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Human society relies on, and interacts with, a diverse assortment of organisms and ecological systems, from the local to the global level. Research and management of these coupled social-ecological systems requires data that speaks to the variety of processes, statuses, and situations defined by them. Effective stewardship is enhanced by interdisciplinary thinking and, critically, access to intero

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As indicated in several earlier chapters in this anthology, traffic safety data are of many different types and studied in a large number of different activities. Many professional studies make use of already existing data, such as accident data records from police, insurance companies and hospitals, as well as statistical data derived from such databases. Other data are collected for specific pur

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Content analysis based on frequency distributions differs from impressionistic analysis and interpretations of written or spoken text. This type of analysis is objective insofar as it requires an explicit analysis procedure and a formalised analysis. Objectification means that a person transfers certain typical human functions to objects, i.e., tools, and that machines are developed that can carry

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Objectives: The aim of this study was to review the presentation and analysis of ordinal data in three international nursing journals in 2003. Method: In total, 166 full-length articles from the 2003 editions of Cancer Nursing, Scandinavian Journal of Caring Sciences and Nursing Research were reviewed for their use of ordinal data. Results: This review showed that ordinal scales were used in abo

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Leachate constitutes the main potential long-term environmental risk of landfill emissions. The EU landfill directive 1999/3 I/EC requires minimum monitoring during the active landfill life and the after-care phase. Due to time and resource limitations, monitoring of leachate quality is a compromise between information density and applicability. Samples from passively collected leachate are suspec

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Background: The availability of high throughput methods for measurement of mRNA concentrations makes the reliability of conclusions drawn from the data and global quality control of samples and hybridization important issues. We address these issues by an information theoretic approach, applied to discretized expression values in replicated gene expression data. Results: Our approach yields a quan

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Every aspect of modern life is dominated by decision-making and the availability of data. We constantly access, process and evaluate data as we navigate complex and uncertain problem spaces. Communication and Information Technologies (ICTs) have developed to a point where it is possible for very large data sets, measured in Exabyte, to be stored across many servers and gathered by many different p

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In this study a novel comparison of CFD, measured data and a ID-model is presented for a Twin-scroll turbocharger turbine stage. Both full and single admission flow divisions were taken into consideration and shown to represent "on-engine" conditions in the high and low engine rpm range respectively for a heavy-duty 6-cylinder diesel engine. With this in mind, the turbine stage was evaluated for e

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To validate the Swedish Register for Gallstone Surgery and Endoscopic Retrograde Cholangiopancreatography (GallRiks) concerning completeness and correctness of entered data for cholecystectomies and evaluating the effect of repeated audits. It is crucial for any register to obtain a high accuracy in order to be a credible and reliable source for quality evaluation, research, and development.

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This chapter examines discourses on the digitalization of consumption based on field work conducted at some of the many trade fairs for e-commerce that pop up every year in different cities all over Europe. It builds on studying the role played by consumer research in the performative enactment of consumer subjectivities. The chapter focuses on how consumer subjectivities are constructed and how p

ODEUM: Ansökan om stipendier

Stipendiets namn: (obligatorisk) Name of the scholarship: Sökandes namn: (obligatorisk) Name of the applicant: Instrument: (obligatorisk) Instrument: Personnummer: (obligatorisk) Personal identity number: Telefonnummer (hem): (obligatorisk) Telephone number (home): E-post adress: (obligatorisk) E-mail address: Vänligen välj: (obligatorisk) Please select: STUDENT Student FORSKARSTUDERANDE Postgradu

https://www.odeum.lu.se/formular/odeum-ansokan-om-stipendier - 2026-07-01

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This paper aims to investigate the scientific productivity of China's science system. This paper employs the Malmquist productivity index (MPI) based on Data Envelopment Analysis (DEA). The results reveal that the overall efficiency of Chinese universities increased significantly from 2009 to 2016, which is mainly driven by technological progress. From the perspective of the functions of higher ed

Lars Harrie

Professor Kontaktinformation E-post: lars [dot] harrie [at] mgeo [dot] lu [dot] se Telefon: +46 46 222 01 55Organisation Miljö- och geovetenskapliga institutionen (MGeo) Rumsnummer: GIS centre 104 Hämtställe: 16 WebbplatsLars Harries profil i Lunds universitets forskningsportalAndra roller Biträdande programledare Lantmäteri (CI) Medlem i Strategiskt forskningsområde eSSENCE: The e-Science Collabo

https://www.nateko.lu.se/sv/lars-harrie - 2026-07-02

Lars Harrie

Professor Kontaktinformation E-post: lars [dot] harrie [at] mgeo [dot] lu [dot] se Telefon: +46 46 222 01 55Organisation Miljö- och geovetenskapliga institutionen (MGeo) Rumsnummer: GIS centre 104 Hämtställe: 16 WebbplatsLars Harries profil i Lunds universitets forskningsportalAndra roller Biträdande programledare Lantmäteri (CI) Medlem i Strategiskt forskningsområde eSSENCE: The e-Science Collabo

https://www.gis.lu.se/sv/lars-harrie - 2026-07-02

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OBJECTIVE The objective of this study was to estimate the economic consequences of neurosurgical disease in low- and middle-income countries (LMICs). METHODS The authors estimated gross domestic product (GDP) losses and the broader welfare losses attributable to 5 neurosurgical disease categories in LMICs using two distinct economic models. The value of lost output (VLO) model projects annual GDP