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Reducing the ecological footprint and achieving environmental sustainability is regarded as one of the main goals of the world in recent decades. To achieve these goals, some practices in people’s life should be changed. As an essential part of human needs, food consumption is one of the practices that significantly impact environmental sustainability. In the last few decades, modern technologies,
The COVID-19 pandemic is classified as an infodemic with the circulation of vast amounts of true and untrue information, especially through social media. The study’s aim was to explore different articulations of people’s understanding, handling and evaluation of (true) information, misinformation and disinformation in general and specifically linked to social media related to the COVID-19 pandemicThe COVID-19 pandemic is classified as an infodemic with the circulation of vast amounts of true and untrue information, especially through social media. The study’s aim was to explore different articulations of people’s understanding, handling and evaluation of (true) information, misinformation and disinformation in general and specifically linked to social media related to the COVID-19 pandemic
Social cohesion has been defined in multiple ways by the literature, depending on the disciplinary perspective and context. Existing definitions commonly emphasize trust, solidarity, shared values, and social networks, treating social cohesion as a relatively stable condition. However, there remains a limited understanding of how social cohesion is experienced and constructed, specifically within
This study aims to investigate, understand and explore issues related to the appropriateness of the existing fire protection solutions in historical buildings and their effectiveness in avoiding catastrophes. Therefore, recent papers, case studies, statutory documents, and guidelines are reviewed. An explanation of the rationale is provided and potential fire safety solutions for historic buildin
Universitetslektor Kontaktinformation E-post: julian [dot] nowag [at] jur [dot] lu [dot] se Telefon: +46 46 222 10 27Organisation Juridiska institutionen Rumsnummer: 234 Hämtställe: 56 WebbplatsJulian Nowags profil i Lunds universitets forskningsportalAndra roller Forskare Miljörätt Forskare EU-rätt Docent Juridiska institutionen Publikationer Visar av publikationer. Sorterade efter år och sen tit
https://www.jur.lu.se/julian-nowag - 2026-07-21
The main objective for this article is to explore how users of psychoactive drugs experience time and the role psychoactive drugs play in the management and construction of time. The data in this study consists of different kinds of written documents such as anecdotal accounts and scientific articles and reports which was collected using a purposeful sampling technique. One important result is tha
Background: Relenza represents the first neuraminidase inhibitor (NI), a class of drugs that also includes the drug Tamiflu. Although heralded as breakthrough treatments in influenza, NI efficacy has remained highly controversial. A key unsettled question is why the US Food and Drug Administration (FDA) has approved more cautious efficacy statements in labelling than European regulators for both dBackgroundRelenza represents the first neuraminidase inhibitor (NI), a class of drugs that also includes the drug Tamiflu. Although heralded as breakthrough treatments in influenza, NI efficacy has remained highly controversial. A key unsettled question is why the United States Food and Drug Administration (FDA) has approved more cautious efficacy statements in labelling than European regulators f
Letter of invitation in order to obtain visa to Sweden 2 Letter of invitation in order to obtain visa to Sweden The Department of XXXX at Lund University in Sweden hereby invites den sökandes fullständiga namn (enligt pass) den sökandes födelsedatum den sökandes passnummer XXXX (namn) is going to be visiting Sweden (for less than 90 days) in order to varför . Beskriv besöket, vad vederbörande ska
This report discusses the implementation of machine learning algorithms for personalising question selection in a questionnaire-based self-report app for individuals suffering from mental health issues. A so-called \textit{Random Forest - Genetic Algorithm} (RFGA) hybrid prediction method is used to find an optimal set of relevant questions to pose to new users in the app. A complementary ad-hoc p
In this paper, we investigate the distributional properties of the estimated tangency portfolio (TP) weights assuming that the asset returns follow a matrix variate closed skew-normal distribution. We establish a stochastic representation of the linear combination of the estimated TP weights that fully characterizes its distribution. Using the stochastic representation we derive the mean and variaIn this paper, we investigate the distributional properties of the estimated tangency portfolio (TP) weights assuming that the asset returns follow a matrix variate closed skew-normal distribution. We establish a stochastic representation of the linear combination of the estimated TP weights that fully characterizes its distribution. Using the stochastic representation we derive the mean and varia
2017-03-09ContentsFamily disease heredity according to question 65 (version 1), questions 124 to 133 (version 2) or questions 86 to 95 (version 3) in the questionnaire. The accounted diseases are: cancer, heart infarction, stroke and diabetes (only version 1).Lines: 119 649 records of 28 459 individualsVariables: 11MiscellaneousVersions 2 and 3 of the questionnaire did not contain questions about
https://www.malmo-kohorter.lu.se/malmo-kost-cancer-mkc/datainsamling-mkc/mdc-family-disease-heredity - 2026-07-21
Sixteen years of hourly atmospheric pollutant data (1996-2011) in the Metropolitan Area of São Paulo (MASP), and seven years (2005-2011) of data measured in the Metropolitan Area of Rio de Janeiro (MARJ), were analyzed in order to study the extreme pollution events and their return period. In addition, the objective was to compare the air quality between the two largest Brazilian urban areas and p
The High Throughput Truthing project aims to develop a dataset for validating artificial intelligence and machine learning models (AI/ML) fit for regulatory purposes. The context of this AI/ML validation dataset is the reporting of stromal tumor-infiltrating lymphocytes (sTILs) density evaluations in hematoxylin and eosin-stained invasive breast cancer biopsy specimens. After completing the pilot
Pancreatic cancer continues to be a major cause of cancer deaths worldwide. Characterizing the tumors of long-term survivors (≥5 years survival) would create opportunities in prognostic and therapeutic strategies. In this study, RNA sequencing data was used to identify differentially expressed genes (DEGs) in tumors of long-term survivors (LTS) vs short-term survivors (STS). Using LASSO-Cox regres
The use of a semi-empirical alternative to the standard Washburn equation for the interpretation of raw mercury porosimetry data has been advocated. The alternative expression takes account of variations in both mercury contact angle and surface tension with pore size, for both advancing and retreating mercury meniscii. The semi-empirical equation presented was ultimately derived from electron mic
