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Objective: To evaluate if remission induced by low-dose prednisolone during the first 2 years of rheumatoid arthritis (RA) in the BARFOT glucocorticoid (GC) study had a sustained effect on radiological damage for a total of 4 years. Methods: A total of 150 of 211 eligible patients with RA who had been randomised to the 7.5 mg prednisolone group ( P) or no prednisolone group (NoP) in addition to th
Codes constructed from connected spatially coupled low-density parity-check code (SC-LDPCC) chains are proposed and analyzed. It is demonstrated that connecting coupled chains results in improved iterative decoding performance. The constructed protograph ensembles have better iterative decoding thresholds compared to an individual SC-LDPCC chain and require less computational complexity per bit wh
Background: Limited evidence exists for effect modification of genetic characteristics on the associations of food consumption and incident type 2 diabetes (T2D). Objectives: We aimed to investigate whether the food-T2D association would vary by genetic susceptibility to metabolic traits. Methods: We analyzed data from 9542 incident T2D cases and a subcohort of 12,477 participants nested within th
NTRU is a public-key cryptosystem, where the underlying mathematical problem is currently safe against large-scale quantum computer attacks. The system is not as well investigated, as for example RSA, and the company behind NTRU has created the NTRU Challenges, to remedy this. These challenges consist of 27 different public keys of increasing size, where the task in each challenge is to calculate
Accurate labels are critical for deriving robust machine learning models. Labels are used to train supervised learning models and to evaluate most machine learning paradigms. In this paper, we model the accuracy and cost of a common weak labeling process where annotators assign presence or absence labels to fixed-length data segments for a given event class. The annotator labels a segment as "pres
Microsoft Word - DRAFT 3 Master’s thesis Landscape planning from a child’s perspective A case study in the Vombsänkan in southernmost Sweden Lund, 25 May 2009 Lund University Master’s Programme in Environmental Studies and Sustainability Science “LUMES” Submitted by: Mirjam van der Hoek mirjamvanderhoek@hotmail.com Supervised by: Göran Ewald goran.ewald@lucsus.lu.se 2 Abstract Landscapes are mostl
https://www.lumes.lu.se/sites/lumes.lu.se/files/vanderhoek_mirjam_0.pdf - 2026-07-19
Välkomna klappar från VR Riskbenägen rektor summerar Hur säker är big data? Nytillskott Lunds universitets magasin | Nr 9 | 2014 ökar växtkraften i botan 2 LUM nr 9 | 2014 LUM nr 9 | 2014 3 Experimentell konst på tvärs 3 t På Inter Arts Center (IAC) i Malmö samlas alla delar av Konstnärliga fakul teten för att tillsammans forska och skapa gemensamma projekt. Målet är att hitta nya infallsvinklar
https://www.lu.se/sites/www.lu.se/files/lunds-universitets-magasin-9-2014.pdf - 2026-07-19
Low-power wearable technologies offer a promising solution to pervasive epilepsy monitoring by removing the constraints concerning time and location, on one hand, and fulfilling long-term tracking, on the other hand. In the case of epileptic seizures, as the attacks infrequently occur, using an anomaly detection approach reduces the need to record long hours of data for each patient before detecti
In this paper, we present a method of constructing new families of LDPC block code ensembles formed by terminating irregular protograph-based LDPC convolutional codes. Using the accumulate-repeat-by-4-jagged-accumulate (AR4JA) protograph as an example, a density evolution analysis for the binary erasure channel shows that this flexible design technique gives rise to a large selection of LDPC block
As retail is becoming increasingly digitised in its operation and consumer relationships, much faith is put into automation, prediction and insights drawn from consumer data to shape consumer experiences and expectations. Under the umbrella of data-collection and artificial intelligence (AI), this chapter studies the role of consumer trust in retail personalisation. We draw empirical insights from
We present the PalCom Object Notation, a textual data representation format for communication between internet of things which support binary and textual data. The format does not require parsing of user data (or the “payload”) and is thus efficient to use also for large binary values such as digital images, audio and video as well as for short textual values. These can be mixed in the same messag
In this paper we describe our NLP supported programming-by-demonstration approach to high-level robot programming that allows users to generate skills and robot program primitives for later refinement and re-use. Our ideas incorporate the identification of common user strategies (interaction patterns) in the programming process, which can be exploited to support a human user in establishing common
This paper presents a study on iconic programming support for mainly position-based lead-through programming of an ABB YuMi collaborative robot. A prototype tool supporting a hybrid programming and execution mode was developed and evaluated with 21 non-expert users with varying programming and robotics experience. We also present a comparison of the programming times for an expert robot programmer
A novel ultra high-throughput detection algorithm with an efficient VLSI architecture for high-order MIMO detectors in the complex constellations is proposed. The main contributions include a new method for the node generation in complex-domain, pipelinable sorters, and a simple combinational circuit instead of the conventional multipliers, which makes the proposed architecture multiplication-free
A novel detection algorithm with an efficient VLSI architecture featuring efficient operation over infinite complex lattices is proposed. The proposed design results in the highest throughput, the lowest latency, and the lowest energy compared to the complex-domain VLSI implementations to date. The main innovations are a novel complex-domain means of expanding/visiting the intermediate nodes of th
In this paper, a novel hard-output detection algorithm for the complex multiple-input multiple-output (MIMO) detectors is proposed, which results in a significant throughput enhancement, a near-ML performance, and an SNR-independent fixed-throughput. Moreover, a high-throughput VLSI implementation is proposed, which is based on a novel method of the node generation and sorting scheme. The proposed
Abstract: Long Term Evolution (LTE) supports peak data rates in excess of 300 Mb/s. A good approach to achieve such rates is by parallelizing the required processing in turbo decoders. An interleaver is an important part of a turbo decoder. LTE uses the Quadratic Permutation Polynomial (QPP) interleaver, which makes it suitable for parallel decoding. In this paper, we propose an efficient architec
A novel low-complexity detection scheme is proposed for the multiple-input multiple-output (MIMO) single-carrier frequency division-multiple access (SC-FDMA) systems, which is suitable for ASIC implementations. The proposed detection scheme makes an initial estimate of the transmitted signal based on a minimum mean square error (MMSE) frequency domain equalizer (FDE) detector and finds symbols wit
