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Straumann® Emdogain® is a protein-based gel used in dentistry for tissue regeneration. Emdogain® contains enamel matrix proteins, which are mainly amelogenin proteins. These are obtained through weakly acidic extraction from porcine tooth buds. Embedded in the enamel matrix is also hydroxyapatite which releases calcium ions. These ions saturate the solution, and the protein extraction halts. An at
This study examines the production of morphosyntax in Swedish-speaking children diagnosed with Developmental Language Disorder (DLD). Data from a Sentence Repetition Task was used to investigate if there is an implicational order according to Processability Theory (PT) in grammatical structures produced by school-age children with DLD. PT is a cognitive theory of language development that assumes
Fully precise static analysis of program behavior is undecidable in theory and infeasible in practice. While individual static analyses can prove specialized invariants about program behavior or resolve narrow ambiguities, real programs are complex composites of many different abstractions and programming patterns. State-of-the-art approaches to program analysis thus generally rely on composite an
Many software language tools use declarative domain-specific languages (DDSLs) to implement parts of their functionality, such as context-free grammars for parsing or inference rules for type analysis. For interoperability and ease of use, DDSLs often rely on embedded general-purpose language (GPL) code fragments, as in the semantic actions of parser specifications, but require that these GPL frag
Objective. This study aimed to investigate the potential of contrastive learning to improve auditory attention decoding (AAD) using electroencephalography (EEG) data in challenging cocktail-party scenarios with competing speech and background noise. Approach. Three different models were implemented for comparison: a baseline linear model (LM), a non-LM without contrastive learning (NLM), and a no
Objective: Enhancing the reliability of myoelectric controllers that decode motor intent is a pressing challenge in the field of bionic prosthetics. State-of-the-art research has mostly focused on Supervised Learning (SL) techniques to tackle this problem. However, obtaining high-quality labeled data that accurately represents muscle activity during daily usage remains difficult. We investigate th
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
Dexterous in-hand manipulation offers significant potential to enhance robotic manipulator capabilities. This paper presents a sensori-motor architecture for in-hand slip-aware control, being embodied in a sensorized gripper. The gripper in our architecture features rapid closed-loop, low-level force control and is equipped with sensors capable of independently measuring contact forces and sliding
In the last column, we promised to return to one of the inevitable challenges that vibe coding leaves us with. At the AI Engineer World’s Fair 2025, OpenAI’s Sean Grove claimed that whoever writes the specification is now the programmer since AI can take it from there. Sounds amazing, but what gets lost along the way? To explore this, I’m joined by Jan-Philipp Steghöfer, a researcher at XITASO and
Multidimensional diffusion MRI is a promising new MRI approach that has the potential to non-invasively give information about brain microstructure at an unprecedented level of detail. The present contribution briefly reviews the salient features of the novel method, its historical background and differences with conventional methods, as well as the remaining challenges that have to be overcome in
Reconfigurable scan networks (RSNs) provide efficient and flexible access to on-chip logic, such as instruments for test and diagnostics, throughout a semiconductor’s lifetime. Test instruments are powerful, as they provide high controllability and observability. The availability of a high number of test instruments, as well as the standardized and easy access, makes RSNs a valuable target for an
I takt med att allt fler användningsområden upptäcks ökar efterfrågan på biologiska läkeme-del i form av till exempel enzymer, antikroppar och virus. I många fall har biologiska läke-medel redan blivit standard i behandlingen av sjukdomar som diabetes, HIV/AIDS, samt vissa neurologiska sjukdomar. Dessa läkemedel kännetecknas av att de produceras av celler som har blivit genetiskt modifierade för aAs the market for biopharmaceuticals grows, the demand for continuous downstream pro-cessing (DSP) increases. This thesis tackled one of the key factors in successfully creating a continuous chromatography process: the ability to have an automated supply of complex buffer solutions. It aimed to develop and evaluate a Buffer Preparation Unit using an ÄKTA Pure machine, as well as the development of
Previous research on A/B testing and continuous experimentation has mostly focused on large-scale settings with company-external customers. However, work efficiency and satisfaction for company coworkers may be highly related to internal tools and their fit-for-use. In this study, we therefore explore A/B testing for online services exclusively used by company co-workers. We A/B tested two version
Automated testing is a safeguard against software regression and provides huge benefits. However, it is yet a challenging subject. Among others, there is a risk that the test cases are too specific, thus making them inefficient. There are many forms of undesirable behaviour that are compatible with a typical program’s specification, that however, harm users. An efficient test should provide most p
Construction using timber has seen a resurgence in light of global climate mitigation policies. Wood is a renewable resource, and engineered wood products are proving to be competitive against concrete and steel while having several advantages. However, while the renewable nature of wood in construction is a beneficial property for climate mitigation policies, the process of biodegradation introdu
Driving automation systems, including autonomous driving and advanced driver assistance, are an important safety-critical domain. Such systems often incorporate perception systems that use machine learning to analyze the vehicle environment. We explore new or differing topics and challenges experienced by practitioners in this domain, which relate to requirements engineering (RE), quality, and sys
Human physiology is the study of how organisms, organ systems, and individual organs function under normal circumstances. As a consequence of its paramount importance to medicine, physiology has been studied since ancient times, but the models studied in this book follow the tradition of modern physiology pioneered by Claude Bernard in the mid 1800s.The focus of the book lies on how dynamical mech
Pharmacometric modeling plays an important role in drug development and personalized medicine. Pharmacometric covariate models can be used to describe the relationships between patient characteristics (such as age and weight) and pharmacokinetic (PK) parameters. Traditionally, the functional structure of these relationships are obtained manually. This is a time-consuming task, and consequently lim
