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Find the Bad Apples: An efficient method for perfectkey recovery under imperfect SCA oracles– A case study of Kyber

Side-channel resilience is a crucial feature when assessing whether a postquantum cryptographic proposal is sufficiently mature to be deployed. In this paper, we propose a generic and efficient adaptive approach to improve the sample complexity (i.e., the required number of traces) of plaintext-checking (PC) oracle-based sidechannel attacks (SCAs), a major class of key recovery chosen-ciphertext S

Swedish Society of Rheumatology 2018 guidelines for investigation, treatment, and follow-up of giant cell arteritis

Objective: To develop evidence-based guidelines for the management of giant cell arteritis (GCA) as a complement to guidelines in other areas of rheumatology, issued by the Swedish Society of Rheumatology. Methods: A working group selected key areas for recommendations, reviewed the available evidence, and wrote draft guidelines. These were discussed and revised according to standard procedures wi

Improving risk prediction in heart failure using machine learning

Background: Predicting mortality is important in patients with heart failure (HF). However, current strategies for predicting risk are only modestly successful, likely because they are derived from statistical analysis methods that fail to capture prognostic information in large data sets containing multi-dimensional interactions. Methods and results: We used a machine learning algorithm to captur

Rapid detection of antibiotic resistance in positive blood cultures by MALDI-TOF MS and an automated and optimized MBT-ASTRA protocol for Escherichia coli and Klebsiella pneumoniae

Introduction: For fast and effective antibiotic therapy of serious infections like sepsis, it is crucial with rapid information about antibiotic susceptibility, especially in a time when the number of infections caused by multi resistant bacteria has escalated in the world. Methods: Here, we have used a semi-quantitative MALDI-TOF-MS based method for antibiotic resistance detection, MBT-ASTRA™, wh

North Atlantic weather regimes in δ18O of winter precipitation : isotopic fingerprint of the response in the atmospheric circulation after volcanic eruptions

Equatorial volcanic eruptions are known to impact the atmospheric circulation on seasonal time scales through a strengthening of the stratospheric zonal winds followed by dynamic ocean-atmosphere coupling. This emerges as the positive phase of the North Atlantic Oscillation in the first 5 years after an eruption. In the North Atlantic, other modes of atmospheric circulation contribute to the clima

Education for sustainability : Fostering a more conscious society and transformation towards sustainability

Purpose: Current approaches to sustainability science and education focus on (assessing and addressing) the external world of ecosystems, wider socio-economic structures, technology and governance dynamics. A major shortcoming of such approaches is the neglect of inner dimensions and capacities (which constrains education for sustainability as an end), and a limited capacity to facilitate reflecti

Organic iron complexes enhance iron transport capacity along estuarine salinity gradients of Baltic estuaries

Rivers discharge a notable amount of dissolved Fe (1:5×109 mol yr-1) to coastal waters but are still not considered important sources of bioavailable Fe to open marine waters. The reason is that the vast majority of particular and dissolved riverine Fe is considered to be lost to the sediment due to aggregation during estuarine mixing. Recently, however, several studies demonstrated relatively hig

Land-use history impacts functional diversity across multiple trophic groups

Land-use change is a major driver of biodiversity loss worldwide. Although biodiversity often shows a delayed response to land-use change, previous studies have typically focused on a narrow range of current landscape factors and have largely ignored the role of land-use history in shaping plant and animal communities and their functional characteristics. Here, we used a unique database of 220,000