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QUIC is a UDP-based transport layer protocol developed by Google that boasts lower latency performance than TCP. However, different conclusions have been reported regarding its performance due to variations in targeted applications and experimental setups. This leads to our conclusion that protocol performance evaluation should be heavily dependent on the QoS requirements of the target application
This article presents a fully integrated millimeter-wave (mmW) transceiver front end covering 24.25–29.5 GHz. It features a wideband Doherty power amplifier utilizing adaptive bias and a transmit/receive switch (TRX-switch) that has embedded low noise amplifier to antenna matching. The phase shift of 90
Background: Impaired social cognition (SC) occurs frequently in schizophrenia (SCZ), yet compared to autism spectrum disorder (ASD), the research on SC in SCZ is sparse and methodologically heterogeneous. To accurately assess between-group SC differences it is further necessary to establish the relationship between nonsocial cognition (NSC) and SC, particularly as this may not be identical across
Immersing a user in life-like extended reality (XR) scenery using a head-mounted display (HMD) with a constrained form factor and hardware complexity requires remote rendering on a nearby edge server or computer. Millimeter-wave (mmWave) communication technology can provide sufficient data rate for wireless XR content transmission. However, mmWave channels exhibit severe sparsity in the angular do
Background: The prevalence of different periampullary cancers (pancreatic ductal adenocarcinoma, distal cholangiocarcinoma, ampullary cancer and duodenal cancer) is heterogeneous in the literature. During the 2010s, a standardized histopathological protocol for pancreatoduodenectomy specimens based on axial slicing was adopted in Sweden. The present study sought to provide information about periam
The geometry-based stochastic channel models (GSCM), which can describe realistic channel impulse responses, often rely on the existence of both local and far scatterers. However, their visibility from both the base station (BS) and mobile station (MS) depends on their relative heights and positions. For example, the condition of visibility of a scatterer from the perspective of a BS is different
This paper presents a 4-channel time-interleaved (TI) analog-to-digital converter (ADC), where each channel is comprised of a two-stage pipelined asynchronous successive-approximation (ASAR) sub-ADC. The ADC employs two samplers to alleviate the problem of timing skew on the sub-sampler when distributing the clock to the TI channels. To further increase the speed of the ADC, the reset switch in th
This paper presents an injection-locked frequency tripler for 28-GHz direct-conversion transceivers, which takes a differential input and outputs a quadrature signal. A feedback system is added to ensure that lock occurs and to keep the quadrature error below 1° across operating frequencies and process corners. Simulations show that the tripler can cover the entire 24-30 GHz band across all corner
In this eighth edition of the Excellent MSc Dissertation series, five students present condensed versions of their Master’s theses, completed for the MSc degree in Media and Communication Studies at Lund University. These students presented their dissertations in May 2023 and earned the highest mark. During the Fall of 2023, the dissertations were revised to a shorter length of 14,000 words for pu
Introduction: A blood-based biomarker (BBBM) test could help to better stratify patients with traumatic brain injury (TBI), reduce unnecessary imaging, to detect and treat secondary insults, predict outcomes, and monitor treatment effects and quality of care. Research question: What evidence is available for clinical applications of BBBMs in TBI and how to advance this field? Material and methods:
mmWave communication has come up as the unexplored spectrum for 5G services. With new standards for 5G NR positioning, more off-the-shelf platforms and algorithms are needed to perform indoor positioning. An object can be accurately positioned in a room either by using an angle and a delay estimate or two angle estimates or three delay estimates. We propose an algorithm to jointly estimate the ang
The Artificial Intelligence (AI) Act is a relatively new regulation set out in the European Union (EU). It lays out various requirements for AI systems that are placed on the market in the EU. This paper provides a critical and differentiated view of its requirements from a software engineering perspective. A detailed analysis of the legal document shows what requirements are set out for different
Distributed multiple-input multiple-output (MIMO), also known as cell-free massive MIMO, has emerged as a promising technology for sixth-generation (6G) wireless networks. This letter introduces an indoor channel measurement campaign designed to explore the behavior of multipath components (MPCs) in distributed MIMO channels. Fully coherent channels were measured between eight distributed uniform
As a crucial tool for enhancing the readability and comprehensibility of geoinformation, automated label placement in mapping applications remains a significant challenge, particularly when generalizing the label placement process for high-density maps, despite the availability of tools such as QGIS-PAL and ArcGIS-Maplex label engine. This study focuses on utilizing deep learning (DL) for road lab
Background: Markov models are models used to describe movement of individuals between states. In medicine, Markov models are used to describe, for example, disease progression and the effects of interventions on such progression. The models can further be used to identify medical risk groups and aid clinicians in clinical decision making. Although accurate individual predictions are crucial for ut
Covariate modeling provides individual predictions of outcomes by disease progression models. Current methodology for mapping covariates onto model parameters is limited by predefined parametric functions which can result in inadequate covariate selection and biased predictions by the final model. Furthermore, present methodology scales poorly to high-dimensional data due to combinatorial limitati
Comparison of ROS production of individual particle components from traffic-related sources can inform new health policies and emissions legislation. This work aims to quantify acellular ROS production and oxidative potential (OP) of such individual particle components from combustion, brake, tire, and road wear. Particle characteristics are probed to identify source-specific markers and improve t
Time-interleaved ADCs are a key building block in mm-wave receivers, where the use of multi-GHz signal bandwidths requires high-performance wide-band data conversion. It is therefore necessary to explore the beamforming receiver system impact of different time-interleaved ADC parameters and limitations, such as number of interleaved channels, mismatches between channels, non-idealities of the subA
Purpose: To avoid over-treatment of prostate cancer patients following screening for elevated prostate-specific antigen levels, keeping patients on active surveillance has been suggested as an alternative to radical treatment. This means recurring visits for patients with low-grade cancer to monitor progression. Our aim was to develop an artificial intelligence-based model that can identify high-r
Rates of molecular, phenotypic, and lineage diversification typically scale negatively with time interval of measurement, raising longstanding questions about time-dependency of evolutionary processes. These patterns and their potential meaning have recently re-entered evolutionary discussions. In this Perspective, we revisit the general challenges in interpreting rate–time relationships. Much app
