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The Acquirer’s Multiple - En empirisk studie på historisk data och dess potential att generera riskjusterad överavkastning.

Purpose: This study’s purpose is to examine if it’s possible through the Value Investing strategy The Acquirer’s Multiple to generate riskadjusted excess return during the period 2003-03-01 to 2016-03-01. Method: A study in the form of a quantitative method based on Tobias E. Carlisle formula The Acquirer’s Multiple with data extracted on a monthly basis from Thompson Reuters Datastream. Theory

Publication in cells - direct conversion

Direct Conversion of Human Stem Cell-Derived Glial Progenitor Cells into GABAergic Interneurons cells Article Direct Conversion of Human Stem Cell-Derived Glial Progenitor Cells into GABAergic Interneurons Jessica Giacomoni 1, Andreas Bruzelius 2 , Christina-Anastasia Stamouli 2 and Daniella Rylander Ottosson 2,* 1 Group of Developmental and Regenerative Neurobiology, Wallenberg Neuroscience Cente

https://www.regenerative-neurobiology.lu.se/sites/regenerative-neurobiology.lu.se/files/publication_in_cells_-_direct_conversion.pdf - 2026-06-07

06212016 679 58 vehik diab care 2016 0

Reversion of β-Cell Autoimmunity Changes Risk of Type 1 Diabetes: TEDDY Study Reversion of b-Cell Autoimmunity Changes Risk of Type 1 Diabetes: TEDDY Study DOI: 10.2337/dc16-0181 OBJECTIVE b-Cell autoantibodies are a feature of the preclinical phase of type 1 diabetes. Here, we asked how frequently they revert in a cohort of children at risk for type 1 diabetes and whether reversion has any effect

https://www.teddy.lu.se/sites/teddy.lu.se/files/06212016_679_58_vehik_diab_care_2016_0.pdf - 2026-06-07

The influence of relative humidity on rhinovirus infectivity in the aerosol phase

Introduction: The recent Covid-19 pandemic has renewed interest in studying the impact of environmental factors on the airborne transmission of viral infectious diseases. Human rhinovirus is the main cause of acute respiratory infections, primarily driven by young children who have an average of 6 -10 infections annually, while healthy adults typically experience 2–3 infections per year. Although

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

Valentin Jeutner

Professor Contact details Email: valentin [dot] jeutner [at] jur [dot] lu [dot] se Phone: +46 46 222 11 18Organisation Department of Law Room number: 504 Service point: 56 WebpageValentin Jeutners profile in Lund University research portalOther affiliations Researcher Human Rights Law Profile area member LU Profile Area: Human rights Researcher Public International Law Associate professor Departme

https://www.humanrights.lu.se/valentin-jeutner - 2026-06-06

Temperature control strategy for polymer electrolyte fuel cells

A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy directly to electrical energy, and its performance greatly depends on its operating temperature. Therefore, in this paper, a novel thermodynamic PEFC model with the airflow cooling method is firstly developed for the PEFC system. Then, a novel model predictive control (MPC) controller is designed to c

A multi-input and single-output voltage control for a polymer electrolyte fuel cell system using model predictive control method

Efficient and robust control strategies can greatly contribute to the reliability of fuel cell systems, and a stable output voltage is a key criterion for evaluating a fuel cell system's reliability as a power source. In this study, a polymer electrolyte fuel cell (PEFC) system model is developed, and its performances under different operating conditions are studied. Then two different novel contr

Utvc25 2017 course welcome letter

Department of Human Geography 2017: Welcome to UTVC25 Development Studies: Development Cooperation in Practice, 15 credits 2017-08-06 Welcome to UTVC25 Development Studies: Development Cooperation in Practice (15 credits)! We are looking forward to your participation in the course UTVC25. The course begins on August 29th, 2017 and ends on October 29th, 2017. Course page and course documents The li

https://www.keg.lu.se/sites/keg.lu.se/files/utvc25_2017_course_welcome_letter.pdf - 2026-06-07

2007cv aleksandra kucharska

Born 1981 in Gdansk, Poland Lives and works in Malmö, Sweden Education 2002-2007 Malmö Art Academy, MA fine arts, Lund University 2000-2002 Munka Konstskola, Munka Ljungby Selected Exhibitions 2015 Växjö Konsthall, Växjö (solo) Galleri Thomas Wallner, Simris (solo) Sverige, Galleri 21, Malmö Polyfoni 3, Galleri Thomas Wallner, Simris 2014 Liljevalchs Konsthall (skulpturhallen), Stockholm (solo) Jö

https://www.khm.lu.se/sites/khm.lu.se/files/2007cv_aleksandra_kucharska.pdf - 2026-06-07

Generalsafetyroutines

General safety routines and info DEPARTMENT OF BIOLOGY | LUND UNIVERSITY 2 GENERAL SAFETY ROUTINES AND INFO Table of contents In the lab .......................................................................................................... 3 Sign checklist ............................................................................................. 3 Risk assement .............................

https://www.biologi.lu.se/internt/sites/biologi.lu.se.internt/files/2022-07/generalsafetyroutines.pdf - 2026-06-07

Foreskrifter-rorande-anstallning-av-larare20130615

Brevmall Universitetsstyrelsen Föreskrifter rörande anställning av lärare Lunds universitets anställningsordning (justerad 2013-06-15) Inledning Nuvarande och blivande lärare vid Lunds universitet är förutsättningen för framgång i såväl utbildning och forskning som innovation och samverkan med samhället i stort. Rekrytering såväl som främjande av nuvarande lärares utveckling är således viktigt för

https://www.medarbetarwebben.lu.se/sites/medarbetarwebben.lu.se/files/foreskrifter-rorande-anstallning-av-larare20130615.pdf - 2026-06-07

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for preoperative lymph node metastasis prediction. Mammograms and clinicopathological data from 1265 cN0 T1-T2 breast cancer patients (primary surge

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

IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL INFORMATION SYSTEM AND REMOTE SENSING

Mangroves provide numerous environmental benefits, such as carbon sequestration, water purification, climate change mitigation, and flood and Tsunami impact reduction. Despite these unique advantages, mangroves are threatened by the combined adverse impacts of human activities and climate change. Therefore, it is essential to implement reasonable practices to avoid further degradation of mangroves

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

Combustion characteristics of gasoline DICI engine in the transition from HCCI to PPC : Experiment and numerical analysis

Both numerical simulations and experiments were conducted in a heavy-duty DICI engine, with PRF81 as a gasoline surrogate, to investigate how the fuel stratification, auto-ignition and combustion are affected by the start of injection (SOI). The intake air temperature was adjusted to keep the combustion phasing constant when the SOI was swept from −100 to −20 oCA ATDC, covering different regimes o