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SIMM27 FINAL 220120

SIMM27 FINAL 220120 1 GRADUATE SCHOOL METHODS COURSES SIMM27 Methods of Text and Discourse Analysis Version 1.0 – Spring 2022 SPRING 2022 2 1. WELCOME SIMM27 METHODS OF TEXT AND DISCOURSE ANALYSIS Contact info Graduate School e-mail: master@sam.lu.se Home page: graduateschool.sam.lu.se Facebook: tinyurl.com/LUgradschoolFB Student Union Home page: samvetet.org Lund University Home page: http://lund

https://www.graduateschool.sam.lu.se/sites/graduateschool.sam.lu.se/files/2022-02/SIMM27%20FINAL%20220120.pdf - 2026-05-26

A SVD-based classification of bird singing in different time-frequency domains using multitapers

In this paper, a novel method for analysing a bird’s song is presented. The song of male great reed warblers is used for developing and testing the methods. A robust method for detecting syllables is proposed and a classification of those syllables as compared to reference syllables is done. The extraction of classification features are based on the use of singular vectors in different time-freque

Automated analysis of song structure in complex birdsongs

Understanding communication and signalling has long been strived for in studies of animal behaviour. Many songbirds have a variable and complex song, closely connected to territory defence and reproductive success. However, the quantification of such variable song is challenging. In this paper, we present a novel, automated method for detection and classification of syllables in birdsong. The meth

Conformation- and phosphorylation-dependent electron tunnelling across self-assembled monolayers of tau peptides

We report on charge transport across self-assembled monolayers (SAMs) of short tau peptides by probing the electron tunneling rates and quantum mechanical simulation. We measured the electron tunneling rates across SAMs of carboxyl-terminated linker molecules (C6H12O2S) and short cis-tau (CT) and trans-tau (TT) peptides, supported on template-stripped gold (AuTS) bottom electrode, with Eutectic Ga

Robust analysis of uncertainty in scientific assessments

Uncertainty refers to any limitation in knowledge. Identifying and characterizing uncertainty in conclusions is important to ensure transparency and avoid over or under confidence in scientific assessments. Quantitative expressions of uncertainty are less ambiguous compared to uncertainty expressed qualitatively, or not at all. Subjective probability is an example of a quantitative expression of e

Design of robust 2,2′-bipyridine ligand linkers for the stable immobilization of molecular catalysts on silicon(111) surfaces

The attachment of the 2,2′-bipyridine (bpy) moieties to the surface of planar silicon(111) (photo)electrodes was investigated usingab initiosimulations performed on a new cluster model for methyl-terminated silicon. Density functional theory (B3LYP) with implicit solvation techniques indicated that adventitious chlorine atoms, when present in the organic linker backbone, led to instability at very

14.7% Efficiency Organic Photovoltaic Cells Enabled by Active Materials with a Large Electrostatic Potential Difference

Although significant improvements have been achieved for organic photovoltaic cells (OPVs), the top-performing devices still show power conversion efficiencies far behind those of commercialized solar cells. One of the main reasons is the large driving force required for separating electron-hole pairs. Here, we demonstrate an efficiency of 14.7% in the single-junction OPV by using a new polymer do

The Swedish Neonatal Quality Register – contents, completeness and validity

Aim: To describe the Swedish Neonatal Quality Register (SNQ) and to determine its completeness and agreement with other registers. Methods: SNQ collects data for infants admitted to neonatal units during the first four postnatal weeks. Completeness and registers’ agreement were determined cross-linking SNQ data with Swedish population registers (the Inpatient, Medical Birth and Cause of Death Regi

Maternal age and risk of cesarean section in women with induced labor at term—A Nordic register-based study

Introduction: Over the last decades, induction of labor has increased in many countries along with increasing maternal age. We assessed the effects of maternal age and labor induction on cesarean section at term among nulliparous and multiparous women without previous cesarean section. Material and methods: We performed a retrospective national registry-based study from Denmark, Finland, Iceland,

Welcome to the Fifth International Workshop on Requirements Engineering for Well-Being, Aging, and Health

Welcome to the fifth edition of the REWBAH workshop, a satellite event of the IEEE International Requirements Engineering Conference (RE). The REWBAH workshop fosters discussion related to requirements engineering resulting from the need to build software systems that not only support healthcare, but also promote well-being, encourage patients and the population in general to live according to hea

Hybrid Precoder Design for Angle-of-Departure Estimation with Limited-Resolution Phase Shifters

Hybrid analog-digital beamforming stands out as a key enabler for future communication systems with a massive number of antennas. In this paper, we investigate the hybrid precoder design problem for angle-of-departure (AoD) estimation, where we take into account the practical constraint on the limited resolution of phase shifters. Our goal is to design a radio-frequency (RF) precoder and a base-ba

Software Component Update for IoT Systems

Frequent updates in IoT software are crucial for fixing security vulnerabilities, correcting bugs, and adding new features. However, for systems comprising geographically distributed devices, implementing updates is challenging. Such updates must be coordinated across multiple devices, automated without end-user involvement, adaptable to weak connectivity, and minimally disruptive to end users. In

Performance bounds for multi-vehicle networks with local integrators

In this work, we consider the problem of coordinating a collection of nth-order integrator systems. The coordination is achieved through the novel serial consensus design; this control design achieves a stable closed-loop system while adhering to the constraint of only using local and relative measurements. Earlier work has shown that second-order serial consensus can stabilize a collection of dou

A GENERAL FRAMEWORK FOR USER-GUIDED BAYESIAN OPTIMIZATION

The optimization of expensive-to-evaluate black-box functions is prevalent in various scientific disciplines. Bayesian optimization is an automatic, general and sample-efficient method to solve these problems with minimal knowledge of the underlying function dynamics. However, the ability of Bayesian optimization to incorporate prior knowledge or beliefs about the function at hand in order to acce

Automated Log Message Embeddings

System logs are crucial for understanding the state and health of systems, yet manual inspection becomes impractical due to the high volume of messages. Consequently, machine learning-based log anomaly detection has emerged to automatically identify irregularities. This study investigates the effectiveness of log message embeddings, a novel parsing method, for anomaly detection in complex systems.

Radiation Efficiency and Gain Bounds for Microstrip Patch Antennas

This paper presents bounds on radiation efficiency and gain for microstrip patch antennas, demonstrating close alignment with the performance of classic antenna designs. These bounds serve as effective benchmarks for assessing antenna performance and evaluating trade-offs and design feasibility. The study particularly addresses the trade-off between miniaturization and performance by comparing bou

Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles With Lightweight Authentication

The Internet of Things (IoT) can be defined as the network of physical objects, or "things,"embedded with sensors and software for processing and exchanging data with other devices and ecosystems using the Internet as a medium. With its rapid growth over the past decade, it has permeated several application domains, including intelligent vehicular systems. The Internet of Autonomous Vehicles (IoAV

A Novel Decentralized Leader–follower Control Scheme for Centroid and Formation Tracking

This paper deals with the centroid and formation control problem of multi–agent robotic systems. The proposed solution is based on a leader–follower scheme, where only a subset of agents, i.e., the leaders, knows the desired trajectories for the centroid and the formation of the system, while the other agents, i.e., the followers, are required to estimate them through a dynamic consensus scheme. T