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Minor structural changes on the surface of proteins can have tremendous impact on their biological properties. When producing therapeutic proteins it is therefore important to verify that the generated protein is the desired one. Small variations such as glycosylations or amino acid substitutions can mean the difference between a functional, defective or even toxic product. This thesis describes

The role of urban open space is multi-faceted. Looking at residential open space you will find that it has specific qualities compared to other types of urban space due to the proximity to home. This paper discusses residential open space as arena for integration, taking this topological property as a starting point. The paper is based on an ongoing study in the Swedish city Landskrona. The study

The structures of sexual networks are essential for understanding the dynamics of sexually transmitted infections. Standard epidemiological models largely disregard the complex patterns of intimate contacts. Social network analysis offers important insight into how to conceptualize and model social interaction and has the potential to greatly enhance the understanding of disease epidemics. (C) 200

Sphere decoders can approach the performance of maximum-likelihood (ML) decoders for MIMO systems with lower complexity. In this paper, VLSI architecture of the modified K-best Schnorr-Euchner (MKSE) sphere decoder is proposed for soft-output MIMO decoding. The MKSE decoder can achieve near-ML performance with higher decoding throughput and lower computational complexity. The proposed VLSI archite

We present here a version of the existence and uniqueness result of time periodic solutions to the viscous Burgers' equation with irregular forcing terms (with Sobolev regularity -1 in space). The key result here is an a priori estimate which is simpler than the previously treated case of forcing terms with regularity -1/2 in time.

PurposeIn the age of digital businesses, the rise of innovative digital transformation has made supply chain transparency (SCT) an essential research topic. While digital technologies provide possibilities for enhancing transparency in supply chains, there is limited research on how digital businesses overcome different SCT issues or provide real-time visibility and traceability. This study aims t

In May 2024 with a subsequent update in June 2025, the Swedish Medical Products Agency’s expert group revised guidelines on the management and treatment of respiratory syncytial virus (RSV) infection. This is an abridged version and commentary on the full recommendation including specific recommendations for the RSV-season 2025/2026. Key points are: (i) RSV is a seasonal, highly contagious infecti

Nomenclature for the disease widely known as Sjögren syndrome has proven unsatisfactory. Patients have perceived ‘syndrome’ as indicative of a vague collection of symptoms, prompting the Sjögren’s Foundation to abandon the term. Furthermore, the traditional distinction between ‘primary’ and ‘secondary’ forms fails to account for the complex interplay between overlapping autoimmune diseases. Follow

The HIBEAM-NNBAR program is a proposed two-stage experiment at the European Spallation Source focusing on searches for baryon number violation processes as well as ultralight dark matter. This paper presents recent advancements in computing and simulation, including machine learning for event selection, fast parametric simulations for detector studies, and detailed modeling of the time projection

Sustainable access to effective antibiotics is a main rationale for addressing antimicrobial resistance, for calls to enhance antibiotic supply security and for development support to promote health system capacity in low- and middle-income settings. Standard models for valuing pharmaceuticals fail to capture the full value of sustainable access to effective antibiotics. In effect, assessments of

Clinical research usually involves time-to-event survival analysis, in which the presence of a competing event is prevalent. It is acceptable to use the conventional Cox proportional hazard regression to model cause-specific hazard. However, this cause-specific hazard cannot directly translate to the cumulative incidence function, and the latter is usually clinically relevant. The subdistribution

Mobile Stroke Units (MSUs) are specialized ambulances that can diagnose and treat stroke patients; hence, reducing the time to treatment for stroke patients. Optimal placement of MSUs in a geographic region enables to maximize access to treatment for stroke patients. We contribute a mathematical model to optimally place MSUs in a geographic region. The objective function of the model takes the tra