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Midazolam for sedation of infants in the neonatal intensive care unit

Rationale: Proper sedation for neonates undergoing uncomfortable procedures may reduce stress and prevent complications. Midazolam is a short-acting benzodiazepine that is used in neonatal intensive care units. This is an update of a Cochrane review first published in 2003. Objectives: To assess the benefits and harms of midazolam – compared with placebo, other pharmacological interventions, and n

Jacobian-free multigrid preconditioner for DG-SEM for atmospheric flow

High fidelity fluid simulations have important applications in science and engineering, examples include numerical weather prediction and simulation aided design. Discontinuous Galerkin (DG) methods are promising high order discretizations for simulating unsteady compressible fluid flow in three dimensions. Systems arising from such discretizations are often stiff and require implicit time integra

Arbets- Och Delegationsordning För Teaterhögskolan Vid Lunds Universitet

Brevmall Postadress 188, 221 00 Lund, Besökadress Bergsgatan 31, 214 22 Malmö, www.thm.lu.se Teaterhögskolan i Malmö Institutionsstyrelsen Arbets – och delegationsordning för Teaterhögskolan vid Lunds universitet Arbets- och delegationsordningen för Teaterhögskolan i Malmö är fastställd av Teaterhögskolans institutionsstyrelse 2024-01-31. Detta beslut ersätter delegationsordning STYR 2021/589. Inn

https://www.thm.lu.se/sites/thm.lu.se/files/2024-02/Arbets-%20och%20delegationsordning%20fo%CC%88r%20Teaterho%CC%88gskolan%20vid%20Lunds%20universitet.pdf - 2026-05-29

Further improvements of the estimation of key enumeration with applications to solving LWE

In post-quantum cryptography (PQC), Learning With Errors (LWE) is one of the dominant underlying mathematical problems. For example, in NIST's PQC standardization process, the Key Encapsulation Mechanism (KEM) protocol chosen for standardization was Kyber, an LWE-based scheme. The primal and the dual attacks are the two main strategies considered for solving the underlying LWE problem of multiple

Attacks Against Mobility Prediction in 5G Networks

The 5th generation of mobile networks introduces a new Network Function (NF) that was not present in previous generations, namely the Network Data Analytics Function (NWDAF). Its primary objective is to provide advanced analytics services to various entities within the network and also towards external application services in the 5G ecosystem. One of the key use cases of NWDAF is mobility trajecto

Fast Parallelizable Misuse-Resistant Authenticated Encryption : Low Latency (Decryption-Fast) SIV

In this paper, we present two new provable nonce-misuseresistantAEAD modes based on tweakable block ciphers and universalhash functions. These new modes target equipping high-speed applicationswith nonce-misuse-resistant AEAD (MRAE). The first mode, LowLatency Synthetic IV (LLSIV), targets similar performance on single-coreplatforms to SCT-2, while eliminating the bottlenecks that make SCT-2not fu

Embedded eigenvalues for asymptotically periodic ODE systems

We investigate the persistance of embedded eigenvalues under perturbations of a certain self-adjoint Schrödinger-type differential operator in L2(R; Rn), with an asymptotically periodic potential. The studied perturbations are small and belong to a certain Banach space with a specified decay rate, in particular, a weighted space of continuous matrix valued functions. Our main result is that the se

ALBA : Adaptive Language-Based Assessments for Mental Health

Mental health issues differ widely among individuals, with varied signs and symptoms. Recently, language-based assessments have shown promise in capturing this diversity, but they require a substantial sample of words per person for accuracy. This work introduces the task of Adaptive Language-Based Assessment (ALBA), which involves adaptively ordering questions while also scoring an individual’s l

AutoML in the Face of Adversity: Securing Mobility Predictions in NWDAF

Network Data Analytics Function (NWDAF) is a key component in 5G networks, introduced by 3G Partnership Project (3GPP) standards, that leverages machine learning to optimize network performance. The 3GPP standards mandate that mobile network operators should retrain NWDAF models to maintain accuracy. However, the presence of adversarial user equipment (UE) can introduce corrupted data points durin

Regaining Dominance in CIDER and Lazarus

Ensuring availability is a critical requirement for the Internet of Things (IoT). CIDER, a recovery architecture, and its follow-up scheme, Lazarus, are solutions to address this issue. CIDER introduced a new hardware module, the Authenticated Watchdog Timer (AWDT), to keep IoT devices running in normal mode as long as trusted authenticated tickets are received from a hub. If valid tickets are not

Post-Quantum Cryptography : 14th International Workshop, PQCrypto 2023, College Park, MD, USA, August 16–18, 2023, Proceedings

This book constitutes the refereed proceedings of the 14th International Workshop on Post-Quantum Cryptography, PQCrypto 2022, held in College Park, MD, USA, in August 14–18, 2023.The 25 full papers presented in this book were carefully reviewed and selected from 51 submissions. They are categorized in the following topical sections: code-based cryptography; group-action-based cryptography; isogen

PAPR : Publicly Auditable Privacy Revocation for Anonymous Credentials

We study the notion of anonymous credentials with Publicly Auditable Privacy Revocation (PAPR). PAPR credentials simultaneously provide conditional user privacy and auditable privacy revocation. The first property implies that users keep their identity private when authenticating unless and until an appointed authority requests to revoke this privacy, retroactively. The second property enforces th

Relationship of Knee Forces to Subjective Function Pre- and Post-ACL Reconstruction

Purpose: Although basic objective measures (e.g., knee laxity, strength, and hop tests) have been related to subjective measures of function, associations between knee-specific objective and subjective measures have yet to be completed. The objective was to determine if knee joint contact and ligament forces differ between pre- and post-anterior cruciate ligament (ACL) reconstructed states and if

Effects from Time Dependence of Ice Nucleus Activity for Contrasting Cloud Types

The role of time-dependent freezing of ice nucleating particles (INPs) is evaluated with the “Aerosol–Cloud” (AC) model in 1) deep convection observed over Oklahoma during the Midlatitude Continental Convective Cloud Experiment (MC3E), 2) orographic clouds observed over North California during the Atmospheric Radiation Measurement (ARM) Cloud Aerosol Precipitation Experiment (ACAPEX), and 3) super

Object Detector Differences when Using Synthetic and Real Training Data

To train well-performing generalizing neural networks, sufficiently large and diverse datasets are needed. Collecting data while adhering to privacy legislation becomes increasingly difficult and annotating these large datasets is both a resource-heavy and time-consuming task. An approach to overcome these difficulties is to use synthetic data since it is inherently scalable and can be automatical