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Deep learning prediction models based on EHR trajectories : A systematic review

BACKGROUND: Electronic health records (EHRs) are generated at an ever-increasing rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients' future health-related risks. It enables healthcare systems to increase the quality of care through early identification and primary prevention. Deep learning techniques have shown great capacity for analyzing complex data an

Tumour origin, diagnostic accuracy and histopathological evaluation in patients with periampullary cancer : nationwide cohort study

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

Impact of ground plane scattering on performance of reconfigurable intelligent surface

Reconfigurable intelligent surfaces (RISs) are being considered for 6G as they can facilitate favourable radio channels. To rigorously model the characteristics of an array antenna-based RIS, this paper proposes an approach to separately evaluatescatterings from the antenna elements and ground plane of RIS. Simulation results show that, depending on the absolute phases of variable loads in the RIS

Impact of Array Configuration on Head-Mounted Display Performance at mm Wave Bands

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

A Modular System-level Testbench for 6G Beamforming Applications with Near Circuit-Level Fidelity

Sub-THz frequencies are tomorrow's hot research area in mobile communication. However, in this range of frequencies the systems are complex, and it is hard to explore various system architectures and correlate the system-level solutions with circuit-level performances and requirements. This paper presents a scalable testbench in MATLAB/Simulink for sub-THz hybrid beamforming receivers. The testben

An LO phase shifter with frequency tripling and phase detection in 28 nm FD-SOI CMOS for mm-wave 5G transceivers

This paper presents an LO phase shifter with frequency tripling for 28-GHz 5G transceivers. The phase shifting and frequency tripling are achieved using an injection-locked oscillator and injection-locked frequency tripler, respectively. A phase detector based on third harmonic mixing is also implemented and is used to detect the applied phase shift, supporting automatic calibration of the phase s

Evolvability predicts macroevolution under fluctuating selection

Heritable variation is a prerequisite for evolutionary change, but the relevance of genetic constraints on macroevolutionary timescales is debated. By using two datasets on fossil and contemporary taxa, we show that evolutionary divergence among populations, and to a lesser extent among species, increases with microevolutionary evolvability. We evaluate and reject several hypotheses to explain thi

Neural mechanisms of episodic memory formation revealed by EEG frequency tagging

Episodic memory formation entails the integration of diverse elements such as people, places, and objects. This process, known as binding, creates a unified memory trace that the brain maintains and retrieves as a coherent representation of the episode. Despite extensive research, the precise neural mechanisms underlying this binding process are still not fully understood. We hypothesized that the

A Fast Rotating-Mirror Sounder for Dynamic Millimeter-Wave Channel Characterization

A deep understanding of double-directional wireless channels is imperative for wireless system design. This necessitates the development of precise channel models through channel sounding. Given the dynamic nature of wireless channels, a short measurement time is highly desirable. In this paper, we present and validate a dual-polarized millimeter-wave channel sounder that uses a rotating mirror me

Tropical Origin, Global Diversification, and Dispersal in the Pond Damselflies (Coenagrionoidea) Revealed by a New Molecular Phylogeny

The processes responsible for the formation of Earth's most conspicuous diversity pattern, the latitudinal diversity gradient (LDG), remain unexplored for many clades in the Tree of Life. Here, we present a densely sampled and dated molecular phylogeny for the most speciose clade of damselflies worldwide (Odonata: Coenagrionoidea) and investigate the role of time, macroevolutionary processes, and

Automatic Control of a Wheelchair Using a Brain Computer Interface and Real-Time Decision-Making

In this study, we simulate the automatic control of an electric wheelchair for indoor Pac-Man-style navigation using solely thought commands. We delve into the decision-making mechanisms of an operational EEG-based brain computer interface that employs a visual oddball paradigm. We investigate strategies to enhance the efficiency of decision-making processes, aiming to accelerate response times wh

Comparative Analysis of Pharmacokinetic-Pharmacodynamic Models for Propofol and Remifentanil Using Model Predictive Control

This study aims to compare the effectiveness of different Pharmacokinetic-Pharmacodynamic (PK-PD) models for administering Propofol and Remifentanil, two critical agents in anesthesia. Initially, different PK models were introduced: one for Propofol based on the Schnider model and another for Remifentanil using the Minto model. Alternatively, both drugs were modeled using the Eleveld models. The P

Threats to Validity in Software Engineering – hypocritical paper section or essential analysis?

Background: In recent years, a discourse on how to systematically consider and report threats to validity started to gain momentum within the empirical software engineering community. Aims: With this study, we aim to systematically underpin the current state of threats to validity practices in software engineering research. Method: We conduct a literature review comprising 91 papers awarded with t

Effect of coplanar waveguide feedline on car roof-glass integrated GNSS antenna performance

An extension of the feedline is often needed when an antenna is integrated with the roof glass of a car. How much the extension affects the antenna performance depends on the type of antenna and feedline used. This paper studies the effects of coplanar waveguide feedline extension on the performance of a circularly-polarized square slot antenna. Simulation results show a general decrease in the an

Experimentation in Early-Stage Video Game Startups : Practices and Challenges

Experimentation has been considered critical for successful software product and business development, including in video game startups. Video game startups need “wow” qualities that distinguish them from the competition. Thus, they need to continuously experiment to find these qualities before running out of time and resources. In this study, we aimed to explore how these companies perform experi

Roof-glass integrated antenna for vehicular GNSS applications

In this paper, a wideband circularly polarized antenna is designed for integration into the glass roof of a modern car for GNSS positioning applications. Characteristic mode analysis is used to obtain more physical insight into the problem and hence satisfy the polarization and bandwidth requirements. The antenna has a low profile and uses a single coplanar waveguide feed to cover all GNSS bands.

Enabling Data-sharing in Logistics through Open Data Ecosystems – A Literature Review

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

Wiometrics : Comparative Performance of Artificial Neural Networks for Wireless Navigation

Radio signals are used broadly as navigation aids, and current and future terrestrial wireless communication systems have properties that make their dual-use for this purpose attractive. Sub-6 GHz carrier frequencies enable widespread coverage for data communication and navigation, but typically offer smaller bandwidths and limited resolution for precise estimation of geometries, particularly in e