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In the rapidly advancing domain of autonomous vehicle technology, the management of intersection traffic emerges as a demanding challenge. This paper describes the development and implementation of a novel testbed designed for the investigation of an autonomous intersection management system (AIMS). The research primarily focuses on the complex coordination required among autonomous vehicles for e
The proof of the pudding lies in eating, and that is why 6G testbeds are essential in the progress toward the next generation of wireless networks. Theoretical research toward 6G wireless networks proposes advanced technologies to serve new applications and drastically improve energy performance. Testbeds are indispensable to validate these new technologies under more realistic conditions. This ar
Across cultures and languages spontaneous speech is often accompanied bygestures. It is a popular belief that people in Italy gesture more than peoplein Northern Europe, such as in Sweden. Despite this general assumption fewstudies empirically investigate cultural differences in gesture frequency andgesture function under similar circumstances. This study compares the spokenand gestural behaviours
This bookThis book has become the leading source for empirical software engineering research through its earlier editions. It provides an in-depth introduction to experimentation in software engineering. The focus is on the steps to go through to conduct an experiment. It also introduces a structure for selecting a research design and an introduction to systematic literature reviews, surveys, and
Research connecting text and images has recently seen several breakthroughs, with models like CLIP, DALL•E 2, and Stable Diffusion. However, the connection between text and other visual modalities, such as lidar data, has received less attention, prohibited by the lack of text-lidar datasets. In this work, we propose LidarCLIP, a mapping from automotive point clouds to a pre-existing CLIP embeddin
With the emergence of autonomous vehicles comes requirements on adequate and rigorous testing techniques, particularly as systems continuously adapt to changing environments. Scenario-based, simulated testing is one approach that has received attention, where deriving relevant scenarios from various sources is still a challenge. We therefore explore creating executable test scenarios from textual
Testing of autonomous driving systems (ADS) is a crucial, yet complex task that requires different approaches to ensure the safety and reliability of the system in various driving scenarios. Currently, there is a lack of understanding of the industry practices for testing such systems, and also the related challenges. To this end, we conduct a secondary analysis of our previous exploratory study,
We describe and demonstrate our work on multimodal filtered vector search in tabular data. It offers a practical way for businesses to vectorize their product assortments or any other business-critical data and then simultaneously retrieve and filter this information using state-of-the-art similarity search. Our methodology is based on the extended vector space model, with multiple modalities repr
Accelerated biodiversity loss has destabilized functional links within and between ecosystems. Species that cross different ecosystems during migration between breeding and nonbreeding sites are particularly sensitive to global change because they are exposed to various, often ecosystem-specific, threats. Because these threats have lethal and nonlethal effects on populations, many migratory specie
BACKGROUND: The degree to which avian migrants revisit the same sites to replicate routes from previous years has received more and more attention as the possibilities of tracking small to medium-size birds over multiple annual cycles have improved. Repeated measurements of individuals with an appropriate sampling resolution can potentially inform about their navigation and migration strategies an
We propose a novel hybrid approach that integrates Neural Ordinary Differential Equations (NODEs) with Bayesian optimization to address the dynamics and parameter estimation of a modified time-delay-type Susceptible-Infected-Removed (SIR) model incorporating immune memory. This approach leverages a neural network to produce continuous multi-wave infection profiles by learning from both data and th
Ex vivo working porcine heart models allow for the study of a heart’s function and physiology outside the living organism. These models are particularly useful due to the anatomical and physiological similarities between porcine and human hearts, providing an experimental platform to investigate cardiac disease or assess donor heart viability for transplantation. This chapter presents an in-depth
Background: In attention-deficit/hyperactivity disorder (ADHD), poor inhibitory control is one of the main characteristics, with oculomotor inhibition impairments being considered a potential biomarker of the disorder. While auditory white noise has demonstrated the ability to enhance working memory in this group, visual white noise is still unexplored and so are the effects of both types of white
In the realm of cloud computing, the prevalence of intra-phase congestion due to concurrent periodic requests from a multitude of clients frequently results in heightened resource consumption, elongated queuing times, and prolonged response durations. To tackle these challenges, this paper presents a groundbreaking 'Adaptive Out-of-Phase Scheduling' technique, utilizing a server-side PID controlle
Context. TOI-732 is an M dwarf hosting two transiting planets that are located on the two opposite sides of the radius valley. Inferring a reliable demographics for this type of systems is key to understanding their formation and evolution mechanisms. Aims. By doubling the number of available space-based observations and increasing the number of radial velocity (RV) measurements, we aim at refinin
Several stars show deep transits consistent with discs of roughly seen at moderate inclinations, likely surrounding planets on eccentric orbits. We show that this configuration arises naturally as a result of planet-planet scattering when the planets possess satellite systems. Planet-planet scattering explains the orbital eccentricities of the discs' host bodies, while the close encounters during
Laryngeal papilloma (LP) is a rare benign disease, caused by recurrent multisite papillomas that are referred to as recurrent respiratory papillomatosis (RRP). RRP is caused primarily by two types of human papillomavirus (HPV): HPV6 and HPV11. The immune dysregulation within the microenvironment of the lesions has been shown to likely play a role in the development of RRP. The present study aimed
