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We propose and analyze a novel scheme based on LDPC codes for quantitative group testing. The key underlying idea is to augment the bipartite graph by introducing hidden non-binary variables to strengthen the message-passing decoder. This is achieved by grouping items into bundles of size q within the test matrix, while keeping the testing procedure unaffected. The decoder, inspired by some works
BACKGROUND: Patients with metastatic non-small-cell lung cancer have a substantial symptom burden and may receive aggressive care at the end of life. We examined the effect of introducing palliative care early after diagnosis on patient-reported outcomes and end-of-life care among ambulatory patients with newly diagnosed disease.METHODS: We randomly assigned patients with newly diagnosed metastati
Hybrid analog-digital beamforming stands out as a key enabler for future communication systems with a massive number of antennas. In this paper, we investigate the hybrid precoder design problem for angle-of-departure (AoD) estimation, where we take into account the practical constraint on the limited resolution of phase shifters. Our goal is to design a radio-frequency (RF) precoder and a base-ba
We recently proposed a quantitative group testing (GT) scheme with low-complexity peeling decoding based on low-density parity-check (LDPC) codes. Based on finite length simulations and a density evolution analysis we were able to demonstrate that simple (dv,dc)-regular LDPC codes can be more efficient for GT than existing generalized LDPC (GLDPC) code constructions based on BCH component codes. E
Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The
Bayesian optimization (BO) has become an established framework and popular tool for hyperparameter optimization (HPO) of machine learning (ML) algorithms. While known for its sample-efficiency, vanilla BO can not utilize readily available prior beliefs the practitioner has on the potential location of the optimum. Thus, BO disregards a valuable source of information, reducing its appeal to ML prac
This paper aims to give a short description of Swedish healthcare provision for persons with intellectual and developmental disabilities (IDD). Swedish persons with IDD should have access to the general healthcare system on the same terms as the general population, and thereby enjoy equal opportunities for healthcare of good quality. Reports from government agencies and interest groups, however, d
University teachers funded to engage in educational development projects have been found to become increasingly engaged in the scholarship of teaching and learning. However, research also points to obstacles such as departmental culture, lack of support from management, and unhelpful administrative processes. In this study, I interview university teachers and their heads of departments in an educa
We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates. We show uniform almost global asymptotic and local exponential stability of the resulting error dynamics, implying robustness against bounded disturbances. This robustness is quantified with respect to a popular nonlinear comple
We regard the classic Thue–Morse diffraction measure as an equilibrium measure for a potential function with a logarithmic singularity over the doubling map. Our focus is on unusually fast scaling of the Birkhoff sums (superlinear) and of the local measure decay (superpolynomial). For several scaling functions, we show that points with this behavior are abundant in the sense of full Hausdorff dime
Testing autonomous driving systems for safety and reliability is essential, yet complex. A primary challenge is identifying relevant test scenarios, especially the critical ones that may expose hazards or harm to autonomous vehicles and other road users. Although numerous approaches and tools for critical scenario identification are proposed, the industry practices for selection, implementation, a
After the emergence of multidrug-resistant strains, antibiotic resistance in bacteria has become an important problem. Thus, materials for combating multidrug-resistant bacteria are of vital importance. In this work, we developed an antibacterial material that can selectively capture and destruct bacteria on the basis of their physical characteristics. To achieve bacterial capture and deactivation
This paper discusses the future of migrants with acute heart problems and without permanent permission to remain in the country where they are seeking asylum. What does the country they have traveled to owe them? Specifically, what healthcare services are they entitled to? This may seem a niche problem, but numbers of migrants with acute heart problems could increase in the future. Besides, simila
Wave climate data for the Swedish provinces Skane and Halland, were hindcast using SWAN, a third-generation spectral wave model. The 40-year wave dataset, from 1979 to 2019, is made available through an open-access data portal (https://gis.sgi.se/vagmodell/). The wave data has a three-hour resolution and includes significant wave height, peak wave period, and wave direction. The wave model domain
This paper is an attempt to advance research on walking at a neighborhood level of analysis for people with disabilities by proposing a theoretical model that combines the knowledge of two disciplines: traffic planning and environmental psychology. The aim is to provide guidance for a discussion and a plan for future interdisciplinary investigations by proposing a model that accounts for the dynam
Future Internet-of-Things (IoT) systems need to combine heterogeneous IoT components and support weak connectivity. This paper introduces ComPOS, a domain-specific language for composing IoT services into systems. ComPOS is a small language but supports powerful message mediation, using stateful reactions with nested and parallel message sequences and anonymous futures. To deal with weak connectiv
Lifetimes of high-spin states have been measured for 142Gd and 134Nd with EU-ROBALL IV and AFRODITE, respectively, using DSAM. From calculations in the cranked Nilsson-Strutinsky model it was concluded that at the high-spin states of the (+,0)1 band, 142Gd represents a triaxial nucleus rotating around the longest principal axis.
This work is to extend studies of business model (BM) experimentation for sustainable value creation using three cases; here incumbent firms apply resources/networks in pursuit of sustainability-oriented BMs via corporate entrepreneurship. A focus query is: How do organisations apply experimentation to learn, signal and convince key resource holders to engage with shifts (from incumbent BMs) to mo
