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Distributed massive multiple-input multiple-output (D-MIMO) has been identified as a promising technology to meet the service requirements of 6 G wireless networks and beyond. The coordination between a massive number of distributed antennas introduces stiff challenges and requires a substantial amount of computing resources that must be put together with careful algorithm-architecture codesign. T
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
Industry 4.0, with its focus on flexibility and customizability, is pushing in the direction of wireless communication in future smart factories, in particular, massive multiple-input-multiple-output (MIMO) and its future evolution of large intelligent surfaces (LIS), which provide more reliable channel quality than previous technologies. At the same time, network slicing in 5G and beyond systems
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
ObjectiveTo provide the most up-to-date data on the burden of malignant mesothelioma (MM) and the projections through 2029 in China.MethodsData on patients diagnosed with MM from China during 1990-2019 were obtained from the Global Burden of Disease (GBD) 2019 database, including annual cases and deaths data and age-standardized rates of incidence, mortality, and disability-adjusted life-years (DA
With the dynamic nature of modern software development and operations environments and the increasing complexity of cloud-based software systems, traditional monitoring practices are often insufficient to timely identify and handle unexpected operational failures. To address these challenges, this paper presents the findings from a quantitative industry survey focused on the application of Machine
Background: Road transportation is one of the main sources of CO2 emissions. Making logistics more efficient, e.g., through co-loading freight transport, would reduce emissions. However, this requires the sharing of freight and routing data between actors in the logistics chain. Aim: This study aims to explore the literature on how Open Data Ecosystems (ODEs) can be applied to the logistics sector
Decentralized Cloud Storage (DCS) is considered to be the future for sustainable data storage within Web 3.0, in which we will move from a single cloud service provider to creating an ecosystem where anybody could be a cloud storage provider. Currently, the cloud storage market is highly dominated by centralized players like Amazon S3, Google Cloud, Box, etc. Decentralized projects like Storj, Fil
Shear forces affect self-assembly processes ranging from crystallization to fiber formation. Here, the effect of mild agitation on amyloid fibril formation was explored for four peptides and investigated in detail for Aβ42, which is associated with Alzheimer's disease. To gain mechanistic insights into the effect of mild agitation, nonseeded and seeded aggregation reactions were set up at various
[Context] The continuous inflow of bug reports is a considerable challenge in large development projects. Inspired by contemporary work on mining software repositories, we designed a prototype bug assignment solution based on machine learning in 2011-2016. The prototype evolved into an internal Ericsson product, TRR, in 2017-2018. TRR’s first bug assignment without human intervention happened in A
Businesses across different areas of interest are increasingly depending on data, particularly for machine learning (ML) applications. To ensure data provisioning, inter-organizational data sharing is proposed, e.g. in the form of data ecosystems. The aim of this study was to perform an exploratory investigation into the data sharing practices that exist in business-to-business (B2B) and business-
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
Anterior cruciate ligament (ACL) trauma often occurs in combination with injury to the articular cartilage of the knee, this can result in earlier radiographic evidence of post traumatic osteoarthritis (OA) of the knee compared to the contralateral, ACL intact knee; however, the biomechanical and biological mechanisms associated with the onset and progression of this disease are not understood. We
OBJECTIVE: The aim of this study was to investigate the effect of epidermal growth factor receptor (EGFR) blockade on cell survival and on downstream signalling pathways using the monoclonal antibody cetuximab. METHODS: We used three colon cancer cell lines, of which one was EGFR-negative, and two head and neck squamous cell carcinoma (HNSCC) lines. EGFR expression and gene copy number were measur
It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-of-distibution detector. A small-scale study is conducted which shows that adapting camera parameters according to this out-of-distibution detector leads to an average increase of 3 to 4% poin
Aims/hypothesis: Islet autoimmunity may progress to adult-onset diabetes. We investigated whether circulating odd-chain fatty acids (OCFA) 15:0 and 17:0, which are inversely associated with type 2 diabetes, interact with autoantibodies against GAD65 (GAD65Ab) on the incidence of adult-onset diabetes. Methods: We used the European EPIC-InterAct case–cohort study including 11,124 incident adult-onse
The ubiquitous deployment of artificial intelligence (AI) technologies affects an array of human rights, raising concerns around issues of discrimination, privacy, freedom of expression, information and data protection. However, just as regulators and policy-makers call for technological design to respect existing human rights, others debate whether human rights are robust enough to counter new ch
Context: In the contemporary body of software engineering literature, some recurrent shortcomings characterize how threats to validity (TTV) are considered in studies. Objective: With this position paper, we aim to open a discourse on the current use of TTV sections. The goal of our position is to jointly reflect and systematically improve how we, as a research community, consider TTV in our studi
Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving ‘assertions’ in software testing. Based on a term–based search, we filtered the inclusion of relevant papers and synthesised them w.r.t. the problem addressed, the s
Cloud Control Systems (CCSs) harness the power of cloud resources to carry out intense computational tasks, however, they face challenges in delivering time-critical control signals due to network and cloud-induced delays. In this paper, we introduce a novel framework, "Punctual Cloud", designed to enhance the timely delivery of control signals in CCS. This framework ensures that control signals a
