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Since the beginning of the 1960’s, there has been a widening gap in GDP per capita between the countries in the regions of East Asia & Pacific and Sub-Saharan Africa. By growing more and shrinking less, some but not all, developing countries have deviated from a state of underdevelopment and caught up with the developed world. Moreover, it has been argued that the biggest chance of catching up
The United Kingdom has post September 11th, and the horrifying attacks in the United States, argued that its national security is threatened by international terrorism, in particular by foreign nationals suspected of terrorism present in the country. As a consequence to this, the Government has increased its counter terrorism legislation including the implementation of the Anti-terrorism, Crime an
Aims/hypothesis: The aim of this work was to investigate whether baseline uric acid (UA) is associated with future complications among young individuals with newly diagnosed type 1 diabetes. Methods: UA levels were analysed in individuals, aged 15–34 years with newly diagnosed type 1 diabetes, from the nationwide Diabetes Incidence Study in Sweden (DISS) cohort to assess the relationship with macr
Accessing embedded test and monitoring circuitry (the so-called embedded instruments) in in-field products can reduce maintenance and diagnostics costs. Performing such access can be facilitated when done over an internal system bus, due to that it might be faster and less cumbersome to reach a system processor (on an in-field product) over a network interface, compared with the effort and speed o
Background: Existing working heart models for ex vivo functional evaluation of donor hearts often use cardiac afterloads made up of discrete resistive and compliant elements. This approach limits the practicality of independently controlling systolic and diastolic aortic pressure to safely test the heart under multiple loading conditions. We present and investigate a novel afterload concept design
Recent years have seen growing interest in leveraging deep learning models for monitoring epilepsy patients based on electroencephalographic (EEG) signals. However, these approaches often exhibit poor generalization when applied outside of the setting in which training data was collected. Furthermore, manual labeling of EEG signals is a time-consuming process requiring expert analysis,
BACKGROUND: The risk of venous thromboembolism is high after total hip arthroplasty and could persist after hospital discharge. Our aim was to compare the use of rivaroxaban for extended thromboprophylaxis with short-term thromboprophylaxis with enoxaparin.METHODS: 2509 patients scheduled to undergo elective total hip arthroplasty were randomly assigned, stratified according to centre, with a comp
The state-of-the-art machine learning techniques come with limited, if at all any, formal correctness guarantees. This has been demonstrated by adversarial examples in the deep learning domain. To address this challenge, here, we propose a scalable robustness verification framework for Deep Neural Networks (DNNs). The framework relies on Linear Programming (LP) engines and builds on decades of adv
Epilepsy is one of the most common neurological disorders that is characterized by recurrent and unpredictable seizures. Wearable systems can be used to detect the onset of a seizure and notify family members and emergency units for rescue. The majority of state-of-the-art studies in the epilepsy domain currently explore modern machine learning techniques, e.g., deep neural networks, to accurately
The aim of the paper was to investigate EFL (English as a foreign language) primary school teachers’ beliefs regarding their teaching methods used in English at grade 5 in the classroom, which was a part of my PhD research (Son, 2018). Interviews (teachers at Grade 5 observed classes; Responses N=2, Sweden and N=3, Vietnam) and questionnaires to English teachers at grade 5 in Swedish and Vietnames
Rice and quinoa starch esters were prepared by acylation using short-chain fatty acid anhydrides with different chain lengths (acetic, propionic, and butyric anhydride). A direct stoichiometric method based on the acylation reaction was used to determine the degree of substitution (DS) and acyl content (AC). In addition, Fourier-transform infrared spectroscopy (FTIR) was used to validate the confo
Objective: The objective of this study was to assess the association between hip muscle strength and hip-related patient-reported outcome measures (PROMs) in patients with longstanding hip and groin pain (LHGP). Design: Cross-sectional design. Setting: Orthopedic care. Participants: Eighty-one patients with LHGP were consecutively recruited. Main outcome measures: Hip muscle strength was measured
Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier
Battery-free IoT devices are becoming increasingly interesting for environmental and practical reasons, with ambient backscatter as one of the candidate technologies. We present a class of balanced transmission patterns for ambient backscatter communication (BSC) and evaluate their performance under different signal-to-interference ratios and fading conditions. These patterns allow for bit synchro
