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The feasibility of using Pareto fronts for comparison of treatment planning systems and delivery techniques

Pareto optimality is a concept that formalises the trade-off between a given set of mutually contradicting objectives. A solution is said to be Pareto optimal when it is not possible to improve one objective without deteriorating at least one of the other. A set of Pareto optimal solutions constitute the Pareto front. The Pareto concept applies well to the inverse planning process, which involves

Mven03 schema ht17 170822. v.6

MILJÖVETENSKAP Planering/schema 170822 Kurs: MVEN03 - Miljövetenskap: Analys och metodik, 15 hp HT 2017 Kursansvarig: Nina Reistad NR nina.reistad@fysik.lth.se Lärare: Estelle Larsson EL estelle.larsson@med.lu.se Per Erik Isberg PEI per-erik.isberg@stat.lu.se Pål Axel Olsson PAO pal_axel.olsson@biol.lu.se Martijn van Praagh MVP martijn.van_praagh@mv.lu.se Sofia Mebrahtu Wisén SMW sofia.mebrahtu_wi

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/mven03_schema_ht17_170822._v.6.pdf - 2026-05-11

Mven03 schema ht17 170822 v.7

MILJÖVETENSKAP Planering/schema 170822 Kurs: MVEN03 - Miljövetenskap: Analys och metodik, 15 hp HT 2017 Kursansvarig: Nina Reistad NR nina.reistad@fysik.lth.se Lärare: Estelle Larsson EL estelle.larsson@med.lu.se Per Erik Isberg PEI per-erik.isberg@stat.lu.se Pål Axel Olsson PAO pal_axel.olsson@biol.lu.se Martijn van Praagh MVP martijn.van_praagh@mv.lu.se Sofia Mebrahtu Wisén SMW sofia.mebrahtu_wi

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/mven03_schema_ht17_170822_v.7.pdf - 2026-05-11

Mven03 schema ht17 170824

MILJÖVETENSKAP Planering/schema 170824 Kurs: MVEN03 - Miljövetenskap: Analys och metodik, 15 hp HT 2017 Kursansvarig: Nina Reistad NR nina.reistad@fysik.lth.se Lärare: Estelle Larsson EL estelle.larsson@med.lu.se Per Erik Isberg PEI per-erik.isberg@stat.lu.se Pål Axel Olsson PAO pal_axel.olsson@biol.lu.se Martijn van Praagh MVP martijn.van_praagh@mv.lu.se Sofia Mebrahtu Wisén SMW sofia.mebrahtu_wi

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/mven03_schema_ht17_170824.pdf - 2026-05-11

Mven03 schemamv ht17 v5 170814 webb

MILJÖVETENSKAP Preliminärt schema 170814 Kurs: MVEN03 - Miljövetenskap: Analys och metodik, 15 hp HT 2017 Kursansvarig: Nina Reistad NR nina.reistad@fysik.lth.se Lärare: Sofia Hydbom SH sofia.hydbom@biol.lu.se Estelle Larsson EL estelle.larsson@med.lu.se Per Erik Isberg PEI per-erik.isberg@stat.lu.se Pål Axel Olsson PAO pal_axel.olsson@biol.lu.se Martijn van Praagh MVP martijn.van_praagh@mv.lu.se

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/mven03_schemamv_ht17_v5_170814_webb.pdf - 2026-05-11

Fallet Liberia. En studie om aktörers påverkan på beslut om internationella insatser.

The aim of this study is to investigate what factors shaped the decision making process regarding the Swedish military contribution to UN mission in Liberia 2003. At the time Sweden already had an on-going mission in the Democratic Republic of Congo and the Swedish Armed Forces was in the midst of a thoroughgoing reform of its military forces as well as its core objectives. The focus of the study

Schema mveb15 vt2019 v5

MILJÖVETENSKAP Preliminärt schema datum 2018-12-10 Kurs: MVEB15 Miljöpolitik och förvaltning Kursansvarig: Åsa Knaggård Lärare: Elias Isaksson (EI), Åsa Knaggård (ÅK), Tobias Nielsen (TN), Maja Tejre (MT) Lokaler: Raggmossan, Ekologihuset Litteratur: Carter, Neil (2018). The politics of the environment. Ideas, activism, policy . Tredje upplagan. Cambridge: Cambridge University Press. Dahlström, Ca

https://www.cec.lu.se/sv/sites/cec.lu.se.sv/files/schema_mveb15_vt2019_v5.pdf - 2026-05-11

Rapid prediction of soil hydraulic and physicochemical properties using the Nix Pro color sensor

Color is the most obvious and easily determined soil property that can provide crucial information about soil composition. The NIX™ Pro color sensor (Nix) presents a user-friendly alternative to the traditional Munsell manual method, with reduced sensitivity to environmental and human factors. Therefore, a new method was developed to use Nix in combination with machine learning to quickly and affo