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New Perspectives on the Old Covenant: 2 Corinthians 3 and Paul within Judaism

Pauline scholarship has gone through fundamental changes during the last decades. Old assumptions and premises have been questioned, debated and reformulated through the New Perspective on Paul. A more recent scholarly trend is known as the Paul Within Judaism Perspective (also labelled the Radical New Perspective on Paul). This article focuses on 2 Corinthians 3 in relation to this development an

A/H1N1 hemagglutinin antibodies show comparable affinity in vaccine-related Narcolepsy type 1 and control and are unlikely to contribute to pathogenesis

An increased incidence of narcolepsy type 1 (NT1) was observed in Scandinavia following the 2009–2010 influenza Pandemrix vaccination. The association between NT1 and HLA-DQB1*06:02:01 supported the view of the vaccine as an etiological agent. A/H1N1 hemagglutinin (HA) is the main antigenic determinant of the host neutralization antibody response. Using two different immunoassays, the Luciferase I

Introduction

The aim of this chapter in the report book in Sociology of Law, and Child Rights Institute, Lund University, is to sum up and report, in a summarizing overview in an Introduction our main experiences of Child Rights in Education during 18 years as researchers and teachers in the Sida international training program on "Child Rights, Classroom and School Management".The aim of this report book in Sociology of Law, and Child Rights Institute, LundUniversity, is to sum up and report, in a summarizing overview in the Introduction our main experiences of Children´s Rights in Education during 18 years in the Global South as researchers and teachers.

Shock deformation in zircon grains from the Mien impact structure, Sweden

Recognition of impact-induced deformation of minerals is crucial for the identification and confirmation of impact structures as well as for the understanding of shock wave behavior and crater formation. Shock deformed mineral grains from impact structures can also serve as important geochronometers, precisely dating the impact event. We investigated zircon grains from the Mien impact structure in

Learning-based Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar

This paper presents a data-driven measurement model for extended object tracking (EOT) with automotive radar. Specifically, the spatial distribution of automotive radar measurements is modeled as a hierarchical truncated Gaussian (HTG) with structural geometry parameters, e.g., truncation bounds, orientation, and scaling, that can be learned from the training data. The HTG measurement model provid

Revisiting Sweden's Comprehensive School Reform: Effects on Education and Earnings

We revisit a Swedish comprehensive school reform first evaluated by Meghir and Palme (2005). This reform increased years of schooling and abolished tracking. We extend the original analysis to the full population and introduce an improved education measure. Our results confirm the original overall finding of small average earnings effects. However, we find considerably larger increases in educatio

Integrated molecular and clinical analysis of low-grade gliomas in children with neurofibromatosis type 1 (NF1)

Low-grade gliomas (LGGs) are the most common childhood brain tumor in the general population and in individuals with the Neurofibromatosis type 1 (NF1) cancer predisposition syndrome. Surgical biopsy is rarely performed prior to treatment in the setting of NF1, resulting in a paucity of tumor genomic information. To define the molecular landscape of NF1-associated LGGs (NF1-LGG), we integrated cli

Area and reconfiguration time minimization of the communication network in regular 2D reconfigurable architectures

n this paper, we introduce a constraint programming-based approach for the optimization of area and of reconfiguration time for communication networks for a class of regular 2D reconfigurable processor array architectures. For a given set of different algorithms the execution of which is supposed to be switched upon request at run-time, we provide static solutions for the optimal routing of data b

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Deep learning for inverse problems in quantum mechanics

Inverse problems are important in quantum mechanics and involve such questions as finding which potential give a certain spectrum or which arrangement of atoms give certain properties to a molecule or solid. Inverse problems are typically very hard to solve and tend to be very compute intense. We here show that neural networks can easily solve inverse problems in quantum mechanics. It is known tha

Estimation of the glomerular filtration rate in children and young adults by means of the CKD-EPI equation with age-adjusted creatinine values

The CKD-EPI creatinine-based estimation equation for glomerular filtration rate (GFR) cannot be used in children, overestimates GFR in young adults, and its combination with the KDIGO recommended pediatric CKiD (Schwartz bedside) equation causes implausible increases in estimated GFR when switching from pediatric to adult care. By establishing sex-specific creatinine growth curves for children and

From nanoLEDs to the realization of RGB-emitting microLEDs

MicroLED technology is expected to be the technology of choice for next-generation displays. Its advantages in various applications are reviewed. The challenges of microLED manufacturing, including red microLED realization, adequate efficiency, mass transfer, and structure and process design from a system perspective, are discussed with a special emphasis on how nano-scale material science may ope

Temperature thresholds of ecosystem respiration at a global scale

Ecosystem respiration is a major component of the global terrestrial carbon cycle and is strongly influenced by temperature. The global extent of the temperature–ecosystem respiration relationship, however, has not been fully explored. Here, we test linear and threshold models of ecosystem respiration across 210 globally distributed eddy covariance sites over an extensive temperature range. We fin

On the Complexity Requirements of a Panel-Based Large Intelligent Surface

A Large Intelligent Surface (LIS) is a recently proposed concept, especially suitable for high speed indoor communications and industrial internet of things (IoT) applications. Basing the LIS on smaller panels has clear advantages in terms of flexibility and mass production of its elements. In this paper we consider a panel-based LIS and we study the interplay of the panel size, the number of base

Epsilon waves as an extreme form of depolarization delay : Focusing on the arrhythmogenic right ventricular cardiomyopathy/dysplasia

Revision of the Task Force diagnostic criteria (TFC) for arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC/D), in 2010, has increased the sensitivity for the diagnosis of early and familial forms of the disease. Epsilon wave (EW) is a major diagnostic criterion in the context of ARVC/D, however, it remains unquantifiable and therefore, may leave room for substan-tial subjective inter