Search results

The Polarization and Impedance Controlled Car (PICC) presents an innovative approach for demonstrating and teaching key principles of electromagnetic field theory, specifically polarization and impedance. Designed as an interactive learning tool, the PICC utilizes a radio-controlled car, NanoVNA, Raspberry Pi, and handheld antennas to visualize real-time effects of polarization and impedance. The

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

The evolutionary dynamics of diurnal Aletis moths (Lepidoptera: Geometridae: Sterrhinae) in the Afrotropics have been obscured by their allopatric distributions, significant inter- and intraspecific variation in adult and caterpillar phenotypes, and involvement in complex mimicry systems. Extensive phenotypic disparity, alongside conserved genital morphology and a lack of suitable material for gen

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

This article presents a theoretical framework for deriving simple analytical expressions for spurs resulting from second and third order nonlinearities in fractional-N phase locked loops (PLL). Furthermore, a previously proposed linearization technique where several sigma-delta modulators (SDMs) operate in parallel with relative time offsets between them, is further analyzed using the periodic non

In this paper, we consider near-field localization and sensing with an extremely large aperture array under partial blockage of array antennas, where spherical wavefront and spatial non-stationarity are accounted for. We propose an Ising model to characterize the clustered sparsity feature of the blockage pattern, develop an algorithm based on alternating optimization for joint channel parameter e

Colloidal all-inorganic perovskite nanocrystals have gained significant attention as a promising material for both fundamental and applied research due to their excellent emission properties. However, reported photoluminescence quantum yields (PL QYs) of blue-emitting perovskite nanocrystals are rather low, mostly due to the fact that the high energy excitons for such wide bandgap materials are e

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

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

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 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

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

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

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