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Worldwide, racial and ethnic minorities have been disproportionately impacted by COVID-19 with increased risk of infection, its related complications, and death. In the initial phase of population-based vaccination in the United States (U.S.) and United Kingdom (U.K.), vaccine hesitancy may result in differences in uptake. We performed a cohort study among U.S. and U.K. participants who volunteere

Surgical conditions exert a major health burden in low-income and middle-income countries (LMICs), yet surgery remains a low priority on national health agendas. Little is known about the national factors that influence whether surgery is prioritised in LMICs. We investigated factors that could facilitate or prevent surgery from being a health priority in three LMICs.

In this paper we discuss AI in industrial robotics. In automatic control, computer vision and optimization, ma- chine learning and data mining algorithms are widely used. However, cognition enabling mechanisms, such as high-level logic and symbolic reasoning, are still limited. This is not due to the lack of available algorithms, rather the bottleneck is knowledge representation, acquisition and t

Extracting speaker-dependent paralinguistic information out of a person's voice, provides an opportunity for adaptive behaviour related to speaker information in speech processing applications. For instance, in audio-based conversational applications, adapting responses to the attributes of the correspondent is an integral part in making the conversations effective. Two speaker attributes that hum

BACKGROUND: Exposure to adverse childhood experiences (ACE) have been found to have profound negative consequences on an individuals' health. Non-suicidal self-injury (NSSI) is a clinically complex and serious global health issue and is closely related to suicide attempts. Previous research has found associations between ACE and NSSI and suicide attempts in clinical samples. However, this associat

To train well-performing generalizing neural networks, sufficiently large and diverse datasets are needed. Collecting data while adhering to privacy legislation becomes increasingly difficult and annotating these large datasets is both a resource-heavy and time-consuming task. An approach to overcome these difficulties is to use synthetic data since it is inherently scalable and can be automatical

Identification of novel biomarkers for early diagnosis, prognosis, and treatment decision will be instrumental for improving disease outcome for patients suffering from complex diseases, such as cancer and autoimmune disorders. Within personalized medicine, the use of circulating biomarkers will allow clinicians to tailor medical treatment based on individual characteristics of each patient, using

High resolution radio based positioning and tracking is a key enabler for new or improved cellular services. In this work, we are aiming to track user movements with accuracy down to centimeters using standard cellular bandwidths of 20-40 MHz. The goal is achieved by using phase information from the multi-path components (MPCs) of the radio channels. First, an extended Kalman filter (EKF) is used

In this paper, we describe a passage retrieval component for a questioning answering system and we evaluate its performance on Swedish documents. We used a corpus of questions and answers transcribed from the Swedish board game Kvitt eller dubbelt and, as source for the passages, we used the articles of the Swedish version of Wikipedia. We show that Wikipedia is a suitable knowledge source to answ

Semantic role labeling has become a key module of many language processing applications. To build an unrestricted semantic role labeler, the first step is to develop a comprehensive proposition bank. However, building such a bank is a costly enterprise, which has only been achieved for a handful of languages. In this paper, we describe a technique to build proposition banks for new languages using

Task-level industrial robot programming is a mundane, error-prone activity requiring expertise and skill. Since humans easily communicate with natural language (NL), it may be attractive to use speech or text as instruction means for robots. However, there has to be a substantial amount of knowledge in the system to translate the high-level language instructions to executable robot programs. In th

We investigate a concept called PREP - Pragmatic Research on Educational Practice, with the goal of engaging engineering educators in studying, documenting and sharing their initiatives to improve teaching practices. This concept is compared to other methodologies where the researcher and educational practitioner sometimes coincide. The study is based on a pilot, with six participants following th

Purpose: Paleolithic Diet Fraction (PDF) estimates how large a portion of the absolute dietary intake stems from food groups included in the Paleolithic diet. In randomized controlled trials higher PDFs have been associated with healthier levels of cardiometabolic risk markers. Our aim was to build upon these findings by examining associations between PDF and mortality and incidence of cardiometab

In recent years, history of knowledge has been established as a new theoretical field in the study of history. An important perspective in this field is the theory of circulation of knowledge, according to which knowledge should be studied through its movement between different spheres in society – movement that, furthermore, contributes to changing this knowledge. A promising line of inquiry in t

Chronic mesenteric ischaemia is a severe and incapacitating disease, causing complaints of post-prandial pain, fear of eating and weight loss. Even though chronic mesenteric ischaemia may progress to acute mesenteric ischaemia, chronic mesenteric ischaemia remains an underappreciated and undertreated disease entity. Probable explanations are the lack of knowledge and awareness among physicians and

Named entity linking is the task of identifying mentions of named things in text, such as “Barack Obama” or “New York”, and linking these mentions to unique identifiers. In this paper, we describe Hedwig, an end-to-end named entity linker, which uses a combination of word and character BILSTM models for mention detection, a Wikidata and Wikipedia-derived knowledge base with global information aggr

Introduction: Suicidal behavior results from a complex interplay of psychiatric, psychosocial, socioeconomic, and structural factors and requires coordinated approaches across care sectors. Interprofessional collaboration (IPC) is widely regarded as essential for bridging gaps in care, yet profession-level descriptions of how IPC is organized and where structural bottlenecks occur in suicide preve

On 15 April 2025, the Conseil d’État (French Supreme Tax Court), for the first time, referred preliminary questions to the CJEU to determine whether the Marks & Spencer exception can apply within the French tax consolidation regime. This unprecedented referral follows years of internal divergences over the scope of a case law principle that is both central and controversial: the right, under c