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LPED 2018 4

Centre for Economic Demography Lund University School of Economics and Management P.O. Box 7083 SE-220 07 Lund, Sweden www.ed.lu/publications/Lund-Papers-in-Economic-Demography/ Breastfeeding during Pregnancy and the Risk of Miscarriage in the United States JOSEPH MOLITORIS LUND PAPERS IN ECONOMIC DEMOGRAPHY 2018:4 Copyright is held by the author(s). Lund Papers in Economic Demography are circulat

https://www.lusem.lu.se/sites/lusem.lu.se/files/2024-07/LPED%202018%204.pdf - 2026-06-22

Guidelines-on-qualifications-and-first-and-second-cycle-courses-and-study-programmes-at-lund-univers

Guidelines on qualifications and first and second-cycle courses and study programmes at Lund University Page 1 of 1 REGULATORY DOCUMENT COVER PAGE Guidelines on qualifications and first and second-cycle courses and study programmes at Lund University Type of regulatory document: Guidelines Definition of the type of regulatory document: Guidelines establish how someone must or should act in the are

https://www.staff.lu.se/sites/staff.lu.se/files/2025-10/guidelines-on-qualifications-and-first-and-second-cycle-courses-and-study-programmes-at-lund-university.pdf - 2026-06-22

High-order harmonic generation with few-cycle pulses for ultrafast electron spectroscopy

In this thesis, a high-repetition-rate attosecond light source based on high-order harmonic generation in gases was used to perform time-resolved electron spectroscopy in atoms and solids. The source was driven by few-cycle near-infrared laser pulses with a controllable carrier-to-envelope phase, enabling the generation of sequences of two to four attosecond pulses in the extreme ultraviolet range

The analytical and clinical validity of AI algorithms to score TILs in TNBC : can we use different machine learning models interchangeably?

Background: Pathologist-read tumor-infiltrating lymphocytes (TILs) have showcased their predictive and prognostic potential for early and metastatic triple-negative breast cancer (TNBC) but it is still subject to variability. Artificial intelligence (AI) is a promising approach toward eliminating variability and objectively automating TILs assessment. However, demonstrating robust analytical and p

Analysis of self-monitoring of blood glucose metrics in gestational diabetes mellitus and their association with infants born large for gestational age : A historical observational cohort study of 879 pregnancies

Introduction: Self-monitoring of blood glucose (SMBG) is the standard of care for women with gestational diabetes mellitus (GDM). This study aimed to review SMBG profiles in women with GDM and to examine how glucose metrics derived from SMBG relate to fetal overgrowth and infants born large for gestational age (LGA, >90th percentile). Material and Methods: This was a single-center, historical, obs

Postoperative morbidity and health-related quality of life in children with delayed reconstruction of esophageal atresia : a nationwide Swedish study

Background: In 10–15% of children with esophageal atresia (EA) delayed reconstruction of esophageal atresia (DREA) is necessary due to long-gap EA and/or prematurity/low birth weight. They represent a patient subgroup with high risk of complications. We aimed to evaluate postoperative morbidity and health-related quality of life (HRQOL) in a Swedish national cohort of children with DREA. Methods:

Tau accumulation and its spatial progression across the Alzheimer’s disease spectrum

The accumulation of tau abnormality in sporadic Alzheimer’s disease is believed typically to follow neuropathologically defined Braak staging. Recent in-vivo PET evidence challenges this belief, however, as accumulation patterns for tau appear heterogeneous among individuals with varying clinical expressions of Alzheimer’s disease. We, therefore, sought a better understanding of the spatial distri

Endosomal escape of RNA therapeutics

RNA therapeutics is a new class of targeted therapies that has entered the clinic in the last decade. Lipid nanoparticles (LNPs) and conjugation to N-acetylgalactosamine have proven to be efficient strategies to deliver RNA payload to the liver. Successful delivery of sensitive RNA molecules to other target tissues or tumors remains one of the key challenges with the development of new RNA-based t

Chem2Side : A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images

Drug side effects (DSEs) or adverse drug reactions (ADRs) are a major concern in the healthcare industry, accounting for a significant number of annual deaths in Europe alone. Identifying and predicting DSEs early in the drug development process is crucial to mitigate their impact on public health and reduce the time and costs associated with drug development. Objective: In this study, our primary

Modelling and analysis of multi-scale networks

The broad goal of this thesis is to develop a deeper mathematical understanding of the processes at work in the neuronal network of a brain by rigorously examining very fundamental elements of the processes involved. Paper I considers the flow of discrete signals on a graph and Paper II the complexity arising from the interplay of simple units. The concrete probabilistic investigations of such mod

Predictors of successful transition of adolescents and young adults living with HIV from pediatric to adult-oriented care in southern Ethiopia : a retrospective cohort study

Background: The introduction of highly active antiretroviral therapy has significantly improved the life expectancies of children and adolescents living with HIV, leading to an increased number transitioning to adult care. However, there has been a lack of studies in Ethiopia focusing on factors influencing the success of this transition. Therefore, this study aimed to determine predictors of a su

Opicapone versus placebo in the treatment of Parkinson’s disease patients with end-of-dose motor fluctuation-associated pain : rationale and design of the randomised, double-blind OCEAN (OpiCapone Effect on motor fluctuations and pAiN) trial

Background: Optimisation of dopaminergic therapy may alleviate fluctuation-related pain in Parkinson’s disease (PD). Opicapone (OPC) is a third-generation, once-daily catechol-O-methyltransferase inhibitor shown to be generally well tolerated and efficacious in reducing OFF-time in two pivotal trials in patients with PD and end-of-dose motor fluctuations. The OpiCapone Effect on motor fluctuations

Young Age on Starting Prostate-specific Antigen Testing Is Associated with a Greater Reduction in Prostate Cancer Mortality : 24-Year Follow-up of the Göteborg Randomized Population-based Prostate Cancer Screening Trial

BACKGROUND: The risk of death from prostate cancer (PC) depends on age, but the age at which to start prostate-specific antigen (PSA) screening remains uncertain.OBJECTIVE: To study the relationship between risk reduction for PC mortality and age at first PSA screening.DESIGN, SETTING, AND PARTICIPANTS: The randomized Göteborg-1 trial invited men for biennial PSA screening between the ages of 50 a

Adverse childhood experiences among children of parents who are refugees affected by trauma in Denmark : a register-based cohort study

Background: Children in families who are refugees might experience more adversities than their peers. Adverse childhood experiences (ACEs) are well known risk factors for poorer adulthood health and adjustment. The risk of ACEs for children with a parent who is a refugee affected by trauma is unknown. We aimed to estimate the hazard of individual and cumulative ACEs using a unique sample of childr

Modelling the impact of anthropogenic aerosols on CCN concentrations over a rural boreal forest environment

The radiative properties of clouds depend partially on the cloud droplet number concentration, which is determined by the concentration of cloud condensation nuclei (CCN) when the clouds are formed. In turn, CCN concentrations are determined by the atmospheric particle size distribution and their chemical composition. We use a novel Lagrangian modelling framework to examine the origins and history

An introduction to Spent Nuclear Fuel decay heat for Light Water Reactors: a review from the NEA WPNCS

This paper summarized the efforts performed to understand decay heat estimation from existing spent nuclear fuel (SNF), under the auspices of the Working Party on Nuclear Criticality Safety (WPNCS) of the OECD Nuclear Energy Agency. Needs for precise estimations are related to safety, cost, and optimization of SNF handling, storage, and repository. The physical origins of decay heat (a more correc

Prevalence of Children Aged 6 to 23 Months Who Did Not Consume Animal Milk, Formula, or Solid or Semisolid Food During the Last 24 Hours Across Low- and Middle-Income Countries

IMPORTANCE: The introduction of solid or semisolid foods alongside breast milk plays a vital role in meeting nutritional requirements during early childhood, which is crucial for child growth and development. Understanding the prevalence of zero-food children (defined for research purposes as children aged 6 to 23 months who did not consume animal milk, formula, or solid or semisolid food during t

Nanoscale organization of luminescent materials and their polarization properties investigated by two-dimensional polarization imaging

Semiconductor materials (e.g., conjugated polymers, metal halide perovskites) have been widely used in solar cells, light-emitting diodes, and photodetectors. Organic conjugated systems have high mechanical flexibility and low costs for production. Metal halide perovskites have the advantage of strong light absorption, long charge-carrier diffusion lengths, and low intrinsic surface recombination.

Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm

Background: Prognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some prognostic value. We hypothesised that cumulative information obtained during the first three days of intensive care could produce a reliable model for

The Use of Delayed Auditory Feedback in Self-Monitored Training of Acquired Apraxia of Speech – a descriptive pilot study

Purpose: This investigation was designed to examine the effects of self-monitored training combined with the use of delayed auditory feedback (DAF), on the accuracy of articulation in acquired apraxia of speech (AOS). Background: The increased number of stroke survivors leads to higher societal costs when it comes to e.g., rehabilitation. Speech and language deficits post stroke can be diminished