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TITLE Master’s Dissertation Structural Mechanics Report TV SM -5277 V IK TO R H A LLBEC K R ESPO N SE FO R C ES D U E TO B R EA K IN G W A V ES - A n ap p licatio n o f FE-an alysis o n co astal stru ctu res RESPONSE FORCES DUE TO BREAKING WAVES An application of FE-analysis on coastal structures VIKTOR HALLBECK DEPARTMENT OF CONSTRUCTION SCIENCES DIVISION OF STRUCTURAL MECHANICS ISRN LUTVDG/TVSM-

https://www.byggmek.lth.se/fileadmin/byggnadsmekanik/publications/tvsm5000/web5277.pdf - 2026-06-18

RHI B20 Litteratur

RHI B20 Litteratur RHI B20 Litteraturlista Humaniora och teo log i Centrum fö r teo log i och re l ig ionsvetenskap Litteraturlista för RHI B20 Religionshistoria: Fortsättningskurs, 30 hp, VT13 fastställd av institutionsstyrelsen 2012-12-18 Delkurs 1. Religionsantropologi, 7,5 hp Monografier Bowie, Fiona (2006). The Anthropology of Religion. 2 uppl. Oxford: Blackwell. ISBN: 9781405121057. (332 s.)

https://www.ctr.lu.se/media/utbildning/dokument/kurser/RHIB20/20131/RHI_B20_Litteratur.pdf - 2026-06-19

Methods and devices for providing operational feedback during power transfer in a wireless power transfer system

Disclosed is a method (310) for providing operational feedback during power transfer in a wireless power transfer system. The wireless power transfer system comprises a power transmit device arranged to transfer power over an inductive wireless power transfer interface operating at a transmit frequency to a power receive device. The wireless power transfer system is adapted to transfer information

Roof-glass integrated microstrip antenna for vehicular SDARS applications

In this paper, we propose the design of a roof-glass integrated microstrip antenna for vehicular SDARS tuners. The proposed microstrip antenna is sandwiched inside a multi-layer roof glass and uses a solar-heat reduction coating on the bottom side of the glass as ground plane. To offset the effect of the lossy glass, parasitic elements are added to enhance the antenna gain. Simulation results show

Scalable D-band antenna with coplanar and stacked parasitic elements for low-cost antenna-in-package

The unquenchable thirst for bandwidth to support next-generation wireless systems is increasingly bringing D-band into the spotlight. This work proposes a scalable D-band patch antenna that features both coplanar and stacked parasitic patch structures. By leveraging inter-patch coupling, different coplanar parasitic elements are excited across different frequency bands, enabling multi-mode operati

Design of low-cost sub-THz antennas for distributed deployment in 6G

Although 6G is not only about higher data rates, its envisioned peak data rate of 1 terabits per second requires larger frequency bandwidth than what 5G millimeter wave bands offer. Therefore, new frequency bands have been allocated in the sub-THz range for 6G applications. This paper reviews the concept of distributed deployment to provide coverage in sub-THz bands, focusing on the design and imp

Zero-Forcing MU-MIMO Precoding under Power Amplifier Non-Linearities

In multi-user multiple-input multiple-output (MU-MIMO) systems, the non-linear behavior of the power amplifiers (PAs) may cause degradation of the linear precoding schemes dealing with interference between user equipments (UEs), e.g., the zero-forcing (ZF) precoder. One way to minimize this effect is to use digital-pre-distortion (DPD) modules to linearize the PAs. However, using perfect DPD modul

Analyzing Coverage Probability in Full-Duplex Two-Tier Networks with Offloading and Resource Partitioning

Full-duplex (FD) communication improves spectral efficiency by allowing simultaneous transmission and reception on the same frequency band. This paper analyzes a two-tier network consisting of macrocells and picocells, where base stations (BSs) operate in FD mode while users operate in half-duplex (HD) mode. However, interference remains a major challenge in these systems, significantly impacting

Low Complexity Clipping Distortion Compensation for PAPR Reduction in Massive MIMO-OFDM for Frequency Selective Channels

Massive multiple input, multiple output (MIMO) systems are crucial for enhancing spectral efficiency and link reliability in next-generation wireless communications. However, high Peak-to-Average Power Ratio (PAPR) remains a significant challenge, leading to power inefficiencies and signal distortion. This paper presents a low complexity method for PAPR reduction using hard clipping tailored for f

Activation of regenerative pathways by exercise intervention in subjects with chronic obstructive pulmonary disease : A study protocol

IntroductionAlthough Chronic Obstructive Pulmonary Disease (COPD) is generally considered a progressive condition with limited reversibility, recent data suggests potential for lung function improvement with exercise. Mechanistic insights into exercise-induced benefits remain limited, but in vitro models offer promise for understanding cellular and molecular changes. This study aims to elucidate t

Apalutamide in Patients with High Burden of Metastatic Hormone-sensitive Prostate Cancer : A Subgroup Analysis of TITAN

BACKGROUND AND OBJECTIVE: A post hoc analysis of TITAN evaluated the clinical benefit of apalutamide plus androgen-deprivation therapy (ADT) versus ADT alone in metastatic hormone-sensitive prostate cancer (mHSPC) with high disease burden. METHODS: Patients were assessed in subgroups of those with four to fewer than ten, ten to <20, or ≥20 bone metastases; with lung but not liver metastases; and w

Risk of severe COVID-19 from the Delta and Omicron variants in relation to vaccination status, sex, age and comorbidities - surveillance results from southern Sweden, July 2021 to January 2022

We compared the risk of severe COVID-19 during two periods 2021 and 2022 when Delta and Omicron, respectively, were the dominating virus variants in Scania county, Sweden. We adjusted for differences in sex, age, comorbidities, prior infection and vaccination. Risk of severe disease from Omicron was markedly lower among vaccinated cases. It was also lower among the unvaccinated but remained high (

Initial Case Study Findings for Requirements on Work-Related Health Aspects

Most work implies the use of digital systems and tools, thus, digital technology plays a vital role in modern work environments. Even so, ergonomics and usability of IT systems and digital tools used at work are often weak, which causes work-related health problems including physical, visual, cognitive, and stress-related issues. We pose that one important reason for these types of issues is the l

Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models

This work advances and demonstrates the utility of a reporting framework for collecting and evaluating annotations of medical images used for training and testing artificial intelligence (AI) models in assisting detection and diagnosis. AI has unique reporting requirements, as shown by the AI extensions to the CONSORT (Consolidated Standards of Reporting Trials) and SPIRIT (Standard Protocol Items

Performance of the European Kidney Function Consortium (EKFC) creatinine-based equation in United States cohorts

Estimating glomerular filtration rate (GFR) is important in daily practice to assess kidney function and adapting the best clinical care of patients with and without chronic kidney disease. The new creatinine-based European Kidney Function Consortium (EKFC) equation is used to estimate GFR. This equation was developed and validated mainly in European individuals and based on a rescaled creatinine,

BeBOP-Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks

Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned manually, the current, faster transition times call for robust, modular and interpretable solutions that also allow a robotic system to learn how to perform a task. We propose the method Behavior-based Bayesian Optimizatio

Adaptable Recovery Behaviors in Robotics : A Behavior Trees and Motion Generators (BTMG) Approach for Failure Management

In dynamic operational environments, particularly in collaborative robotics, the inevitability of failures necessitates robust and adaptable recovery strategies. Traditional automated recovery strategies, while effective for predefined scenarios, often lack the flexibility required for on-the-fly task management and adaptation to expected failures. Addressing this gap, we propose a novel approach

Impact of antenna pattern directivity on near-field focusing of planar array in large intelligent surface applications

Near-field focusing (NFF) is a fundamental enabler for a broad spectrum of applications utilizing large intelligent surfaces (LIS) within sub-10 GHz frequency bands. This paper investigates the impact of element pattern on NFF properties, when the LIS array is a large planar array. The NFF properties of maximum received power, focal width, and focal depth are analyzed for three typical antenna pat