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| 3. |
- Bouskill, Lisa M., et al.
(författare)
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The relationship between ventilation index and thermal insulation
- 1998
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Ingår i: Proceedings / ICCE8 the 8th International Conference on Environmental Ergonomics, 18-23 October 1998, San Diego, California, USA. - : International Conference on Environmental Ergonomics. - 0966695305
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Konferensbidrag (refereegranskat)
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| 4. |
- Kefato, Zekarias Tilahun, et al.
(författare)
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Dynamic embeddings for interaction prediction
- 2021
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Ingår i: The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. - New York, NY, USA : Association for Computing Machinery, Inc. ; , s. 1609-1618
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Konferensbidrag (refereegranskat)abstract
- In recommender systems (RSs), predicting the next item that a user interacts with is critical for user retention. While the last decade has seen an explosion of RSs aimed at identifying relevant items that match user preferences, there is still a range of aspects that could be considered to further improve their performance. For example, often RSs are centered around the user, who is modeled using her recent sequence of activities. Recent studies, however, have shown the effectiveness of modeling the mutual interactions between users and items using separate user and item embeddings. Building on the success of these studies, we propose a novel method called DeePRed that addresses some of their limitations. In particular, we avoid recursive and costly interactions between consecutive short-term embeddings by using long-term (stationary) embeddings as a proxy. This enable us to train DeePRed using simple mini-batches without the overhead of specialized mini-batches proposed in previous studies. Moreover, DeePRed's effectiveness comes from the aforementioned design and a multi-way attention mechanism that inspects user-item compatibility. Experiments show that DeePRed outperforms the best state-of-the-art approach by at least 14% of Mean Reciprocal Rank (MRR) on next item prediction task, while gaining more than an order of magnitude speedup over the best performing baselines. Although this study is mainly concerned with temporal interaction networks, we also show the power and flexibility of DeePRed by adapting it to the case of static interaction networks, substituting the short- and long-term aspects with local and global ones.
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| 5. |
- Kefato, Zekarias Tilahun, et al.
(författare)
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Gossip and Attend: Context-Sensitive Graph Representation Learning
- 2020
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Ingår i: In Proc. of the 14-th International AAAI Conference on Web and Social Media, ICWSM'20.
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Konferensbidrag (refereegranskat)abstract
- Graph representation learning (GRL) is a powerful techniquefor learning low-dimensional vector representation of high-dimensional and often sparse graphs. Most studies explore thestructure and metadata associated with the graph using ran-dom walks and employ an unsupervised or semi-supervisedlearning schemes. Learning in these methods is context-free,resulting in only a single representation per node. Recentlystudies have argued on the adequacy of a single representationand proposed context-sensitive approaches, which are capa-ble of extracting multiple node representations for differentcontexts. This proved to be highly effective in applicationssuch as link prediction and ranking.However, most of these methods rely on additional textualfeatures that require complex and expensive RNNs or CNNsto capture high-level features or rely on a community detec-tion algorithm to identify multiple contexts of a node.In this study we show that in-order to extract high-qualitycontext-sensitive node representations it is not needed to relyon supplementary node features, nor to employ computa-tionally heavy and complex models. We propose GOAT,acontext-sensitive algorithm inspired by gossip communica-tion and a mutual attention mechanism simply over the struc-ture of the graph. We show the efficacy of GOATusing 6 real-world datasets on link prediction and node clustering tasksand compare it against 12 popular and state-of-the-art (SOTA)baselines. GOATconsistently outperforms them and achievesup to 12% and 19% gain over the best performing methodson link prediction and clustering tasks, respectively.
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| 6. |
- Kefato, Zekarias Tilahun, et al.
(författare)
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Graph Neighborhood Attentive Pooling
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Network representation learning (NRL) is a powerful technique for learning low-dimensional vector representation of high-dimensional and sparse graphs. Most studies explore the structure and metadata associated with the graph using random walks and employ an unsupervised or semi-supervised learning schemes. Learning in these methods is context-free, because only a single representation per node is learned. Recently studies have argued on the sufficiency of a single representation and proposed a context-sensitive approach that proved to be highly effective in applications such as link prediction and ranking.However, most of these methods rely on additional textual features that require RNNs or CNNs to capture high-level features or rely on a community detection algorithm to identify multiple contexts of a node.In this study, without requiring additional features nor a community detection algorithm, we propose a novel context-sensitive algorithm called GAP that learns to attend on different parts of a node's neighborhood using attentive pooling networks. We show the efficacy of GAP using three real-world datasets on link prediction and node clustering tasks and compare it against 10 popular and state-of-the-art (SOTA) baselines. GAP consistently outperforms them and achieves up to ~9% and ~20% gain over the best performing methods on link prediction and clustering tasks, respectively.
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| 7. |
- Marimon Giovannetti, Laura, et al.
(författare)
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The art of model testing: Using CFD to adapt traditional tank testing techniques to a new era of wind propelled shipping
- 2020
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Konferensbidrag (refereegranskat)abstract
- Hybrid testing is an experimental technique that can be used to test ships and marine structures when both hydrodynamic and aerodynamic effects are important, for example for wind powered or wind assisted ships and sailing vessels. SSPA is currently developing an experimental method using hybrid testing involving fan forces added to ship decks to simulate sails to assess the course keeping, seakeeping and manoeuvring performance of a wind powered ship. For conventional motor ships there are well established test methods and knowledge on how to scale the results from model to full-scale. For a wind propelled ship however, the driving force is no longer located at the propeller shaft but high above deck and at another longitudinal position that could vary with true wind angle and speed. Moreover, there is a large side force coming from the aerodynamic forces of the wingsails that needs to be counteracted with lifting surfaces underwater. The side-force and yaw moment are much more prominent than in conventional vessels. The combination of those factors will influence the manoeuvrability and course keeping, especially in waves. Having built up the research tools for predicting and simulating the behaviour of a full-scale vessel, making the model sail in a similar way as predicted for the full-scale vessel remains a challenge because of the difference between Froude scaling and Reynolds scaling applicable for the hull and lifting surfaces respectively. Using Computational Fluid Dynamics (CFD) to understand the scale effects in model tests for a wind powered ship and developing a methodology for determining the fan parameters that correctly model the ships behaviour and performance are the key objectives of the research study. The art of model testing encompasses the need to learn from different techniques to ultimately achieve the best agreement between model tests and full-scale results in terms of accuracy, repeatability, cost, and speed. Learning from preliminary experimental tests, through studies on CFD and ultimately paving the way to new testing methodologies is the main aim of the current paper.
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| 8. |
- Simonsson, Maria, 1960-, et al.
(författare)
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Att administrera övergångar : En analys av Skolverkets stödmaterial om övergångar i skolan
- 2015
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Ingår i: Venue. - Linköpings universitet. - 2001-788X. ; 9, s. 1-6
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Vilken kunskap finns tillgänglig för att underlätta skolans arbete med barns övergångar och vilket fokus har denna information? Vi har analyserat Skolverkets stödmaterial om övergångar för att se vilka riktlinjer som verksamheterna har att förhålla sig till. Kontinuitet framstår som önskvärt och råden handlar i hög utsträckning om hur skolan och förskolan ska arbeta med att skapa rutiner för detta, men också om vad det är för typ av information som ska överlämnas.
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| 9. |
- Bousquet, Antoine
(författare)
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War
- 2012
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Ingår i: The Wiley-Blackwell Companion to Political Sociology. - Chichester : Wiley-Blackwell. - 9781444330939 ; , s. 180-189
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Bokkapitel (refereegranskat)
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| 10. |
- Sloniecka, Marta, 1983-, et al.
(författare)
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Acetylcholine induces proliferation of keratocytes through activation of muscarinic receptors
- 2015
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Ingår i: Investigative Ophthalmology and Visual Science. - : Association for Research in Vision and Ophthalmology. - 0146-0404 .- 1552-5783. ; 56:7
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Purpose: The corneal wound healing response is a complex process involving cytokine-mediated interactions between epithelial cells, keratocytes of the stroma, corneal nerves, tear film, and cells of the immune system. The outcome of the response plays a critical role in the preservation of corneal transparency after injury. The wound healing cascade includes epithelial surface closure, keratocyte apoptosis, proliferation and migration, formation of myofibroblasts, and stromal remodeling. Acetylcholine (ACh) is regarded as a classical neurotransmitter. However, cells outside of the nervous system have been shown to contain and release ACh. It has been reported that ACh stimulates fibroblast and epithelial cells to proliferate, has an anti-inflammatory effect in macrophages, and upregulates collagen gene expression in fibroblasts. ACh, its muscarinic receptors (mAChRs) and choline acetyltransferase (ChAT; the enzyme responsible for synthesizing ACh) have been shown to be present in corneal epithelium. However, their role in the corneal stroma and corneal injury has not been extensively studied. We hypothesize that ACh, upon injury, induces corneal stroma cell proliferation, thus promoting the process of wound healing.Methods: Primary human corneal stroma cells were derived from healthy corneas obtained from the local cornea bank. Immunocytochemistry was performed to delineate intracellular presence of ChAT and to characterize mAChRs. Crystal violet and MTS assay were used to asses ACh induced cell proliferation. Expression of the proliferation markers PCNA and Ki67 was analyzed by western blot. To determine what type of ACh receptors are involved in ACh induced proliferation, atropine and mecamylamine were used to block muscarininc or nicotinic ACh receptors, respectively.Results: Stromal cells expressed ChAT as well as mAChRs of subtypes M1, M3, M4, and M5. Stimulation of stromal cells with ACh led to increased cell viability and metabolic activity. Expression of PCNA and Ki67 was upregulated in ACh treated cells. Furthermore, mAChRs were the receptor group primarily involved in ACh induced proliferation.Conclusions: Corneal stroma cells express ChAT and mAChRs. ACh induces stroma cell proliferation through mainly mAChRs, which suggest that ACh may play an important role in corneal wound healing i.e. wound closure and generation on myofibroblasts.
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