Relevant bibliographies by topics / User tags

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'User tags'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "User tags"

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Wei, Jian Liang. "Finding Representative Tags for User Profile Construction." Advanced Materials Research 143-144 (October 2010): 399–403. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.399.

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Every resource in social tagging system have hundreds even thousands tags. To every certain resource, tags always have different popularity. The higher popularity a tag has, the more it suit for represent features of resource. This paper first find Top30 tags are popular tags, but the average tagging rate is quite low while approaching the 30th tag. Thus, six groups of resource that have vary saved times are taken for further analyzing. In all six groups, Top9 tags have high ATR, as well as ATR deviation, which mean these tags have obvious advantages while compare with others. Thus we take Top9 as representative tags. Finally, a user profile construction algorithm is given out based on representative tags.
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Rolla, Peter J. "User Tags versus Subject Headings." Library Resources & Technical Services 53, no. 3 (2009): 174–84. http://dx.doi.org/10.5860/lrts.53n3.174.

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Yoon, Kyunghye. "Syntagmatic semantic relations of user tags." Proceedings of the American Society for Information Science and Technology 47, no. 1 (2010): 1–2. http://dx.doi.org/10.1002/meet.14504701338.

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Kotevski, Aleksandar. "Suggesting additional resources based on user tags." HORIZONS.B 4 (December 15, 2017): 7–13. http://dx.doi.org/10.20544/horizons.b.04.1.17.p01.

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Gursoy, Ayse, Karen Wickett, and Melanie Feinberg. "Understanding tag functions in a moderated, user-generated metadata ecosystem." Journal of Documentation 74, no. 3 (2018): 490–508. http://dx.doi.org/10.1108/jd-09-2017-0134.

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Purpose The purpose of this paper is to investigate tag use in a metadata ecosystem that supports a fan work repository to identify functions of tags and explore the system as a co-constructed communicative context. Design/methodology/approach Using modified techniques from grounded theory (Charmaz, 2007), this paper integrates humanistic and social science methods to identify kinds of tag use in a rich setting. Findings Three primary roles of tags emerge out of detailed study of the metadata ecosystem: tags can identify elements in the fan work, tags can reflect on how those elements are used or adapted in the fan work, and finally, tags can express the fan author’s sense of her role in the discursive context of the fan work repository. Attending to each of the tag roles shifts focus away from just what tags say to include how they say it. Practical implications Instead of building metadata systems designed solely for retrieval or description, this research suggests that it may be fruitful to build systems that recognize various metadata functions and allow for expressivity. This research also suggests that attending to metadata previously considered unusable in systems may reflect the participants’ sense of the system and their role within it. Originality/value In addition to accommodating a wider range of tag functions, this research implies consideration of metadata ecosystems, where different kinds of tags do different things and work together to create a multifaceted artifact.
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Pyykkönen, Mikko, Jukka Riekki, Ismo Alakärppä, Ivan Sanchez, Marta Cortes, and Sonja Saukkonen. "Designing Tangible User Interfaces for NFC Phones." Advances in Human-Computer Interaction 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/575463.

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The increasing amount of NFC phones is attracting application developers to utilize NFC functionality. We can hence soon expect a large amount of mobile applications that users command by touching NFC tags in their environment with their NFC phones. The communication technology and the data formats have been standardized by the NFC Forum, but there are no conventions for advertising to the users NFC tags and the functionality touching the tags triggers. Only individual graphical symbols have been suggested when guidelines for advertising a rich variety of functionality are called for. In this paper, we identify the main challenges and present our proposal, a set of design guidelines based on more than twenty application prototypes we have built. We hope to initiate discussion and research resulting in uniform user interfaces for NFC-based services.
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Kim, Heung-Nam, Abdulmajeed Alkhaldi, Abdulmotaleb El Saddik, and Geun-Sik Jo. "Collaborative user modeling with user-generated tags for social recommender systems." Expert Systems with Applications 38, no. 7 (2011): 8488–96. http://dx.doi.org/10.1016/j.eswa.2011.01.048.

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Hunag, Jiajin, Xi Yuan, Ning Zhong, and Yiyu Yao. "Modeling Tag-Aware Recommendations Based on User Preferences." International Journal of Information Technology & Decision Making 14, no. 05 (2015): 947–70. http://dx.doi.org/10.1142/s0219622015500194.

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A recommender system aims at recommending items that users might be interested in. With an increasing popularity of social tagging systems, it becomes urgent to model recommendations on users, items, and tags in a unified way. In this paper, we propose a framework for studying recommender systems by modeling user preferences as a relation on (user, item, tag) triples. We discuss tag-aware recommender systems from two aspects. On the one hand, we compute associations between users and items related to tags by using an adaptive method and recommend tags to users or predict item properties for users. On the other hand, by taking the similarity-based recommendation as a case study, we discuss similarity measures from both qualitative and quantitative perspectives and k-nearest neighbors and reverse k-nearest neighbors for recommendations.
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Spinsante, Susanna, and Ennio Gambi. "NFC-Based User Interface for Smart Environments." Advances in Human-Computer Interaction 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/854671.

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The physical support of a home automation system, joined with a simplified user-system interaction modality, may allow people affected by motor impairments or limitations, such as elderly and disabled people, to live safely and comfortably at home, by improving their autonomy and facilitating the execution of daily life tasks. The proposed solution takes advantage of the Near Field Communications technology, which is simple and intuitive to use, to enable advanced user interaction. The user can perform normal daily activities, such as lifting a gate or closing a window, through a device enabled to read NFC tags containing the commands for the home automation system. A passive Smart Panel is implemented, composed of multiple Near Field Communications tags properly programmed, to enable the execution of both individual commands and so-calledscenarios. The work compares several versions of the proposed Smart Panel, differing for interrogation and composition of the single command, number of tags, and dynamic user interaction model, at a parity of the number of commands to issue. Main conclusions are drawn from the experimental results, about the effective adoption of Near Field Communications in smart assistive environments.
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He, Jun, Hongyan Liu, Yiqing Zheng, Shu Tang, Wei He, and Xiaoyong Du. "Bi-Labeled LDA: Inferring Interest Tags for Non-famous Users in Social Network." Data Science and Engineering 5, no. 1 (2019): 27–47. http://dx.doi.org/10.1007/s41019-019-00113-0.

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AbstractUser tags in social network are valuable information for many applications such as Web search, recommender systems and online advertising. Thus, extracting high quality tags to capture user interest has attracted many researchers’ study in recent years. Most previous studies inferred users’ interest based on text posted in social network. In some cases, ordinary users usually only publish a small number of text posts and text information is not related to their interest very much. Compared with famous user, it is more challenging to find non-famous (ordinary) user’s interest. In this paper, we propose a probabilistic topic model, Bi-Labeled LDA, to automatically find interest tags for non-famous users in social network such as Twitter. Instead of extracting tags from text posts, tags of non-famous users are inferred from interest topics of famous users. With the proposed model, the formulation of social relationship between non-famous users and famous user is simulated and interest tags of famous users are exploited to supervise the training of the model and to make use of latent relation among famous users. Furthermore, the influence of popularity of famous user and popular tags are considered, and tags of non-famous users are ranked based on random walk model. Experiments were conducted on Twitter real datasets. Comparison with state-of-the-art methods shows that our method is more superior in terms of both ranking and quality of the tagging results.
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Dissertations / Theses on the topic "User tags"

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Nagar, Swapnil. "A hybrid recommender: user profiling from tags/keywords and ratings." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/13757.

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Master of Science<br>Department of Computing and Information Sciences<br>Doina Caragea<br>Over the last decade, the Internet has become an involving medium and user-generated content is continuously growing. Recommender systems that exploit user feedback are widely used in e-commerce and quite necessary for business enhancement. To make use of such user feedback, we propose a new content/collaborative hybrid approach, which is built on top of the recently released hetrec2011-movielens-2k dataset and is an extension of a previously proposed approach, called Weighted Tag Recommender (WTR). The WTR approach makes use of tag information available in hetrec2011-movielens-2k, but it does not use explicit ratings. As opposed to WTR, our modified approach can make use of ratings to capture collaborative filtering and either user-tags, available in the hetrec2011-movielens-2k, or movie keywords retrieved from IMDB, to capture movie content information. We call the two versions of our approach Weighted Tag Rating Recommender (WTRR) and Weighted Keyword Rating Recommender (WKRR), respectively. Movie keywords (which are not user specific) allow us to use all ratings available in hetrec2011-movielens-2k, as WKKR associates the content information from movies with the users, based on their ratings. On the other hand, tags provide more specific information for a user, but limit the usage of the data to the user-movie pairs that have tags (significantly smaller number compared with all pairs that have ratings). Both our keyword and tag representations of users can help alleviate the noise and semantic ambiguity problems inherent in information contributed by users of social networks. Experiments using the WTRR approach on a subset of the dataset (which contains both ratings and tags) show that it slightly outperforms the WKRR approach. However, WKRR can be applied to the whole hetrec2011-movielens-2k dataset and results show that the information from keywords can help build a movie recommender system competitive with other neighborhood based approaches and even with more sophisticated state-of-the-art approaches.
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Darwish, Roba N. Darwish. "A Detailed Study of User Privacy Behavior in Social Media." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1510704797892479.

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Magableh, Murad. "A generic architecture for semantic enhanced tagging systems." Thesis, De Montfort University, 2011. http://hdl.handle.net/2086/5172.

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The Social Web, or Web 2.0, has recently gained popularity because of its low cost and ease of use. Social tagging sites (e.g. Flickr and YouTube) offer new principles for end-users to publish and classify their content (data). Tagging systems contain free-keywords (tags) generated by end-users to annotate and categorise data. Lack of semantics is the main drawback in social tagging due to the use of unstructured vocabulary. Therefore, tagging systems suffer from shortcomings such as low precision, lack of collocation, synonymy, multilinguality, and use of shorthands. Consequently, relevant contents are not visible, and thus not retrievable while searching in tag-based systems. On the other hand, the Semantic Web, so-called Web 3.0, provides a rich semantic infrastructure. Ontologies are the key enabling technology for the Semantic Web. Ontologies can be integrated with the Social Web to overcome the lack of semantics in tagging systems. In the work presented in this thesis, we build an architecture to address a number of tagging systems drawbacks. In particular, we make use of the controlled vocabularies presented by ontologies to improve the information retrieval in tag-based systems. Based on the tags provided by the end-users, we introduce the idea of adding “system tags” from semantic, as well as social, resources. The “system tags” are comprehensive and wide-ranging in comparison with the limited “user tags”. The system tags are used to fill the gap between the user tags and the search terms used for searching in the tag-based systems. We restricted the scope of our work to tackle the following tagging systems shortcomings: - The lack of semantic relations between user tags and search terms (e.g. synonymy, hypernymy), - The lack of translation mediums between user tags and search terms (multilinguality), - The lack of context to define the emergent shorthand writing user tags. To address the first shortcoming, we use the WordNet ontology as a semantic lingual resource from where system tags are extracted. For the second shortcoming, we use the MultiWordNet ontology to recognise the cross-languages linkages between different languages. Finally, to address the third shortcoming, we use tag clusters that are obtained from the Social Web to create a context for defining the meaning of shorthand writing tags. A prototype for our architecture was implemented. In the prototype system, we built our own database to host videos that we imported from real tag-based system (YouTube). The user tags associated with these videos were also imported and stored in the database. For each user tag, our algorithm adds a number of system tags that came from either semantic ontologies (WordNet or MultiWordNet), or from tag clusters that are imported from the Flickr website. Therefore, each system tag added to annotate the imported videos has a relationship with one of the user tags on that video. The relationship might be one of the following: synonymy, hypernymy, similar term, related term, translation, or clustering relation. To evaluate the suitability of our proposed system tags, we developed an online environment where participants submit search terms and retrieve two groups of videos to be evaluated. Each group is produced from one distinct type of tags; user tags or system tags. The videos in the two groups are produced from the same database and are evaluated by the same participants in order to have a consistent and reliable evaluation. Since the user tags are used nowadays for searching the real tag-based systems, we consider its efficiency as a criterion (reference) to which we compare the efficiency of the new system tags. In order to compare the relevancy between the search terms and each group of retrieved videos, we carried out a statistical approach. According to Wilcoxon Signed-Rank test, there was no significant difference between using either system tags or user tags. The findings revealed that the use of the system tags in the search is as efficient as the use of the user tags; both types of tags produce different results, but at the same level of relevance to the submitted search terms.
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Durieux, Valérie. "Le collaborative tagging appliqué à l'information médicale scientifique: étude des tags et de leur adoption par les médecins dans le cadre de leurs pratiques informationnelles." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209555.

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Suite à l’avènement du Web 2.0, le rôle de l’internaute s’est vu modifier, passant de consommateur passif à acteur à part entière. De nouvelles fonctionnalités ont vu le jour augmentant considérablement les possibilités d’interaction avec le système. Parmi celles-ci, le collaborative tagging permet à l’utilisateur de décrire l’information en ligne par l’attribution de mots-clés (ou tags), la particularité étant que ces tags ne sont pas uniquement accessibles aux tagueurs eux-mêmes mais à l’ensemble des internautes. L’octroi de tags à une ressource lui offre donc de multiples chemins d’accès exploitables par la communauté internet tout entière. Régulièrement comparé à l’indexation « professionnelle », le collaborative tagging soulève une question essentielle :cette nouvelle pratique contribue-t-elle favorablement à la description et, par extension, à la recherche d’informations sur internet ?<p>Tous les types d’informations ne pouvant être étudiés, la présente dissertation se focalise sur l’information médicale scientifique utilisée par les médecins dans le cadre de leur pratique professionnelle. Elle propose, dans un premier temps, de mesurer le potentiel des tags assignés dans deux systèmes de collaborative tagging (Delicious et CiteULike) à décrire l’information en les comparant à des descripteurs attribués par des professionnels de l’information pour un même échantillon de ressources. La comparaison a mis en lumière l’exploitabilité des tags en termes de dispositifs de recherche d’informations mais a néanmoins révélé des faiblesses indéniables par rapport à une indexation réalisée par des professionnels à l’aide d’un langage contrôlé.<p>Dans un second temps, la dissertation s’est intéressée aux utilisateurs finaux en quête d’informations, c’est-à-dire les médecins, afin de déterminer dans quelle mesure un système de collaborative tagging (CiteULike) peut assister ces derniers lors de leur recherche d’informations scientifiques. Pour ce faire, des entretiens individuels combinant interview semi-structurée et expérimentation ont été organisés avec une vingtaine de médecins. Ils ont fourni des indications riches et variées quant à leur adoption effective ou potentielle d’un système de collaborative tagging dans le cadre de leurs pratiques informationnelles courantes.<p>Enfin, cette dissertation se propose d’aller au-delà de l’étude des tags et du phénomène de collaborative tagging dans son ensemble. Elle s’intéresse également aux compétences informationnelles des médecins observés en vue d’alimenter la réflexion sur les formations qui leur sont dispensées tout au long de leurs études mais également durant leur parcours professionnel.<br>Doctorat en Information et communication<br>info:eu-repo/semantics/nonPublished
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Alkhaldi, Abdulmajeed. "A Recommender System using Tag-based Collaborative User Model." Thesis, University of Ottawa (Canada), 2011. http://hdl.handle.net/10393/28840.

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Internet users are overwhelmed by a huge media amount available online. Therefore there is a need of an automated way to make compelling recommendations to users according to their needs. There have been many research efforts to reduce that huge amount of content to what the user really needs or prefers. Recommender systems assisting users in easily finding the useful information, are a main research topic that serves this area. According to techniques recommender systems employ, they are mainly classified into three categories: a collaborative-based filtering, content-based filtering, and hybrid filtering. Collaborative filtering relies on the collaboration of users by capturing their judgments on items, and then recommends these items to users with similar taste. Content-based filtering takes advantage of content of a user's preferred items and recommends new items that have similar content. Hybrid filtering takes advantage of both collaborative and content- based filtering and might be in a different ways. No matter what the technique is used, recommender systems require an accurate user model that can reflect a user's characteristics, preferences, and topics of interest. In addition, the systems should take into account users who newly join the systems and thus has presented few opinions, commonly referred to as the cold start users problem. In our research, by leveraging user-generated tags, we propose the topic-driven enriched user model (EM), which is a new way of modeling a user's topics of interest in collaboration with other similar users, in order to improve the recommendation quality and alleviate the cold start user problem. We also present how the proposed model is applied to item recommendations by using locally weighted naive Bayes approach. For evaluating the performance of our model, we compare experimental results with a user model based on user-based collaborative filtering, a user model based on an item-based collaborative filtering, and a vector space model. The experimental results shows that EM outperforms the three algorithms in both recommendation quality and the cold start situation.
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Marriott, Andrew Lewis. "The use of biogeochemical tags to determine the origins and movement patterns of fishes." Thesis, Bangor University, 2013. https://research.bangor.ac.uk/portal/en/theses/the-use-of-biogeochemical-tags-to-determine-the-origins-and-movement-patterns-of-fishes(e0773eac-df55-4d27-a937-7dabb35080b9).html.

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The incorporation of both trace and minor-trace elements within the otolith aragonite matrix of hatchery reared sea bass Dicentrarchus labrax and the possible effects of post mortem handling, transportation and the period of time whole fish were stored frozen were examined. Fmihennore, the possible effects of temporal variability of the water chemistry within two nursery grounds and the effect on the elemental concentrations within otoliths were measured. Finally, the use of naturally occurring trace and minor-trace elements incorporated within the otolith structures of teleost fish and their use as natural biogeochemical tags to infer movement pattems over spatial scales were assessed. Statistically significant differences were observed in the concentrations of Mg and K measured in the otoliths of hatchery reared Dicentrarchus labrax when whole fish were stored frozen for a period of 6 months. Similarly, the elemental concentrations of Mn differed significantly between the storage periods of 1 day and 12 months. Three elements Na, Sr and Ba indicated no significant change in their elemental concentrations in response to the methods of dispatch, transportation protocol and freezer storage period. Based on the concentrations of Na, Sr and Ba, indications show these three elements are not subject to alteration when using the most commonly used methods of euthanasia / transportation and storage duration for D. labrax. Significant inter-annual and intra-annual differences were observed in the elemental concentrations of otoliths from juvenile Pleuronectes platessa sampled over a period of 7 years (2004-2010) from two nursery grounds Llanfairfechan and Llandonna in North Wales. Inter-annual (between years) variation at the site Llanfairfechan was observed for Mg in each of the 3 years 2007-2010, similarly between the 2 years 2009-2010 and the concentrations of Na. Differences were also observed in the concentrations of Sr and between each of the 5 years 2005-2010. Inter-annual variation was observed at the site Llanfairfechan for N a between each of the 3 years 2007-2010, between the 2 years 2007-2010 for K, and between the two years 2007-2009 and 2009-2010 for Sr and Ba respectively. Some degree of temporal stability could be observed for Na, Mg and Ba at Llanfairfechan and for Na, K, Sr and Ba within the site at Llandonna over short time scales (i.e. 2-3 year periods), increasing to 4 years (2004-2007) for Na and Ba at Llanfairfechan and K and Ba at Llanddona. There appeared to be some temporal stability on an inter-annual scale over a short term: i.e. 2-3 years, with some elements such as Ba being more stable for a period up to 4 years.
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Bates, R. M. "Aspects of the biology of Trypanorhynch tapeworms and investigations on their use as biological tags." Thesis, Open University, 1987. http://oro.open.ac.uk/56938/.

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Four hundred papers published in refereed papers during the years 1935-1985 were researched for information on the biology of trypanorhynchs, and a publishable host-parasite list was compiled for this period as a complement to the only previous monograph (published forty-five years ago) on all known members of the order Trypanorhyncha (Platyhelminthes: Cestoda). The theoretical information gained from this initial exercise was then used in carrying out original research on trypanorhynchs found in over 1,000 elasmobranch and teleost fish. This led to a choice of three research topics for more detailed investigations: (i) taxonomic studies on four little-known species and the application of this information to fisheries biology, (ii) life-cycle studies on Grillotia erinaceus (van Beneden, 1858) and (iii) the use of Grillotia smaris-gore (Wagener, 1854) Dollfus, 1946 as a biological tag for commercially important teleosts. A pre-requisite of this last problem was the need to review critically all information on the use of parasites as population indicators. Thus a further 100 papers published in primary journals were researched. The work concludes with a discussion of the above and also brief comments on the need for further research on tapeworms of the order Trypanorhyncha as an aid to our understanding of other basic contemporary problems in parasitology, relating to host-specificity, ecology and phylogeny.
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Douglas, Stephanie. "The development of molecular markers for use across all plant species using expressed sequence tags." FIU Digital Commons, 2006. http://digitalcommons.fiu.edu/etd/3234.

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There are over a half a million plant species on earth, and we use them in virtually every aspect of our lives. Little or no genomic information exists about the vast majority of these plants. This study investigated the use of Expressed Sequence Tags (ESTs) to locate highly conserved sequences from which to design a set of universal molecular markers for all plant species. Plant species for this study were chosen to representative of the plant kingdom. This was done by sampling several individuals of at least one species from all of the major terrestrial plant groups. Conserved sequences are generally found in a wide range of plants species and often in all plant species. A set of eight degenerate primers was designed specifically to detect Single Nucleotide Polymorphisms (SNPs) using capillary array electrophoresis-single stranded conformational polymorphism (CAE-SSCP). The results of this research confirmed that homologous regions of the genome could be used to design universal molecular markers for all plant species.
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Puccio, Derek. "DESIGN, ANALYSIS AND IMPLEMENTATION OF ORTHOGONAL FREQUENCY CODING IN SAW DEVICES USED FOR SPREAD SPECTRUM TAGS AND SENSORS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2836.

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SAW based sensors can offer wireless, passive operation in numerous environments and various device embodiments are employed for retrieval of the sensed data information. Single sensor systems can typically use a single carrier frequency and a simple device embodiment, since tagging is not required. In a multi-sensor environment, it is necessary to both identify the sensor and retrieve the sensed information. This dissertation presents the concept of orthogonal frequency coding (OFC) for applications to SAW sensor technology. OFC offers all advantages inherent to spread spectrum communications including enhanced processing gain and lower interrogation power spectral density (PSD). It is shown that the time ambiguity in the OFC compressed pulse is significantly reduced as compared with a single frequency tag having the same code length and additional coding can be added using a pseudo-noise (PN) sequence. The OFC approach is general and should be applicable to many differing SAW sensors for temperature, pressure, liquid, gases, etc. Device embodiments are shown and a potential transceiver is described. Measured device results are presented and compared with COM model predictions to demonstrate performance. Devices are then used in computer simulations of the proposed transceiver design and the results of an OFC sensor system are discussed.<br>Ph.D.<br>School of Electrical Engineering and Computer Science<br>Engineering and Computer Science<br>Electrical Engineering
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Hassinen, Cynthia. "Effects of fusion tags on protein partitioning In aqueous two-phase systems and use in primary protein recovery." Licentiate thesis, KTH, Biotechnology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1391.

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<p>The two techniques aqueoustwo-phase partitioning and expanded bed adsorption that bothare suitable for primary protein recovery were studied. Most ofthe work was focused on partition in aqueous two-phase systemsand in particular on the possibility to effect the partitionbehaviour by fusion of short peptide tags or protein domains tothe target protein.</p><p>The partitioning of fusionproteins between different variants of the domain tag Z and thenaturally occurring protein DNA Klenow polymerase were studiedin Breox/Reppal aqueous two-phase systems. Most studies wereperformed with cell homogenate. The Breox/Reppal system was infocus because if the fusion protein can be partitioned to theBreox-rich top phase the next step can be a thermoseparatingaqueous two-phase system. When the Breox phase is heated to50°C it switches from a one-phase system to a two-phasesystem resulting in an almost pure water rich top phase andhighly concentrated Breox-rich bottom phase. The Breox can thenbe reused and the protein recovered from the water phase. TheZ-domain was genetically modified in different ways to Z<sub>basic1</sub>, Z<sub>acid2</sub>and Z<sub>trp12</sub>and fused to the Klenow protein to try toenhance partitioning to the Breox-rich phase. From theexperiments it was not possible to observe any effects on thepartition behaviour irrespectively of tested properties of thedomain tag. Despite the absence of domain tag effects highK-values, i.e. partition to the Breox-rich top phase, wereobserved in the Breox/Reppal system. However, the proteinK-values seemed to be rather sensitive to the cell homogenateload and showed a tendency to decrease with increased cellhomogenate load. Also increased phosphate concentration reducedthe K-values. The partitioning of cell debris also seemed todependent on the cell homogenate load. At higher homogenateload (<=20g DW/L) clear Breox-rich top phases were observedwith the cell debris collected in Reppal-rich bottomphases.</p><p>Two different tetrapeptides,AlaTrpTrpPro and AlaIleIlePro were inserted near the C-terminusof the protein ZZT0. The Trp-rich peptide unit stronglyincreased both the partitioning of ZZT0 into the poly(ethyleneglycol) (PEG)-rich phase in a PEG/potassium phosphate aqueoustwo-phase system and its retention on PEG and propylhydrophobic interaction chromatographic columns with potassiumphosphate as eluent in isocratic systems. Both the partitioningand the retention increased with increasing number of Trp-richpeptide units inserted into ZZT0. Insertion of Ile-richtetrapeptide units affected the partitioning and retention to amuch lesser extent. Partition and modelling data also indicateda folding of inserted Trp and Ile tetrapeptide units, probablyto minimise their water contact. It was also investigated howto predict the partitioning of proteins in isoelectricPEG/phosphate aqueous two-phase systems.</p><p>The capture ofß-galactosidase from<i>E. coli</i>cell homogentate (50g DW/L) by metal chelatexpanded bed adsorption was studied. These experiments showedthat capture, with a certain degree of selectivity, andclarification of ß-galactosidase could be achieved from acell homogenate. However, a rather low recovery of about 35 %was obtained at a capacity of 0.25mg/mL of gel. Thus, severalparameters remain to be optimised like the load buffercomposition and the cell homogenate load.</p><p><b>Keywords:</b><i>E. coli</i>, aqueous two-phase systems, fusion proteins,hydrophobic interaction chromatography, expanded bedadsorption, ß-galactosidase, Klenow polymerase, Z-domain,peptide tags</p>
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Books on the topic "User tags"

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Norman, Park, ed. Human factors assessment of the Telidon Aviation Briefing System: TABS user survey. Human and Social Factors Office, 1986.

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Burnam, John C. Dog tags of courage: The turmoil of war and the rewards of companionship. Lost Coast Press, 2000.

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Kloek, Stephanie. The behavior and holding strength of darts used to attach pop-up satellite tags, through the use of pull out testing. University of New Hampshire, New Hampshire Sea Grant, 2006.

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Indians, alcohol, and the roads to Taos and Santa Fe. University Press of Kansas, 2013.

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United States. Bureau of Land Management. Taos Resource Area. Taos resource management plan: First yearly update--1989, 1990. US Dept. of the Interior, Bureau of Land Management, Albuquerque District, Taos Resource Area, 1990.

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United States. Bureau of Land Management. Taos Resource Area. Taos resource management plan: First yearly update--1989, 1990. US Dept. of the Interior, Bureau of Land Management, Albuquerque District, Taos Resource Area, 1990.

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Area, United States Bureau of Land Management Taos Resource. Taos resource management plan: First yearly update--1989, 1990. US Dept. of the Interior, Bureau of Land Management, Albuquerque District, Taos Resource Area, 1990.

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United States. Bureau of Land Management. Taos Field Office. The Rio Grande corridor final plan: Final Rio Grand corridor coordinated resource management plan and Taos resource management plan amendments. U.S Dept. of the Interior, Bureau of Land Management, 2000.

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Maryland. Task Force on Front Foot Assessment on Farmland. Report on front foot assessment on farmland. The Task Force, 1991.

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Prasad, Nanak. Indian music, scientific and practical: Its origin, history and divisions; writers of old and modern times; description and classification of ragas and ragnis, meanings & measures of tals and surs; forms and uses of musical instruments ... Sundeep Prakashan, 2003.

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Book chapters on the topic "User tags"

1

Fernández-Tobías, Ignacio, Iván Cantador, and Laura Plaza. "Modeling Emotions with Social Tags." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38844-6_30.

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Kaminskas, Marius, and Francesco Ricci. "Location-Adapted Music Recommendation Using Tags." In User Modeling, Adaption and Personalization. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22362-4_16.

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Kichou, Saida, Hakima Mellah, Youssef Amghar, and Fouad Dahak. "Tags Weighting Based on User Profile." In Active Media Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23620-4_24.

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Chandramouli, Krishna, Tomas Piatrik, and Ebroul Izquierdo. "Predicting User Tags Using Semantic Expansion." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28033-7_8.

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Shi, Yue, Martha Larson, and Alan Hanjalic. "Tags as Bridges between Domains: Improving Recommendation with Tag-Induced Cross-Domain Collaborative Filtering." In User Modeling, Adaption and Personalization. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22362-4_26.

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Ding, Ying, and Jing Jiang. "Extracting Interest Tags from Twitter User Biographies." In Information Retrieval Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12844-3_23.

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Murakami, Eiji, and Takao Terano. "Fairy Wing: Distributed Information Service with RFID Tags." In Multi-Agent for Mass User Support. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24666-4_11.

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Bellucci, Andrea, Giulio Jacucci, Veera Kotkavuori, Bariş Serim, Imtiaj Ahmed, and Salu Ylirisku. "Extreme Co-design: Prototyping with and by the User for Appropriation of Web-connected Tags." In End-User Development. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18425-8_8.

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Inversini, Alessandro, Davide Eynard, Elena Marchiori, and Leonardo Gentile. "Destinations Similarity Based on User Generated Pictures’ Tags." In Information and Communication Technologies in Tourism 2012. Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-7091-1142-0_42.

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Tu, Cunchao, Zhiyuan Liu, and Maosong Sun. "Inferring Correspondences from Multiple Sources for Microblog User Tags." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45558-6_1.

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Conference papers on the topic "User tags"

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Massimo, David, Mehdi Elahi, Mouzhi Ge, and Francesco Ricci. "Item Contents Good, User Tags Better." In UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization. ACM, 2017. http://dx.doi.org/10.1145/3079628.3079640.

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Garkavijs, Viktors. "Learning user's intent using user tags." In the sixth international workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2513204.2513215.

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Ludwig, Nadine, and Harald Sack. "Named Entity Recognition for User-Generated Tags." In 2011 22nd International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2011. http://dx.doi.org/10.1109/dexa.2011.56.

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Bao, Tengfei, Yong Ge, Enhong Chen, Hui Xiong, and Jilei Tian. "Collaborative filtering with user ratings and tags." In the 1st International Workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2346604.2346606.

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Bischoff, Kerstin, Claudiu S. Firan, and Raluca Paiu. "Deriving music theme annotations from user tags." In the 18th international conference. ACM Press, 2009. http://dx.doi.org/10.1145/1526709.1526924.

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Wang, Xiang, Yan Jia, Ruhua Chen, and Bin Zhou. "Ranking User Tags in Micro-Blogging Website." In 2015 2nd International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2015. http://dx.doi.org/10.1109/icisce.2015.94.

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Ravendran, Rajinesh, Ian MacColl, and Michael Docherty. "Mobile banking customization via user-defined tags." In the 23rd Australian Computer-Human Interaction Conference. ACM Press, 2011. http://dx.doi.org/10.1145/2071536.2071578.

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"User Interest Extraction based on Weighted Tags." In 2nd International Workshop on Web Intelligence. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004599300220031.

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Chi, Xuehua. "User Modeling on Social Networks--Using User Tags and Weibo Content for User Modeling." In 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/cmsa-18.2018.1.

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Lin, Yi-Ling, and Lora Aroyo. "Interactive curating of user tags for audiovisual archives." In the International Working Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2254556.2254685.

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Reports on the topic "User tags"

1

Cai, Y., E. R. Koehl, R. D. Carlson, and A. C. Raptis. User Interface Program for secure electronic tags. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/97021.

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Salguero, D. E. Trajectory analysis and optimization system (TAOS) user`s manual. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/162896.

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Baird, Robin W. Movements and Habitat use of Dwarf and Pygmy Sperm Whales using Remotely-Deployed LIMPET Satellite Tags. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada597799.

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Baird, Robin W. Movements and Habitat Use of Dwarf and Pygmy Sperm Whales using Remotely-Deployed LIMPET Satellite Tags. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617026.

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41960.

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Abstract:
The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text in the digitally available USDA soil taxonomy documentation and the Soil Survey Geographic database. Previous research has shown that latent information structure can be extracted from scientific literature using Natural Language Processing techniques, and we show that this latent information can be used to expedite query performance by using syntactic elements and part-of-speech tags as indices. Technical vocabulary often poses a text mining challenge due to the rarity of its diction in the broader context. We introduce an extension to the common English vocabulary that allows for nearly-complete indexing of USDA Soil Series Descriptions.
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Corujo, German, and Leo L. Timms. Uses of an Ear Tag Based Behavioral and Temperature Monitoring System (Cow ManagerR) at the ISU Dairy. Iowa State University, 2017. http://dx.doi.org/10.31274/ans_air-180814-391.

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Hodson, Madison, and Leo L. Timms. Use of an Ear Tag Based Behavioral and Temperature Monitor (Cow ManagerR) on Dairy Calves (Preliminary Report). Iowa State University, 2017. http://dx.doi.org/10.31274/ans_air-180814-384.

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Costa, Daniel P., and Barbara Block. Use of Electronic Tag Data and Associated Analytical Tools to Identify and Predict Habitat Utilization of Marine Predators. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada605194.

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Costa, Daniel P., and Barbara A. Block. Use of Electronic Tag Data and Associated Analytical Tools to Identify and Predict Habitat Utilization of Marine Predators. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531244.

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Costa, Daniel P., and Barbara Block. Use of Electronic Tag Data and Associated Analytical Tools to Identify and Predict Habitat Utilization of Marine Predators. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada571120.

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