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Towards sustainable solid waste management in Jordan

Jordan is a country with a growing population that is undergoing rapid modernization. The increased volume of solid waste and associated logistical difficulties, the steady growth in the cost of waste management and the risk to human health are sources of concern. The increasing amount of solid waste generated in Jordan has not been accompanied by adequate sanitation facilities or management progr

Making space in the city for diverse life worlds and temporalities : An explorative investigation of the affordance and territoriality of urban cemeteries

The urban cemetery is a built green environment that is both a place of death, belonging to the bereaved and their rituals of care and remembrance, and a recreational space, where people rest, walk their dog, jog, reflect in silence, or just pass through. Urban cemeteries and urban parks share some features and uses in that respect, but they also have very different meanings and functions. The res

Tailoring the course of postprandial glycaemia to bread : On the importance of viscous dietary fibre for acute and semi-acute glucose tolerance and appetite

The prevalence of metabolic diseases such as type 2 diabetes mellitus (T2DM) is rapidly increasing all over the world. Frequent episodes of elevated postprandial blood glucose have been associated with oxidative stress and subclinical inflammation, and the importance of a tight glycaemic control has been identified as an important factor to maintain health and prevent T2DM, obesity and cardiovascu

Anna Glenngård

Universitetslektor Kontaktinformation E-post: anna [dot] glenngard [at] fek [dot] lu [dot] se Telefon: +46 46 222 78 01Organisation Redovisning och finans Hämtställe: 10 WebbplatsAnna Glenngårds profil i Lunds universitets forskningsportalAndra roller Docent Redovisning och finans Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaArtikel i tidskriftBokD

https://www.ehl.lu.se/anna-glenngard - 2026-04-26

Machine learning algorithm for classification of breast ultrasound images

Breast cancer is the most common type of cancer globally. Early detection is important for reducing the morbidity and mortality of breast cancer. The aim of this study was to evaluate the performance of different machine learning models to classify malignant or benign lesions on breast ultrasound images. Three different convolutional neural network approaches were implemented: (a) Simple convoluti

School Grades and Neighbourhoods – A Natural Experiment

Adolescents with an immigrant background have poorer educationalperformance than their native counterparts, which may partly be explainedby the quality of their neighbourhood area upon immigration to Sweden. Animportant part of neighbourhood quality is neighbourhood socioeconomicstatus (NSES). This study examines the impact of initial NSES on subsequentschool grades in refugees by using a natural