Institution
University of Stirling
Education•Stirling, Stirling, United Kingdom•
About: University of Stirling is a education organization based out in Stirling, Stirling, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 7722 authors who have published 20549 publications receiving 732940 citations. The organization is also known as: Stirling University.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors developed a new Remote Sensing (RS) approach to assess the trophic state of global inland water bodies based on MODIS imagery and the Forel-Ule index (FUI) calculated from MODIS data by dividing natural water colour into 21 indices from dark blue to yellowish-brown.
155 citations
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TL;DR: In this article, the role of human operator becomes less to control and more to monitor complex systems, and subjective workload is of increasing importance in user-machine systems, as the role becomes to monitor and control complex systems.
Abstract: Subjective workload is of increasing importance in user-machine systems, as the role of the human operator becomes less to control and more to monitor complex systems. This paper reviews the relati...
155 citations
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TL;DR: This special issue presents both data‐driven examples and more general discussions that describe how ethnoprimatological approaches can be both a contribution to the core theory and practice of primatology and a powerful tool in the goal of conservation action.
Abstract: Recent and long-term sympatries between humans and nonhuman primates (hereafter primates) are central to the behavioral ecology, conservation, and evolutionary trajectories of numerous primate species. Ethnoprimatology emphasizes that interconnections between humans and primates should be viewed as more than just disruptions of a "natural" state, and instead anthropogenic contexts must be considered as potential drivers for specific primate behavioral patterns. Rather than focusing solely on the behavior and ecology of the primate species at hand, as in traditional primatology, or on the symbolic meanings and uses of primates, as in socio-cultural anthropology, ethnoprimatology attempts to merge these perspectives into a more integrative approach. As human pressures on environments continue to increase and primate habitats become smaller and more fragmented, the need for a primatology that considers the impact of human attitudes and behavior on all aspects of primate lives and survival is imperative. In this special issue, we present both data-driven examples and more general discussions that describe how ethnoprimatological approaches can be both a contribution to the core theory and practice of primatology and a powerful tool in our goal of conservation action.
155 citations
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TL;DR: EmoSenticSpace, a new framework for affective common-sense reasoning that extends WordNet-Affect and SenticNet by providing both emotion labels and polarity scores for a large set of natural language concepts, is proposed.
Abstract: Emotions play a key role in natural language understanding and sensemaking. Pure machine learning usually fails to recognize and interpret emotions in text accurately. The need for knowledge bases that give access to semantics and sentics (the conceptual and affective information) associated with natural language is growing exponentially in the context of big social data analysis. To this end, this paper proposes EmoSenticSpace, a new framework for affective common-sense reasoning that extends WordNet-Affect and SenticNet by providing both emotion labels and polarity scores for a large set of natural language concepts. The framework is built by means of fuzzy c-means clustering and support-vector-machine classification, and takes into account a number of similarity measures, including point-wise mutual information and emotional affinity. EmoSenticSpace was tested on three emotion-related natural language processing tasks, namely sentiment analysis, emotion recognition, and personality detection. In all cases, the proposed framework outperforms the state-of-the-art. In particular, the direct evaluation of EmoSenticSpace against psychological features provided in the benchmark ISEAR dataset shows a 92.15% agreement.
155 citations
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TL;DR: This review explores the relationship between probiotics, immunostimulants, plant products and oral vaccines in immunomodulation and finds numerous plant products have been reported to have health benefits, namely protection against disease for which stimulation of some immune parameters has been reported.
Abstract: There is a rapidly increasing literature pointing to the success of probiotics, immunostimulants, plant products and oral vaccines in immunomodulation, namely stimulation of the innate, cellular and/or humoral immune response, and the control of bacterial fish diseases. Probiotics are regarded as live micro-organisms administered orally and leading to health benefits. However, in contrast with the use in terrestrial animals, a diverse range of micro-organisms have been evaluated in aquaculture with the mode of action often reflecting immunomodulation. Moreover, the need for living cells has been questioned. Also, key subcellular components, including lipopolysaccharides, have been attributed to the beneficial effect in fish. Here, there is a link with immunostimulants, which may also be administered orally. Furthermore, numerous plant products have been reported to have health benefits, namely protection against disease for which stimulation of some immune parameters has been reported. Oral vaccines confer protection against some diseases, although the mode of action is usually linked to humoral rather than the innate and cellular immune responses. This review explores the relationship between probiotics, immunostimulants, plant products and oral vaccines.
155 citations
Authors
Showing all 7824 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul M. Thompson | 183 | 2271 | 146736 |
Alan D. Baddeley | 137 | 467 | 89497 |
Wolf Singer | 124 | 580 | 72591 |
John J. McGrath | 120 | 791 | 124804 |
Richard J. Simpson | 113 | 850 | 59378 |
David I. Perrett | 110 | 350 | 45878 |
Simon P. Driver | 109 | 455 | 46299 |
David J. Williams | 107 | 2060 | 62440 |
Linqing Wen | 107 | 412 | 70794 |
John A. Raven | 106 | 555 | 44382 |
David Coward | 103 | 400 | 67118 |
Stuart J. H. Biddle | 102 | 484 | 41251 |
Malcolm T. McCulloch | 100 | 371 | 36914 |
Andrew P. Dobson | 98 | 322 | 44211 |
Lister Staveley-Smith | 95 | 599 | 36924 |