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Bombkriget 1939-45

Under andra världskriget fälldes tusentals ton bomber mot både militära och civila mål på marken. Förlusterna var stora såväl vad gäller antal nedskjuta bombplan och omkomna besättningsmän på dessa plan som de som blev offer för bombraiderna. Historien om bombkriget sträcker sig längre tillbaka än andra världskriget, men under åren 1939–45 förändrades förutsättningarna. Bombplanen kunde medföra al

Social Media Digital Architectures : A Platform-First Approach to Political Communication and Participation

This chapter outlines the architectural approach to researching digital politics. An architectural approach focuses on platform structures and how they mediate, and can actively affect, users’ political agency online and offline. I first chart the lineage of architectural approaches in the social sciences, from discourse architectures to digital architectures. Then, I describe the process of ‘mapp

Hamas attack blottlägger Irans geopolitiska mål

När röken klarnar blir silhuetterna av Irans ambitiösa geopolitiska strävanden mer urskiljbara, skriver Ardavan M. Khoshnood, docent, överläkare och lektor vid Lunds universitet.The orchestrated attack by Hamas on Israel on October 7, 2023, highlights a significant intelligence failure and the menacing influence of the Islamic regime in Iran. Post-attack, the regime's involvement in aiding Hamas has been echoed globally. The Islamic regime, known for supporting terrorist groups like Hamas, has been a major destabilizing force in the Middle East since 1979. The nature of t

Enhancing Traffic Flow and Safety in Mixed Vehicle Fleets: Mitigating the Influence of Non-Cooperative Vehicles on Autonomous Intersection Management Systems

With the rapid advancement of autonomous vehicle technology, integrating mixed autonomous and non-autonomous vehicles that are not cooperative in vehicular network has become a significant challenge. This paper presents an innovative Autonomous Intersection Management (AIM) system designed to optimize traffic flow and enhance intersection safety in such mixed traffic scenarios. By utilizing vehicl

Impact of Positioning Uncertainty on Autonomous Intersection Management System

Connected Autonomous Vehicles (AVs) have the potential to revolutionize Intelligent Transportation Systems (ITS) by addressing urban transport challenges, such asAutonomous Intersection Management (AIM). However, the assumption of highly accurate positioning in most ITS applications does not align with real-life situations. While extensive research has been conducted to improve positioning accurac

Taxonomic relationship among four European Physokermes species (Hemiptera: Coccomorpha) based on nuclear and mitochondrial DNA

Introduction: Scale insects (Hemiptera: Coccomorpha) feed on a wide variety of agricultural crops and forest and ornamental trees worldwide. These pest insects damage plants not only by causing sap loss but also by reducing the plant's photosynthetic activity. This is because the honeydew they produce acts as a substrate for mold, which covers leaf surfaces. In the last decades, several outbreaks

Evaluation of the diagnostic and prognostic potential of optical coherence tomography (OCT) of the pulmonary arteries during standardised right heart catheterisation in patients with pulmonary hypertension : a cross-sectional single-centre experience

Background: Pulmonary hypertension (PH) is diagnosed based on an invasive evaluation of the mean pulmonary artery (PA) pressure. The morphological assessment of the pulmonary arteries was only recently not feasible. With the advent of optical coherence tomography (OCT)-imaging, an accessible tool allows to study PA morphology longitudinally. The primary hypothesis was that OCT distincts the PA str

Skin, soap, and spaghetti : Investigations of co-existing solid and liquid phases in organic materials using solid-state NMR with dynamics-based spectral editing

Solid-state NMR methods incorporating dynamics-based spectral editing have a remarkable versatility for resolving and separately characterizing co-existing solid and liquid phases or domains in biologically and technically relevant organic materials. While 13C spectra acquired under magic-angle spinning and 1H decoupling provide atomic resolution, the signal intensities obtained with the CP and IN

Performance Evaluation of QUIC vs TCP for Cloud Control Systems

QUIC is a UDP-based transport layer protocol developed by Google that boasts lower latency performance than TCP. However, different conclusions have been reported regarding its performance due to variations in targeted applications and experimental setups. This leads to our conclusion that protocol performance evaluation should be heavily dependent on the QoS requirements of the target application

Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems

Cloud Control Systems (CCSs) harness the power of cloud resources to carry out intense computational tasks, however, they face challenges in delivering time-critical control signals due to network and cloud-induced delays. In this paper, we introduce a novel framework, "Punctual Cloud", designed to enhance the timely delivery of control signals in CCS. This framework ensures that control signals a

Comparative microRNA profiling of Trypanosoma cruzi infected human cells

Introduction: Trypanosoma cruzi, the causative agent of Chagas disease, can infect almost any nucleated cell in the mammalian host. Although previous studies have described the transcriptomic changes that occur in host cells during parasite infection, the understanding of the role of post-transcriptional regulation in this process is limited. MicroRNAs, a class of short non-coding RNAs, are key pl

Detecting and Mitigating Actuator Attacks on Cloud Control Systems through Digital Twins

Recently, the industry has been driven to move industrial control systems to the cloud due to the significant advantages it offers in terms of storage and computing resources. However, this shift also brings forth significant security challenges. By moving control systems to the cloud, the potential for attackers to infiltrate the system and launch damaging attacks increases. These attacks can res

Implementation of Sequential Detection of Replay Attacks for a Cloud Native Controller

This paper focuses on the investigation of a sequential detection policy for combating the effect of the replay attack on a cloud-native controller. In reply attacks, an external attacker records true signals for some time duration and replays them later. The effect of such an attack is mitigated by adding random signals to the optimal control signal before the actuation process, which is known as

Norm compliance in an uncertain world

In many situations, pro-social norms govern behavior. While the existence of a pro-social norm may be clear to someone entering the situation, it is often less clear precisely how much effort is required in order to comply with the norm. We investigate how people react to uncertainty about which effort level implements the prevailing norm using a modified version of the dictator game. Since the be