Structural Health Monitoring (SHM) plays a vital role in maintaining the integrity of structures by providing continuous information about damage or anomalies. Vibration-based SHM, which focuses on the dynamic behavior of structures, offers insights into structural conditions through changes in dynamic properties. Among SHM approaches, damage localization is crucial for pinpointing the geometric l

We provide tools to analyze factorization at the amplitude level for processes involving the entire standard model. We focus in particular on a momentum region, in which the factorization of real and certain virtual corrections appears in a generalized eikonal approximation in which we expand around a quasisoft limit for massive gauge bosons, fermions, and scalars. We use the chirality-flow formal

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In a few recent papers we introduced the chirality-flow formalism, which builds on the spinor-helicity formalism, but incorporates the Fierz identity into the Feynman rules. Calculations at tree level are thereby trivial, often to the extent that it is possible to immediately write down a tree-level Feynman diagram in terms of spinor inner products. This simplification persists in tree-level compu

Violent Extremism: A Nordic Outlook illuminates the global issue of violent extremism, with a particular focus on Sweden and the Nordic countries. This concise volume leverages empirical research to uncover the mechanisms and dynamics driving violent extremism, setting itself apart in a field often criticized for a lack of data-driven analysis. The contributors employ unique Nordic data to offer i

Background: Postoperative management after surgery for perforated peptic ulcer is still burdened by old traditions. All available data for fast-track recovery in this setting are either very unspecific or underpowered. The aim of this study was to evaluate fast-track recovery in this diagnosis-specific context in a larger sample. Methods: Electronic data sources were searched. Eligible studies wer

The Colombian peace agreement, which has brought an end to a prolonged internal armed conflict has led to significant land use changes that underscore existing inequalities and struggles over natural resources. The expansion of industries such as cattle ranching, agriculture, and extraction is encroaching on indigenous territories and protected areas, resulting in negative consequences for communi

Motivated by empirical research on bias and opinion formation, we formulate a multidimensional nonlinear opinion-dynamical model where agents have individual biases, which are fixed, as well as opinions, which evolve. The dimensions represent competing options, of which each agent has a relative opinion, and are coupled through normalization of the opinion vector. This can capture, for example, an

This is the first volume to address climate-related human mobility in the Nordic region in a single thematic and interdisciplinary volume. It grew out of the first workshops of the Nordic Network on Climate-Related Displacement and Mobility (Nordic Network), founded in 2019 by the co-editors. The workshops and ongoing collaboration through the Nordic Network revealed that very limited academic res

RNA sequencing (RNAseq) methodology has experienced a burst of technological developments in the last decade, which has opened up opportunities for studying the mechanisms of adaptation to environmental factors at both the organismal and cellular level. Selecting the most suitable experimental approach for specific research questions and model systems can, however, be a challenge and researchers i

The chemical and biological conversion of biomass-derived lignin is a promising pathway for producing valuable low molecular weight aromatic chemicals, such as vanillin or guaiacol, known as lignin monomers (LMs). Various methods employing chromatography and electrospray ionization-mass spectrometry (ESI–MS) have been developed for LM analysis, but the impact of LM chemical properties on analytica

Objectives: The objective of this study is to develop classification criteria for overall hand osteoarthritis (OA), interphalangeal OA and thumb base OA based on self-reported data and radiographic features. Methods: The classification criteria sets were developed in three phases. In phase 1, we identified criteria that discriminated hand OA from controls. In phase 2, we used a consensus-based dec

The problem of decoding random codes is a fundamental problem for code-based cryptography, including recent code-based candidates in the NIST post-quantum standardization process. In this paper, we present a novel Sieving-style Information-set Decoding algorithm, addressing the task of solving the syndrome decoding problem. Our approach involves maintaining a list of weight-2p solution vectors to

The risk of above-ankle reamputation following a transmetatarsal amputation is around 30%. Patient selection may be crucial to achieve good outcomes, and to avoid futile operations and suffering. We are aware of no previous comparison between the two largest patient groups that undergo lower extremity amputations: patients with diabetes, and patients with non-diabetic peripheral artery disease. Pa

We present a simple key-recovery attack on the LCMQ Authentication Protocol, an RFID authentication protocol proposed by Li, Gong, and Qin in 2013. We show that a successful attack is performed by solving a Learning Parity with Noise instance in a not-too-large dimension. For the proposed LCMQ parameters, the attack requires only a few invocations with the tag under attack. When there is no restri

Bioenergy plays a major role in the renewable energy supply and is projected to be an important part of the path towards a decarbonised society. Over the past decade, increasing attention has been given to agricultural bioenergy to act as a multifunctional climate mitigation strategy. Energy crops may mitigate climate change while simultaneously contributing to reducing the negative environmental

Dynamical structure functions (DSFs) provide means for modelling networked dynamical systems and exploring interactive structures thereof. There have been several studies on methods/algorithms for reconstructing (Boolean) networks from time-series data. However, there are no methods currently available for random generation of DSF models with complex network structures for benchmarking. In particu