Search results

Filter

Filetype

Your search for "Buy fc coins Buyfc26coins.com is EA Sports official for FC 26 coins The process was smooth and quick..kQ4F" yielded 79616 hits

Scattering computations using a rotationally symmetric solver implemented in open source finite elements

We summarize the theory and implementation of an open source solver for rotationally symmetric scatterers. The purpose of the code is to compute reference solutions for electrically large radome problems. The rotational symmetry decouples the azimuthal modes, enabling the three-dimensional problem to be broken down into a sequence of decoupled two-dimensional problems which require much less memor

Ecology and sexual conflict drive the macroevolutionary dynamics of female-limited color polymorphisms in damselflies

Sexual conflict over mating has been documented in many species, both in the field and in experimental studies. In pond damselflies (family Coenagrionidae), sexual conflict maintains female-limited color polymorphisms, with one female morph typically being a male mimic. However, it is not known whether sexual conflict can also explain the evolutionary origin of novel female morphs, and if so, what

Extended Collective Licensing for Use of Copyrighted Works for Machine Learning

The fast development of generative artificial intelligence (“AI”) services—such as ChatGPT, Midjourney, Dall-E—have within a short period of time gained immense uptake and popularity. At the same time, such services have given rise to fundamental challenges from a copyright perspective. Court proceedings have been initiated in many jurisdictions on the compatibility of such services with copyright

Structure-From-Motion with a Non-Parametric Camera Model

In this paper, we present a new generic Structure-From-Motion pipeline, GenSfM, that uses a non-parametric camera projection model. The model is self-calibrated during the reconstruction process and can fit a wide variety of cameras, ranging from simple low-distortion pinhole cameras to more extreme optical systems such as fisheye or catadioptric cameras. The key component in our framework is an a

Student usage of Lund University Pole-Zero Explorer interactive tool in automatic control teaching

This study examines the effectiveness of LU-PZE, a web-based interactive tool designed to help students visualize and interact with fundamental concepts in automatic control. A total of 200 students enrolled in an introductory course on automatic control had the option to use LU-PZE as an additional resource for learning. LU-PZE offers users randomized quizzes, structured assignments, and real-tim

On Time-Interleaving Errors in Beamforming Receivers

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

Genomic Insights Into Species Delimitation and the Evolutionary History of Mimetic Aletis Moths (Lepidoptera, Geometridae) in the Afrotropics

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

Age Differences in AI Usage and Confidence

Examensarbetets titel: Åldersskillnader i användning av AI och självförtroende. Seminariedatum: 15 januari 2026 Ämne/kurs: FEKH38, Examensarbete i Business and Data Analytics, 15 ECTS Författare: Axel Zetterman, Emanuel Evers, William Pagel Handledare: Magnus Johansson Nyckelord: Artificiell intelligens (AI), Organisationer, Åldersskillnader, Förtroende, Dunning-Kruger-effekten. Forskningsfråga: HTitle: Age Differences in AI Usage and Confidence Seminar date: 15 January 2026 Course: FEKH38, Degree Project, Undergraduate level, Business Administration, Undergraduate level, 15 ECTS Authors: Axel Zetterman, Emanuel Evers, William Pagel Advisor: Magnus Johansson Keywords: Artificial intelligence (AI), Organizations, Age differences, Confidence, Dunning-Kruger effect. Research question: How doe

Revisiting evolutionary rate–time relationships

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

Spur Analysis and Linearity Enhancement in Fractional-N Phase Locked Loops Through Parallel Sigma–Delta Modulators With Time Offsets

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

Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays

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

Discrete-time neural Markov models

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

Learning covariate relations in disease progression models using symbolic neural networks

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

Robust & Optimal Control of Mass-Spring Networks : with Power System Applications

Electric power systems are undergoing significant transformations as more sectors in society are electrified and new electric power generation from solar and wind is added to the grid. The growing share of renewable generation is expected to influence the dynamic behaviour of power systems, creating a need to develop new control strategies for power systems. This thesis investigates robust and opt

Three-dimensional in situ imaging of single-grain growth in polycrystalline In2O3:Zr films

Strain and interactions at grain boundaries during solid-phase crystallization are known to play a significant role in the functional properties of polycrystalline materials. However, elucidating three-dimensional nanoscale grain morphology, kinetics, and strain under realistic conditions is challenging. Here, we image a single-grain growth during the amorphous-to-polycrystalline transition in tec