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Beslut Om Samlokalisering Av CEC INES Och Geologiska Institutionen

Sida 1 av 5 Dekan BESLUT Diarienummer STYR 2024/803 Datum 2024-04-02 Beslut om samlokalisering av Centrum för miljö- och klimatvetenskap, Institutionen för naturgeografi och ekosystemvetenskap och Geologiska institutionen Bakgrund En samlokalisering av Centrum för miljö- och klimatvetenskap (CEC), institutionen för naturgeografi och ekosystemvetenskap (INES) och geologiska institutionen är ett lån

https://www.naturvetenskap.lu.se/internt/sites/naturvetenskap.lu.se.internt/files/2024-04/Beslut%20om%20samlokalisering%20av%20CEC%20INES%20och%20geologiska%20institutionen.pdf - 2026-05-06

Lagstiftarens stora kliv - dags att backa bandet? - En framåtblickande kritisk granskning av förslaget om en utökning av preventiva tvångsmedel utifrån ett rättssäkerhetsperspektiv

Allvarlig brottslighet som begås inom kriminella nätverk har ökat drastiskt under senare år. Skjutningar och sprängningar har blivit alltmer förekommande och nu diskuteras även finansierandet av skjutvåldet genom narkotika-, smugglings- och ekonomisk brottslighet i politiska debatter. Hur man ska komma till rätta med problemet, med hänsyn till förbättrade tekniska förutsättningar och tystnadskultuSerious crimes committed within criminal networks have increased drastically in recent years. Shootings and explosions are unusually often occurring in Sweden and now the financing of this deadly violence by drug, smuggling and financial crimes is also discussed in political debates. How to effectively deal with the problem, despite improved technology and a culture of silence in criminal gangs, i

Build a linear accelerator model

Build a linear accelerator to demonstrate spallation – the source of high-energy neutrons used by the new European Spallation Source being built in Sweden.In this activity, we build a model of a linear accelerator (linac) called a Gauss cannon. It uses magnetic attraction and momentum transfer to accelerate a series of steel balls, representing protons. At the end of the track, one ‘proton’ will c

Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)

Background: Surgical sentinel lymph node biopsy (SLNB) is routinely used to reliably stage axillary lymph nodes in early breast cancer (BC). However, SLNB may be associated with postoperative arm morbidities. For most patients with BC undergoing SLNB, the findings are benign, and the procedure is currently questioned. A decision-support tool for the prediction of benign sentinel lymph nodes based

Bettan – Industrial robot and application for Finja Exakt build system

This paper reports on efforts to create a robotized construction build system, based on the Finja Exakt manual build system. The equipment used is a generic off-the-shelf industrial arm robot integrated with a spindle crane carrier for mobility. The approach offers technical, safety and usability challenges as well as integration and business challenges for placing a generic industrial robot onsit

OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates

In this paper, we introduce OT-PCA, a novel approach for conducting Plaintext-Checking (PC) oracle based side-channel attacks, specifically designed for Hamming Quasi-Cyclic (HQC). By calling the publicly accessible HQC decoder, we build offline templates that enable efficient extraction of soft information for hundreds of secret positions with just a single PC oracle call. Our method addresses cr

Summary of the trigger systems of the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb

In modern high energy physics (HEP) experiments, triggers perform the important task of selecting, in real time, the data to be recorded and saved for physics analyses. As a result, trigger strategies play a key role in extracting relevant information from the vast streams of data produced at facilities like the large hadron collider (LHC). As the energy and luminosity of the collisions increase,

Efficient Authentication Protocols from the Restricted Syndrome Decoding Problem

In this paper, we introduce an oracle version of the Restricted Syndrome Decoding Problem (RSDP) and propose novel authentication protocols based on the hardness of this problem. They follow the basic structure of the HB-family of authentication protocols and later improvements but demonstrate several advantages.An appropriate choice of multiplicative subgroup and ring structure gives rise to a ve

Formal Analysis of Julia Key Agreement Protocol

The evolution of the fifth-generation network (5G) increases the demand and use of Internet of Things (IoT) devices extensively. The increased number of IoT devices increases the possibility of new attack surfaces, and thus even resource-constrained IoT devices need secure communication. In this work, we consider the Julia Key Agreement (JKA) protocol, which has been proposed as a secure and effic

What Happens to Nordic Culture When you Drop the “Heritage"? : Re-imagining Nordic culture for a new museum.

In the last decade, museums that were established in the 20th century by immigrants from the five Nordic countries have become increasingly concerned with broadening their audiences and more actively engaging their visitors. Efforts to do this have varied from offering traveling exhibitions produced in the Nordic countries, film programs, festivals, concert series, cocktail hours, culinary confere

Some Cryptanalytic and Coding-Theoretic Applications of a Soft Stern Algorithm

Using the class of information set decoding algorithms is the best known way of decoding general codes, i.e. codes that admit no special structure, in the Hamming metric. The Stern algorithm is the origin of the most efficient algorithms in this class. We consider the same decoding problem but for a channel with soft information. We give a version of the Stern algorithm for a channel with soft inf

On the Sample Complexity of solving LWE using BKW-Style Algorithms

The Learning with Errors (LWE) problem receives much attention in cryptography, mainly due to its fundamental significance in post-quantum cryptography. Among its solving algorithms, the Blum-Kalai-Wasserman (BKW) algorithm, originally proposed for solving the Learning Parity with Noise (LPN) problem, performs well, especially for certain parameter settings with cryptographic importance. The BKW a

Iscensätta barnperspektiv : Före, under och efter Barnahusbesök

Barnahus syftar till att förbättra utredningar och samarbete mellan myndigheter när barn misstänks ha varit utsatta för brott som misshandel eller sexuella övergrepp. I Barnahus samverkar olika instanser som socialtjänst, polis, åklagare, barnmedicin, rättsmedicin samt barn- och ungdomspsykiatri i en barnvänlig miljö. I stället för att behöva upprepa sin berättelse för olika tjänstemän på olika pl

Demonstration : a cloud-control system equipped with intrusion detection and mitigation

The cloud control systems (CCs) are inseparable parts of industry 4.0. The cloud, by providing storage and computing resources, allows the controllers to evaluate complex problems that are too computationally demanding to perform locally. However, connecting physical systems to the cloud through the network can provide an entry point for attackers to infiltrate the system and cause damage with pot

Energy renovation strategies for office buildings using direct ground cooling systems

Direct ground cooling systems (DGCS) can provide comfort cooling to buildings without the use of any refrigeration-based cooling methods. DGCS is an emerging technology, commonly used for new office buildings in cold climates. This study aims to evaluate the energy-saving possibilities of a DGCS compared to a conventional chiller system for an existing office building. A typical Swedish office bui

wav2pos: Sound Source Localization using Masked Autoencoders

We present a novel approach to the 3D sound source localization task for distributed ad-hoc microphone arrays by formulating it as a set-to-set regression problem. By training a multi-modal masked autoencoder model that operates on audio recordings and microphone coordinates, we show that such a formulation allows for accurate localization of the sound source, by reconstructing coordinates masked

Assessment of the impact of interior insulation on exterior walls in three Swedish buildings–based on validated models

This project evaluates the impact of interior insulation on external walls in three Swedish heritage buildings. Field measurements and hygrothermal simulations were conducted to assess available solutions. Measurements of temperature and relative humidity were taken both indoors and outdoors, as well as on the exterior and interior surfaces of the walls. The accuracy of simulation standards for in