characteristics of a laboratory-scale up-flow anaerobic fixed-bed reactor dynamically. The transition from one state to another is determined on an hourly basis, depending on difference between the setpoint of the reactor pH and its true value. Considerable improvement of the process stability - reduction of oscillation in

When conducting laser based diagnostics in combustion environments it is often desirable to obtain temporally resolved information. This can be due to several factors such as combustion taking place in a turbulent flow field, flame propagation from a spark plug in an initially quiescent combustible mixture, or rapid, multi-point fuel consumption in a homogeneous charge as a result of compression i

A numerical scheme for a stochastic partial differential equation of heat equation type is considered where the drift is locally bounded and the dispersion may be state dependent. Uniform convergence in probability is obtained.

The selective blockade of alpha1-adrenoceptors (ARs) is now a well-accepted and widely used treatment for patients presenting with lower urinary tract symptoms (LUTS) associated with benign prostatic hyperplasia (BPH) and bladder outlet obstruction. The sites of action of the currently used alpha1-AR antagonists when relieving LUTS have not yet been established, but it seems clear that effects on

In the area of environment adaptations for people with physical disabilities, it is of vital importance that the design is optimized considering the human-environment interactions. All involved persons in such a planning process must be given sufficient support in understanding the information, so that everyone can participate actively. There is an apparent risk that discussions will be kept betwe

Eutrophication, caused by excessive accumulation of key nutrients such as nitrogen and phosphorus in water, is a major environmental problem that significantly affects water quality and aquatic ecosystems. This thesis project aims to evaluate different adsorption-based treatment methods that can effectively reduce the nutrient content of water. Water samples were collected from various water sourc

Electric vehicles are becoming more common as one of many solutions to the increasingly serious problem of global warming. This comes with new safety challenges as batteries can upon malfunction or abuse enter thermal runaway and as a result catch fire or explode. The gases released from thermal runaway has been determined experimentally in published studies and have been shown to contain fluorina

This thesis focuses on two primary parts: the design of a 10-bit medium high-speed, high-linearity current-steering digital-to-analog converter (DAC), and the implementation of a linear analog interpolation technique aimed at suppressing images at the DAC output. Design considerations for the current-steering DAC are discussed comprehensively, and the circuit is designed in 22nm Fully-Depleted Si

Rehabilitation exercises are essential for recovery from many injuries, and their practice is guided by physical therapists in order to avoid the risk of further damage. The physical therapists have limited tools for conducting a quantified assessment of movement quality and this study investigates whether machine learning could be used to improve that process. A way to assess movement is to analy

BackgroundPrimary care is key to early identification and referral of patients with Alzheimer’s disease (AD). Assessing eligibility for new anti-amyloid treatment may guide appropriate referrals and prevent overburdening specialized care. In this study we determined eligibility for anti-amyloid treatment in patients undergoing cognitive evaluation in primary care.MethodPatients were selected from

Natural polymers are promising sustainable materials for diverse applications. Xylans, major components of hemicellulose, exhibit origin-dependent substitution patterns that determine their physicochemical properties. Targeted enzymatic modification of these substituents offers a mild and precise approach for tailoring the polymer's characteristics. Glucuronidases (EC 3.2.1.139) and xylan α-1,2-gl

BackgroundAlzheimer’s disease (AD) is the most common cause of dementia and a growing healthcare challenge. Amyloid-targeting therapies (ATT) may slow progression, but implementation is limited by logistical and economic barriers. As primary care is the first contact for most patients with cognitive concerns, quantifying treatment eligibility in this setting is essential. The purpose of this study

In the present study, the novel family genetic risk score (FGRS) method, a reliable quantification of latent genetic risk, was applied to posttraumatic stress disorder (PTSD) to examine associations between genetic liability and clinical features of PTSD among 3,097,180 individuals in the Swedish national registries. FGRS was calculated based on lifetime PTSD status for first- through fifth-degree

Purpose: The purpose of this in-depth interview study was to explore how parents of children with sensorineural hearing loss (SNHL) experienced genetic testing and whether they experienced risks and benefits. Background: Most children with SNHL have a genetic etiology, which can be identified through genetic sequencing. A genetic test does not influence treatment, and whether patients and parents

The unquenchable thirst for bandwidth to support next-generation wireless systems is increasingly bringing D-band into the spotlight. This work proposes a scalable D-band patch antenna that features both coplanar and stacked parasitic patch structures. By leveraging inter-patch coupling, different coplanar parasitic elements are excited across different frequency bands, enabling multi-mode operati

OBJECTIVE: Q-space trajectory imaging (QTI) enables detailed characterization of tissue microstructure. Achieving high spatial resolution is challenging due to low signal-to-noise ratio (SNR), particularly on clinical MRI systems with limited gradient capabilities and coil options. This study assessed the potential of denoising methods to improve the resolution of QTI in the brain on a radiotherap