Search results

Nano Lund Annual Report 2021 NanoLund ANNUAL REPORT | 2021 Cover: Photoemission electron microscopy sample under laser illumination, placed in the experimental chamber in front of the microscope’s extractor cone. Photo: Lukas Wittenbecher An artistic rendition of power dependent photo- luminescence spectra of a wurtzite-zinc-blended InP heterostructure. Image: Irene Geijselaers WORKING TOGETHER ON

https://www.nano.lu.se/sites/nano.lu.se/files/2022-06/NanoLund-Annual-Report-2021_reduced.pdf - 2026-06-26

Many studies have found close relationships between accessibility and various socio-economic indicators. Yet, since accessibility tends to have differentiated effects, both socially and spatially, there is a need for a model which allows for a disaggregated analysis of accessibility. The model should be possible to use in areas where road network data is incomplete. In this paper such an accessibi

Energy-dispersive X-ray fluorescence (EDXRF) spectrometry is not adequate for the determination of some potentially hazardous trace elements, such as Cd, Cu, Ni and Pb at low concentration in PM2.5 atmospheric aerosol particles. Therefore, a method has been developed for the determination of these elements in atmospheric aerosol particles using high-resolution continuum source graphite furnace ato

In this study, we have analyzed the spatial and temporal correlation between the North Atlantic Oscillation (NAO) and the climate in Iraq, with a focus on precipitation, temperature, and number of Mediterranean cyclones. It was found that the influence of the NAO varies per climate indicator. For example, the influence is greater on precipitation than on temperature. One conclusion of the study is

Objective: To determine the validity of 15 standardized instruments frequently used to measure the outcome of chronic arthritis treatment. Methods: Analyses were performed on data collected at a rehabilitation programme (n=216). The outcome measures evaluated were health-related quality of life, global health, pain, physical function and aerobic capacity. The instrument items were linked to the In

By combining data from the Swedish Knee Arthroplasty Register and Swedish census registers we have calculated the past age-specific incidence of primary knee arthroplasties and predicted the demand. During the last 20 years, osteoarthrosis has accounted for the largest increase in number of knee arthroplasties while operations for rheumatoid arthritis remained constant. The mean yearly number of o

There exist major challenges in accelerating the spatial data infrastructure (SDI) planning process in the developing countries as well as advocating for politicians to support the development of SDI, due to the high complexity of SDI, lack of knowledge and experience, and limited insight in the benefits. To address these challenges, a methodology for SDI planning in Tanzania, based on the system

A major problem in CTG analysis is that detectionof a suspicious pattern in short intervals so that one can reducethe damage caused by a delay of an automatic monitoringsystem. In this paper, we aim for improving intrapartumsurveillance based on signal processing and machine learningtechniques. We evaluate a classification method on a real dataset.

Background--Long-term disease progression after myocardial infarction (MI) is inadequately understood. We evaluated the pattern and angiographic properties (culprit lesion [CL]/non-CL [NCL]) of recurrent MI (re-MI) in a large real-world patient population. Methods and Results--Our observational study used prospectively collected data in 108 615 patients with first-occurrence MI enrolled in the SWE

This data article presents water stage, flow, and net primary productivity (NPP) data that were used to analyze the dynamics of the riverine dissolved organic carbon (DOC) dynamics in the Rukarara River watershed in Rwanda. We measured water stage data every 15 min and calculated daily averages used to estimate flow based on rating curves. The rating curves were produced using several measured con

Popular Abstract in Swedish Självmord och självmordsförsök orsakar mycket lidande för många människor i vårt samhälle. I Sverige begår ungefär 1800 personer självmord varje år. De flesta av dessa personer hade vid tiden för självmordet en psykisk sjukdom. Man har funnit att åtminstone hälften av dessa personer hade en depressionssjukdom, minst en fjärdedel hade alkoholproblem och c:a 5% led av schA suicide attempt is one of the most powerful predictors of eventual suicide. The aim of this thesis was to investigate the social situation, including social support of suicide attempters. One part of the investigations concerned patients admitted to a psychiatric ward following a suicide attempt. Another part concerned significant others (SOs) of suicide attempters, interviewed directly after th

The destruction of land and forced migration during the Anfal attacks against the Kurds in Iraq in the late 1980s has been reported to have severe consequences for agricultural development. A reconstruction program to aid people in returning to their lands was launched in 1991. To assess the agricultural situation in the Duhok governorate during the pre-Anfal (A), post-Anfal (B), reconstruction (C

OBJECTIVES: To compare 6 minute walking distance (6MWD) in a population-based osteoarthritis (OA) cohort with matched peers from the general population, and to explore the associations between walking ability and CVD risk (arterial stiffness) in the OA cohort.DESIGN: This cross-sectional study included participants (40-80 years) who self-reported OA (n=500) in a population-based study and age- and

In recent years, shared micro-mobility services (e.g., bikes, e-bikes, and e-scooters) have been popularized at a rapid pace worldwide, which provide more choices for people’s short and medium-distance travel. Accurately modeling the choice of these shared micro-mobility services is important for their regulation and management. However, little attention has been paid to modeling their choice, esp

Shared electric scooters (e-scooters) have been rapidly growing in popularity across Europe over the past three years, which can bring various environmental and socioeconomic benefits. However, how to further improve the usage efficiency of shared e-scooters is still a major concern for micro-mobility operators and city planners. This paper proposes a machine learning based approach to predict the