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Schema MVES02 HT22, 221007
MILJÖVETENSKAP Preliminärt schema 2022-10-07 Kurs: Styrning och styrmedel för en hållbar ekonomi (MVES02) Kursansvarig: Carl Dalhammar Lärare: Carl Dalhammar (CD), Leonidas Milios (LM), Sofie Sandin (SS), Anna-Riikka Kojonsaari (ARK), Lars Hansson (LH), Cornelia Hartman (CH), Hanna Axelsson (HA) Lokaler: Samtliga lektioner och seminarier hålls på IIIEE. De flesta i rum 133 el rum 139 som ligger på
https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/2022-10/Schema%20MVES02%20HT22,%20221007.pdf - 2026-07-15
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Subcellular localization is an important protein property, which is related to function, interactions and other features. As experimental determination of the localization can be tedious, especially for large numbers of proteins, a number of prediction tools have been developed. We developed the PROlocalizer service that integrates 11 individual methods to predict altogether 12 localizations for a
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In recent years, Unmanned Aerial Vehicles (UAVs)have been used extensively in military and civilian fields, making the research on cellular-connected UAVs a popular topic forFifth Generation (5G) and beyond communications. In order to support the increasing amount of applications, it is essential to evaluate the performance of UAV communications. In this work, the end-to-end delay, packet success
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Speech Emotion Recognition (SER) opens up the possibility to collect opinions from people in channels that have not be conceivable before, such as youtube videos, podcasts or phone calls. SER is becoming more advanced, and the SER models that have been published recently are reaching accuracy-results well beyond state of the arts. However, SER is not a simple task and it is most common that the mo
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Schema mven16 ht18 2nov18
MILJÖVETENSKAP Schema 2018-11-02 Kurs: MVEN16 Klimatpolitik, samhällsstyrning och kommunikation, HT18 Kursansvarig: RH: Roger Hildingsson, Statsvetenskapliga inst; roger.hildingsson@svet.lu.se Lärare: CD: Carl Dalhammar, IIIEE; carl.dalhammar@iiiee.lu.se JAO: Johanna Alkan Olsson, CEC/Miljövetenskap; johanna.alkan_olsson@cec.lu.se JK: Jamil Khan, Miljö- och energisystemanalys, LTH; jamil.khan@milj
https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/schema_mven16_ht18_2nov18.pdf - 2026-07-15
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Improvements in metabolite-profiling techniques are providing increased breadth of coverage of the human metabolome and may highlight biomarkers and pathways in common diseases such as diabetes. Using a metabolomics platform that analyzes intermediary organic acids, purines, pyrimidines, and other compounds, we performed a nested case-control study of 188 individuals who developed diabetes and 188
