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Senmesolitiska bosättningar i Kämpingeområdet - En utredning om undersökningar, fynd och arkivkällor som berör senmesolitikum i Kämpingeområdet.
Electron scattering in the delta resonance region
[abstract missing]
Safety Control in a Dynamic Society - What Engineers Have to Understand
No title
Meta-Televisual Aspects of the Art of Dennis Potter
Positioning Accuracy of a Parallel Kinematic Gantry-Tau Robot
Parallel robots are generally said to be more accurate and have a smaller workspace compared to serial robots. With the Gantry-Tau robot, a parallel robot with relatively large workspace was presented. This article examines the end-effector positioning accuracy of the Gantry-Tau robot. End-effector positioning errors arising from joint positioning or modeling errors are studied. A geometric approa
On the capacity of finite state multiple access channels with asymmetric partial state feedback
Low energy reactions with radioactive ions at REX-ISOLDE—the Li-9 + H-2 case
The intestinal microflora
Normative Influence in World Politics. Towards a theoretical framework for norm export and norm import
Amenity Values of Proximity to National Wildlife Refuges: An analysis of urban residential property values
Get a Hold of Yourself
The commercialisation of the peasant economy - markets and agricultural production in southern Sweden 1711-1860
Tekniska hjälpmedel bland äldre personer; likheter och skillnader mellan fem Europeiska länder.
Att definiera familjetillhörighet - utgångspunkter för familjeförmåner i ett komparativt perspektiv
Global Governance of Biofuels for Transport: Viewpoints of Key Stakeholders?
In the context of the emerging bioeconomy, the production and use of biofuels for transport is expanding rapidly around the world. This development presents both exciting opportunities and significant risks. Not least because biofuels are intimately connected to (and impacting on) food, water, climate and economic systems. The implications of different production chains and the international trade
Load control procedures for intelligent networks
Learning characteristic decision trees
Decision trees constructed by ID3-like algorithms suffer from an inability of detecting instances of categories not present in the set of training examples, i.e., they are discriminative representations. Instead, such instances are assigned to one of the classes actually present in the training set, resulting in undesired misclassifications. Two methods of reducing this problem by learning charact