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Bvpl01-kursplan

Kursguide - Course Syllabus • • • Fastställande Kursplanen är fastställd av Ledningsgruppen för beteendevetenskapligt kandidatprogram 2016-10-26 att gälla från och med 2017-01-16, vårterminen 2017. Allmänna uppgifter Kursen ges som obligatorisk kurs på termin 4 inom Beteendevetenskapligt kandidatprogram, 180 högskolepoäng.   Undervisningsspråk: Svenska Inslag av engelska och skandinaviska språk ka

https://www.sam.lu.se/internt/sites/sam.lu.se.internt/files/bvpl01-kursplan.pdf - 2026-05-10

Utlysning teman 2017-18 sve

Postal address Pufendorf Insititute, Lund University, Box 117, 221 20 Lund Visiting address Biskopsgatan 3, Lund Website www.pi.lu.se 1 Lund, 1 oktober 2016 Pufendorfinstitutet Inbjudan att inkomma med förslag till "teman" vid Pufendorfinstitutet 2017 Pufendorfinstitutet inbjuder nu till att ansöka om ”tema” med start hösten 2017. Institutets ambition är att, under förutsättning att medel för verk

https://www.pi.lu.se/sites/pi.lu.se/files/utlysning_teman_2017-18_sve.pdf - 2026-05-10

Article In Swedish

Microsoft PowerPoint - 2020 4 Organ för Svenska Sjukhusfysikerförbundet Nr 4 2020 SJUKHUSFYSIKERN SJUKHUSFYSIKERN NR 4 2020 TEMA-EXPERT: Strålsäkerhetsexperten i en tid utan tillit? Christopher L. Rääf. Foto: Lunds universitet/ Kenneth Ruona TEMA-gruppen genom Cristopher L Rääf, Lunds universitet Pufendorfinstitutet vid Lunds universitet har gett anslag till ett multidisciplinärt forskningsförbere

https://www.msf-malmo.lu.se/sites/msf-malmo.lu.se/files/2021-09/Article%20in%20Swedish.pdf - 2026-05-10

Handledning 2016

VÄLKOMMEN TILL KONSTHÖGSKOLAN I MALMÖ! uppdaterad 2016-08-26 Läs detta noga! Begrunda & behåll för framtida rådgivning & konsultation! STUDENTHANDLEDNING Information & regler för studenter vid KONSTHÖGSKOLAN I MALMÖ LUNDS UNIVERSITET läsåret 2016/2017 2 VÄLKOMMEN TILL KONSTHÖGSKOLAN I MALMÖ! Vår postadress är: Konsthögskolan i Malmö Box 4035 203 11 Malmö Besöks-/leveransadress: Föreningsgatan 42 2

https://www.khm.lu.se/sites/khm.lu.se/files/handledning_2016.pdf - 2026-05-10

EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text

Medical research generates a large number of publications with the PubMed database already containing >35 million research articles. Integration of the knowledge scattered across this large body of literature could provide key insights into physiological mechanisms and disease processes leading to novel medical interventions. However, it is a great challenge for researchers to utilize this informa

The genomic natural history of the aurochs

Now extinct, the aurochs (Bos primigenius) was a keystone species in prehistoric Eurasian and North African ecosystems, and the progenitor of cattle (Bos taurus), domesticates that have provided people with food and labour for millennia1. Here we analysed 38 ancient genomes and found 4 distinct population ancestries in the aurochs—European, Southwest Asian, North Asian and South Asian—each of whic

Closed-loop combustion phase control for multiple combustion modes by multiple injections in a compression ignition engine fueled by gasoline-diesel mixture

Partially premixed combustion with low octane fuel aims to reduce NOx and soot emission simultaneously without fuel consumption penalty. Cylinder pressure based combustion phase control is an essential technology for partially premixed combustion. A novel closed-loop combustion phase control strategy for multiple combustion modes is proposed in the current study. The combustion modes are classifie

Combustion sensitivity to the nozzle hole size in an active pre-chamber ultra-lean heavy-duty natural gas engine

Active pre-chamber configurations are considered a valuable solution for improving the operation of the internal combustion engine, in the view to overcome the many challenges it has been made to face. Combining this technology with the use of natural gas, a fuel that has increasing availability and interest in the market share, it is possible to burn ultra-lean mixtures (with air-to-fuel ratios,

A 3D-CFD Methodology for Combustion Modeling in Active Prechamber SI Engines Operating with Natural Gas

Active prechamber combustion systems for SI engines represent a feasible and effective solution in reducing fuel consumption and pollutant emissions for both marine and ground heavy-duty engines. However, reliable and low-cost numerical approaches need to be developed to support and speed-up their industrial design considering their geometry complexity and the involved multiple flow length scales.

Combining in-cylinder pressure and 1D simulation tools to understand the combustion characteristics of natural gas in pre-chamber ignition systems for energy generation

Recent outlooks suggest a long-term relevance of internal combustion engines for both power generation and transportation. Nonetheless, stringent pollutant reduction requirements combined with new CO2 mandates draws a challenging scenario, requiring intensive research and development activities to develop and optimize combustion modes to fulfill these requirements. Among the recent advancements, t

Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning

To avoid over-treatment of prostate cancer patients following screening for elevated prostate-specific antigen (PSA) levels, keeping patients on active surveillance has been suggested as an alternative to radical treatment. This means reoccurring visits for patients with low-grade cancer to monitor progression. The Prostate Cancer Research International Active Surveillance (PRIAS) study was initia

Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies

In recent years, the combination of the digitization of the field of pathology and increased computational power has led to a big increase in research of computer-aided diagnostics using systems based on artificial intelligence (AI). This includes detection and classification of prostate cancer, where several studies have shown great promise in automated prostate cancer grading using deep learning

Start of low temperature reactions detection based on motoring pressure prediction for partially premixed combustion

Partially premixed combustion aims to reduce NOx and particulate matter emission without fuel consumption penalty. Low temperature reactions are important for the partially premixed combustion. In the current study, a self-adaptive strategy is introduced to predict the motoring pressure by means of an equivalent isentropic index. The start of the low temperature reactions is detected when the pres

The Stockholm Festival, 1966

The article is an introduction to the festival 'Visioner av Nuet' Stockholm, 1966. The article focuses on the historical event, and contextualizes it to both the discussions on art and technology at the time, and to the planned collaborations with the prominent artists from the American group E.A.T. such as Billy Klüver, John Cage, Robert Rauchenberg and Öyvind Fahlström, - collaborations that nev

Optimal control of HCCI

HCCI (Homogeneous Charge Compression Ignition) is a very control-intensive combustion concept which has been studied for over a decade because of its favorable combination of high efficiency and low emissions. Various optimal control methods have been applied to HCCI and this chapter gives an overview of them. Optimal control of HCCI can be divided into model based and non-model based where MPC is

Model Predictive Control of Partially Premixed Combustion

Partially premixed combustion is a compression ignited combustion strategy where high exhaust gas recirculation (EGR) levels in combination with early or late injection timing result in a prolonged ignition delay yielding a more premixed charge than with conventional diesel combustion. With this concept it is possible to get low smoke and NOx emissions simultaneously. Accurate control of injection