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Industrial Control Systems (ICS) have been compromised by cyber-attacks with the development of computer and network technologies over the past few decades. Intrusion Detection Systems (IDSs) play a significant role in ensuring information security, and the key mechanism is to identify various attacks in the network accurately. One common strategy when implementing an IDS is to use a machine-learn

Accurate prediction of groundwater levels (GWL) is essential for effective and sustainable water resource management, particularly in arid and semiarid regions where excessive extraction and climate change significantly accelerate aquifer depletion. The nonstationary characteristics of groundwater data pose significant challenges to the performance and reliability of conventional machine learning

OBJECTIVE: To evaluate the association between metformin use and incident osteoarthritis (OA) in people with diabetes and the impact of dosing. DESIGN: Nested case-control study within a cohort of >1.4 million individuals from Sweden. PARTICIPANTS: Participants were aged 35-80 years in 2005, without diabetes or OA. We identified persons with incident diabetes between 2006 and 2016 and excluded tho

Introduction: Ultra-severe traumatic brain injury (us-TBI), defined as Glasgow Coma Scale score (GCS) of five-three, is associated with high mortality and severe morbidity amongst survivors. However, in selected patients a favourable recovery may still be achieved. Research question: We aimed to characterise what clinical parameters can be used as prognosticators in us-TBI patients. Material and m

Background: L-DOPA-induced dyskinesia is attributed to opposite activity changes mediated by D1 and D2 dopamine receptors in the two striatal output pathways. Whereas the causal role of direct-pathway D1 receptors is well established, the specific involvement of indirect-pathway D2 receptors in dopaminergic dyskinesias has remained elusive. Objectives: We used conditional knockout approaches in mi

Ansökan om tillgodoräknande av hel kurs eller del av kurs Ange nedan vilken kurs som du önskar ersätta. Gäller det del av kurs, ange momentet/provkoden. Gäller det termin 5 i kandidatprogrammen, skriv Valbar kurs. Kurskod Kursens namn Antal hp Ange nedan den eller de kurser du vill åberopa (som du har läst tidigare). Gäller det del av kurs, ange momentet/provkoden. Kurskod Kursens namn Lärosäte An

https://www.isk.lu.se/sites/isk.lu.se/files/tillgodoraknande_blankett_10.pdf - 2026-05-30

Mandatory vaccination interferes with personal integrity but may be necessary to safeguard public health. However, states must consider all relevant factors in context and ensure such policies do not place disproportionate burdens on those hesitant about vaccination.

A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach was based on an SVM algorithm, while the latter comprised string-matching between a controlled vocabulary and words in the text to be classified. Data collection consisted of a subset from Compendex, classified into six

BACKGROUND: Currently, only a limited number of molecular biomarkers for malignant melanoma exist. This is the case for both diagnosing the disease, staging, and efficiently measuring the response to therapy by tracing the progression of disease development and drug impact. There is a great need to identify novel landmarks of disease progression and alterations.METHODS: Matrix-assisted laser desor

Context: Residential care homes (RCHs) are a common place of death. Previous studies have reported a high prevalence of symptoms such as pain and shortness of breath among residents in the last week of life. Objectives: The aim of the study was to explore the presence of symptoms and symptom relief and identify factors associated with symptom relief of pain, nausea, anxiety, and shortness of breat

The present paper reports different applications which have a common data source: Automatic Road Analyzer (ARAN) of the Transport Infrastructure Laboratory of the University of Catania. Data surveyed with ARAN were used to develop performance indicators of the road asset. A BIM model makes possible to improve the flexibility in information access and to merge data with the aim to allow a complete

Hvor godt forstår den unge generation af danskere og svenskere hinanden?Ikke særlig godt, ifølge en undersøgelse foretaget i Malmø og København i efteråret 2012 og foråret 2013. De unge synes heller ikke at være synderligt optaget af, hvad der foregår lige ovre på den anden side af Sundet, hvilket er tankevækkende i en tid, hvor mulighederne for at bevæge sig mellem nabolandene aldrig har været be