| 1. |
- Dupre, C
(författare)
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How to determine a regional species pool: a study in two Swedish regions
- 2000
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Ingår i: OIKOS. - : MUNKSGAARD INT PUBL LTD. - 0030-1299. ; 89:1, s. 128-136
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Tidskriftsartikel (refereegranskat)abstract
- The species pool hypothesis has been proposed as one of the possible explanations for the local species richness of plant communities. For testing and validating this theory, it is of crucial importance to determine the dimension of the regional pool, whi
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| 2. |
- Clementsson, Bonnie
(författare)
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Incest in Sweden 1680–1940 : A history of forbidden relations
- 2020
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Bok (refereegranskat)abstract
- This study brings out the norms and culturally dependent values that formed the basis of the theoretical regulation and the practical handling of incest cases in Sweden 1680–1940, situating this development in a wider European context. It discusses a broad variety of general human subjects that are as important today as they were hundreds of years ago, such as love, death, family relations, religion, crimes, and punishments.By analysing criminal-case material and applications for dispensation, as well as political and legislative sources, the incest phenomenon is explored from different perspectives over a long time period. It turns out that although the incest debate has been dominated by religious, moral, and later medical beliefs, ideas about love, age, and family hierarchies often influenced the assessment of individual incest cases. These unspoken values could be decisive – sometimes life-determining – for the outcome of various incest cases.
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| 3. |
- Kerstin, Berglund, 1961-
(författare)
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6:e Nordiska kvinnojuristmötet
- 1989
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Ingår i: Retfærd. Nordisk Juridisk Tidsskrift. - Copenhagen : Jurist- og Oekonomforbundets Forlag A/S. - 0105-1121. ; 10:39, s. 108-110
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 4. |
- Wolf, Olof, et al.
(författare)
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Study protocol: HipSTHeR - a register-based randomised controlled trial - hip screws or (total) hip replacement for undisplaced femoral neck fractures in older patients
- 2020
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Ingår i: BMC Geriatrics. - : Springer Science and Business Media LLC. - 1471-2318. ; 20:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Femoral neck fractures (FNFs), which are common in the older population, are associated with high mortality and morbidity. Some 20% of FNFs are undisplaced (uFNFs). The routine surgical procedure for uFNFs is internal fixation (IF) with 2-3 screws/pins with a reported reoperation rate in older patients (age >= 75 years) of up to 21%. The reoperation rate for hemiarthroplasties for displaced fractures is lower than for undisplaced fractures operated with IF. This study will aim to determine whether the outcome for older patients with an uFNF can be improved by replacing the hip instead of preserving it. Methods: A national multicentre, register-based, randomised controlled trial (rRCT) will be conducted. For this trial, 1440 patients, >= 75 years with an acute uFNF, will be allocated. Eligible patients will be identified by the Swedish Fracture Register (SFR) platform, which will notify the admitting orthopaedic surgeon of eligibility. After informed consent has been given and documented, patients will be randomised to either IF (control group) or arthroplasty (intervention group) within the SFR platform. Injury mechanism, fracture classification, date of injury, and type of treatment are registered in the SFR. Type and brand of arthroplasty, surgical approach, and fixation are obtained from the Swedish Hip Arthroplasty Register (SHAR). The study cohort from the SFR will be cross-checked with the National Patient Register and the SHAR for outcome variables at 2, 5, and 10 years. The primary outcome will be a composite variable comprising reoperation rate and mortality at 2 years postoperatively. Secondary endpoints will include reoperation rate and mortality as stand-alone variables. In addition, secondary endpoints will be patient-reported outcomes as measured by the Short Musculoskeletal Functional Assessment questionnaire at 1 year postoperatively as routinely collected within the SFR. Further secondary endpoints will include the occurrence of adverse events such as pneumonia, stroke or myocardial infarction and evaluation of the external validity of the study. Discussion: This large, multicentre, register-based randomised controlled trial could potentially shift the treatment of uFNFs in older patients towards primary hip arthroplasty in order to improve the outcome.
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| 5. |
- Stromann, Oliver, 1992-
(författare)
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Data-Driven Classification in Road Networks
- 2022
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Connected and autonomous vehicles (CAVs) are an emerging trend in the transport sector and their impact on transportation, the economy, society and the environment will be tremendous. Much like the automobile shaped the way humans travelled, lived and worked during the 20th century, CAVs have yet again the potential to affect and reform all of these areas. Besides the imminent technological challenges on the robotic aspect of making CAVs become a market-ready reality, a plethora of ethical, social and legal questions will have to be addressed along the line. Knowledge of and interaction with the surrounding infrastructure and other actors in the system will be essential for CAVs in order to pave the way for progressive solutions to urgent sustainability and mobility issues in transportation.Road networks, i.e. the networks of roads and intersections, are the core infrastructure on which CAVs will operate. Thus, having detailed knowledge about them is key for CAVs in order to take the right decisions on both short-term actions that will affect individual traffic users in immediate situations and long-term actions that will affect entire transportation systems in the long run. Machine learning is nowadays a popular choice to extract and conglomerate knowledge from large amounts of data – and large amounts of data can be obtained about road networks. However, classical machine learning models are incapable of harnessing the graph-structured nature of road networks sufficiently.Graph neural networks (GNNs) are machine learning models of growing popularity that can explicitly leverage the complex topological structure of node dependencies in graphs, such as the ones observed in road networks. Road networks are sparse graphs that reside in a euclidean space, and therefore different to typical graphs studied in the literature. Also, crowd-sourced road network graphs often have incomplete attributes and are generally lacking the fine-grained level of detail in their encoded information that would be required for CAVs. Identifying the best representation of road network graphs and complementing their lacking detail with auxiliary data is therefore an important research direction.This thesis, therefore, addresses data-driven classification in road networks from two directions: A) the general approach of learning on spatial graphs of road network with GNNs, and B) complementing road network graphs with auxiliary data. Specifically, this thesis and the included papers address the exemplary task of road classifications and make the following contributions to the field:Paper A analyses how GNNs can be applied to road networks and how the networks are best represented. Different aggregator functions are compared on final classification performances. A novel aggregator and a neighbourhood sampling method are introduced, and the line graph transformation is identified as a suitable representation of road network graphs for GNNs.Paper B complements the road network graphs with mobility data from millions of GPS trajectories and introduces an equitemporal node spacing to create road segments of equal travel time. It further introduces remote sensing vision data as a potent complement to overcome shortcom-ings of the graph-based representation for road networks. Simple hand-crafted low-level vision features are used in this work. However, both the equitemporal node spacing and the simple vision features clearly exhibit improved classification performances.Finally, Paper C consolidates the complement of remote sensing data to the road network graphs. Through a general visual feature encoding of state-of-the-art pretrained vision back-bones that are carefully fine-tuned to the remote sensing domain, a further performance boost on the road classification task is achieved.
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| 6. |
- Wang, Chao, et al.
(författare)
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Superposition-repetition-coded successive decode-and-forward relaying with limited destination-relay feedback
- 2010
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Ingår i: IEEE Wireless Communications and Networking Conference.
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Konferensbidrag (refereegranskat)abstract
- A novel cooperative diversity transmission protocol using two K-antenna decode-and-forward relays to take turns assisting in the communication between a single-antenna source and its intended N-antenna destination is studied. A (1+2?logK?)-bit destination-relay feedback signal is exploited to perform relay/antenna selection. Two different simple forwarding strategies are applied at the relays: one relay uses a superposition-coding strategy while the other relay uses a repetition-coding strategy. When the source's frame length is sufficiently large, the optimal diversity-multiplexing tradeoff of the four-node network can be achieved asymptotically if K = 3.
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| 7. |
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| 8. |
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| 9. |
- Chaudron, Laurent, et al.
(författare)
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1st Order Logic Formal Concept Analysis: From Logic Programming to Theory
- 1998
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In this paper, we analyze and define the introduction of 1st order logic in Formal Concept Analysis (FCA); the aims are both theoretical (as a complete model is needed) and applied (so as to improve expression power of FCA as a knowledge mining tool and the relevance of its results). Our contribution consists in: i) the implementation of classical FCA in logic programming and the analysis of real cases, ii) the design of a complete 1st order FCA model, iii) the implementation of this 1st order FCA.
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| 10. |
- Wang, Chunlei, et al.
(författare)
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Stabilization of Cu2O through Site-Selective Formation of a Co1Cu Hybrid Single-Atom Catalyst
- 2022
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Ingår i: Chemistry of Materials. - : American Chemical Society (ACS). - 0897-4756 .- 1520-5002. ; 34:5, s. 2313-2320
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Tidskriftsartikel (refereegranskat)abstract
- Single-atom catalysts (SACs) consist of a low coverage of isolated metal atoms dispersed on a metal substrate, called single-atom alloys (SAAs), or alternatively single metal atoms coordinated to oxygen atoms on an oxide support. We present the synthesis of a new type of Co1Cu SAC centers on a Cu2O(111) support by means of a site-selective atomic layer deposition technique. Isolated metallic Co atoms selectively coordinate to the native oxygen vacancy sites (Cu sites) of the reconstructed Cu2O(111) surface, forming a Co1Cu SAA with no direct Co- Ox bonds. The centers, here referred to as Co1Cu hybrid SACs, are found to stabilize the active Cu+ sites of the low-cost Cu2O catalyst that otherwise is prone to deactivation under reaction conditions. The stability of the Cu2O(111) surface was investigated by synchrotron radiation-based ambient-pressure X-ray photoelectron spectroscopy under reducing CO environment. The structure and reduction reaction are modeled by density functional theory calculations, in good agreement with experimental results.
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