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Simultaneous localization and communication (SLAC) is a desirable feature of 5G and beyond 5G wireless networks. To be able to implement SLAC, efficient high dimensional channel estimation methods are critical. This work presents a low-complexity multidimensional channel parameter estimation via rotational invariance techniques (MD-ESPRIT). We use both the spatial smoothing and forward-backward av
Although fossils are relatively common in some sedimentary deposits, the majority consists of fragmented or distorted skeletal hard parts (such as shell and bones). However, in rare cases, special burial and diagenetic conditions have allowed a greater portion of the original anatomy to be incorporated into the fossil record. This exceptional type of preservation is characterised by the retention
A new rapid method for immunochemical quantitation - immunocapillarymigration - is presented. It is based upon.....
While security is often recognized as a top priority for organizations and a push for competitive advantage, repeatedly, Internet of Things (IoT) products have become a target of diverse security attacks. Thus, orchestrating smart services and devices in a more open, standardized and secure way in IoT environments is yet a desire as much as it is a challenge. In this paper, we propose a model for
Parser generators are an indispensable tool for rapid language devel- opment. However, they often fall short of the finesse of a hand-crafted parser, built with the language semantics in mind. One area where generated parsers have pro- vided unsatisfactory results is that of error recovery. Good error recovery is both natural, giving recovery suggestions in line with the intention of the programme
Transmission of respiratory viruses is a complex process involving emission, deposition in the airways, and infection. Inhalation is often the most relevant transmission mode in indoor environments. For severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the risk of inhalation transmission is not yet fully understood. Here, we used an indoor aerosol model combined with a regional inhaled
One of the core pathological features of Parkinson's disease (PD) is the loss of the dopaminergic nigrostriatal pathway which lies at the heart of many of the motor features of this condition as well as some of the cognitive problems. The importance of this pathological event is evident through the clinical benefits that are seen when patients with PD are treated with dopaminergic agents, at least
The incidence of melanoma is rising and will require more efficient diagnostic procedures to meet a growing demand. Excisional biopsy and histopathology is still the standard, which often requires multiple surgical incisions with increasing margins due inaccurate visual assessment of where the melanoma borders to healthy tissue. This challenge stems, in part, from the inability to reliably delinea
Regional researchers have extensively debated contradictions of identity-based regionalism and politically initiated regionalisation. Works addressing the spatial imaginaries of state-led regional institutionalisation processes have since emerged. Sometimes neglected, however, is theoretical attention to what I suggest are acts of counter-institutionalisation: attempts to destabilise dominant regi
The project developed a structured workflow for 3D scanning and documentation of artworks. This workflow covers every step from initial image capture to the final 3D model, ensuring consistency and quality in how artworks are digitized. It was presented to students as part of a course, giving them hands-on experience with 3D scanning equipment and photogrammetry software. Through practical exercis
Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro
Black-box policy optimization is a class of reinforcement learning algorithms that explores and updates the policies at the parameter level. This class of algorithms is widely applied in robotics with movement primitives or non-differentiable policies. Furthermore, these approaches are particularly relevant where exploration at the action level could cause actuator damage or other safety issues. H
High-risk neuroblastoma (NB) is a rare, solid childhood cancer with poor prognosis due to treatment resistance and metastasis. Improved patient outcome is dependent on the understanding of the resistance mechanisms and subsequent development of novel treatment options.In Paper I, we established a clinically relevant in vivo treatment protocol using current standard-of-care chemotherapy (COJEC). We
Enzymes serve as biological catalysts in a wide range of applications, from household products to industrial processes, research, diagnostics and forensic science. They accelerate reactions with high specificity under mild reaction conditions and are essential for life. Advances in recombinant DNA technology have enabled the use of microorganisms as efficient cell factories for production of heter
Taffy Twisters (1998) features an extension of the composer's model of articulation.
