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Local Routing in Sparse and Lightweight Geometric Graphs

Online routing in a planar embedded graph is central to a number of fields and has been studied extensively in the literature. For most planar graphs no O(1)-competitive online routing algorithm exists. A notable exception is the Delaunay triangulation for which Bose and Morin (SIAM J Comput 33(4):937–951, 2004) showed that there exists an online routing algorithm that is O(1)-competitive. However

Pore-scale study of two-phase flow in the gas diffusion layer of proton exchange membrane fuel cells : The impact of polytetrafluoroethylene content and gradient distribution

The polytetrafluoroethylene (PTFE) is commonly used to improve the hydrophobic of the gas diffusion layer (GDL). In this study, impacts of PTFE content and piecewise/linear gradient distributions on the transport behavior of liquid water were numerically studied by using a multiphase lattice Boltzmann method. A two-dimensional microstructure of the GDL was reconstructed by stochastic algorithm. Th

A Generalized Methodology for Health Index Calculation for PMSM Drive System

This paper mainly discussed the motor and converters' health indexing. The health index gives the idea about the present condition or age compared to the healthy system. The objective of this paper is to present the health index (HI) calculation method for PMSM and converters to identify the real-time health of the device. There are many articles available for the transformer health index calculat

Modeling cancer’s ecological and evolutionary dynamics

In this didactic paper, we present a theoretical modeling framework, called the G-function, that integrates both the ecology and evolution of cancer to understand oncogenesis. The G-function has been used in evolutionary ecology, but has not been widely applied to problems in cancer. Here, we build the G-function framework from fundamental Darwinian principles and discuss how cancer can be seen th

Conflict simulation for shared autonomy in autonomous driving

We present a tool for modeling conflict situations that enables simulation and testing of situation awareness in shared autonomy, in this case in an autonomous driving scenario. The flexibility of the tool allows definition of new conflict situations, integration with various control and conflict detection systems, as well as customization of Takeover Request (TOR) signals and different means of c

Monte Carlo dosimetry for a EURADOS WG 10 and RENEB field test of retrospective dosimetry techniques in realistic exposure scenarios

Computational dosimetry using Monte Carlo radiation transport simulations was applied for the 2019 European Radiation Dosimetry Group (EURADOS) and Running the European Network of Biological and retrospective Physical dosimetry (RENEB) field test, an exercise of retrospective dosimetry techniques for a realistic small-scale radiological accident. The simulations were performed at four institutes,

The promise of community-driven preprints in ecology and evolution

Publishing preprints is quickly becoming commonplace in ecology and evolutionary biology. Preprints can facilitate the rapid sharing of scientific knowledge establishing precedence and enabling feedback from the research community before peer review. Yet, significant barriers to preprint use exist, including language barriers, a lack of understanding about the benefits of preprints and a lack of d

Positive Network Systems : Heuristic Methods and Opinion Dynamics

The analysis of interconnected systems is a large and growing field, with successful applications in a wide range of natural and synthesized systems. Biomolecular networks, power grids and human social dynamics have all been the subject of study through the lens of network dynamics, with impressive results. The work presented in this thesis takes the form of four research papers all focusing in di

Bridgeless AC-DC buck-boost converter with switched capacitor for low power applications

AC-DC converters are mostly used as power supplies for microelectronic systems, battery chargers, wind energy applications, electric appliances in household and dc motor drives. Switched-capacitor (SC) network based converters can be good solution to the challenges of 21st century having high voltage conversion ratio and low EMI emissions. The application of this type of converters is in microproc

Rapid Acquisition of X-Ray Scattering Data from Droplet-Encapsulated Protein Systems

Encapsulating reacting biological or chemical samples in microfluidic droplets has the great advantage over single-phase flows of providing separate reaction compartments. These compartments can be filled in a combinatoric way and prevent the sample from adsorbing to the channel walls. In recent years, small-angle X-ray scattering (SAXS) in combination with microfluidics has evolved as a nanoscale

Multiparticle integral and differential correlation functions

This paper formalizes the use of integral and differential cumulants for measurements of multiparticle event-by-event transverse momentum fluctuations, rapidity fluctuations, as well as net-charge fluctuations. This enables the introduction of multiparticle balance functions, defined based on differential correlation functions (factorial cumulants), that suppress two- and three-prong resonance dec

Simultaneous energy and mass calibration of large-radius jets with the ATLAS detector using a deep neural network

The energy and mass measurements of jets are crucial tasks for the Large Hadron Collider experiments. This paper presents a new calibration method to simultaneously calibrate these quantities for large-radius jets measured with the ATLAS detector using a deep neural network (DNN). To address the specificities of the calibration problem, special loss functions and training procedures are employed,

How many interactions does it take to modify a jet

It is a continued open question how there can be an azimuthal anisotropy of high particles quantified by a sizable in p+Pb collisions when, at the same time, the nuclear modification factor is consistent with unity. We address this puzzle within the framework of the jet quenching model \textsc{Jewel}. In the absence of reliable medium models for small collision systems we use the number of scatter

The Shadow Communication Model

Title: The Shadow Communication Model Seminar date: 2025-10-17 Course: Strategic Brand Management Authors: William Eriksson, Saga Nunstedt Strömberg, Ole Senkler Advisor: Mats Urde Keywords: Shadow message / Noise / Shannon Weaver / Semiotics / The Shadow Communication Model Research question: How do companies express shadow messaging in their advertisements, and in what ways does external n

Electron and photon efficiencies in LHC Run 2 with the ATLAS experiment

Precision measurements of electron reconstruction, identification, and isolation efficiencies and photon identification efficiencies are presented. They use the full Run 2 data sample collected by the ATLAS experiment in pp collisions at a centre-of-mass energy of 13 TeV during the years 2015–2018, corresponding to an integrated luminosity of 139 fb−1. The measured electron identification efficien

Roadmap to the study of gene and protein phylogeny and evolution—A practical guide

Developments in sequencing technologies and the sequencing of an ever-increasing number of genomes have revolutionised studies of biodiversity and organismal evolution. This accumulation of data has been paralleled by the creation of numerous public biological databases through which the scientific community can mine the sequences and annotations of genomes, transcriptomes, and proteomes of multip

Accounting for nonvanishing net-charge with unified balance functions

The use of charge balance functions in heavy-ion collision studies was initially proposed as a probe of delayed hadronization and two-stage quark production in these collisions. It later emerged that general balance functions can also serve as a probe of the diffusivity of light quarks as well as the evolution of the systems formed in heavy-ion collisions. In this work, we reexamine the formulatio

First-time mothers' satisfaction with their birth experience : a cross-sectional study

Objective: To explore first-time mothers´satisfaction with their birth experience using Visual Analog Scale and to identify possible risk factors for a negative birth experience.Design: A cross-sectional design using retrospective data collection from electronic medical files.Setting: A birthing center in southern Sweden, which has approximately 1400 births annually.Participants: Primiparous women