Teses / dissertações sobre o tema "Articles de foi"

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1

Hu, Xuan. "Les voies du salut : prédication et défense de la foi catholique au premier XVIe siècle". Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUL022.

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Cette thèse se fonde sur une relecture des sermons de François Le Picart, qui fut le grand prédicateur du Paris du premier XVIe siècle, et qui a laissé, grâce à des impressions savantes, un corpus riche de ses prises de parole, permettant d'examiner la genèse de l’imaginaire d’une violence ainsi véhiculée et promue oralement. Le Picart est en effet au cœur de l’histoire de la prédication combattante qui se met en place dès les années 1520-1550 avant d’envahir la sphère publique à partir de 1560. Il est un précurseur qui donne les codes autorisant la progressive maturation d’une tension de violence théophanique dont les hommes devaient être les outils. Par son truchement ; le lecteur peut saisir la puissance des mots qui émanait de la prédication, une autre éloquence de la Renaissance qui visait à mettre en fonctionnement une stratégie d’endoctrinement du peuple catholique à partir du principe d’une mise en défense panique des consciences opérant sur les bases d’une actualisation de la doctrine de l’Église. Dans cette optique, Le Picart accorda une place déterminante à une technique de mise en scène de l’imaginaire de la violence qui reposait sur le recours à des peintures mentales qu’il cherchait à projeter dans la psyché de ses auditeurs. Cette stratégie était un dispositif rhétorique susceptible de susciter, par effet de pathos, une angoisse qui était eschatologique dans la tension inhérente aux sermons opposant dramatiquement l’amour zélé pour Dieu au péché toujours plus croissant de l’homme. Le Picart fut un prophète, qui non seulement parlait pour Dieu et par Dieu mais aussi travaillait l’imaginaire des fidèles en infusant en eux un « parler Dieu », les mettant en condition, après 1560, de devenir des guerriers de Dieu. L’enfer qu’il décrivait comme attendant les hérétiques dans le temps de leur mort allait alors venir sur terre
This thesis is based on a rereading of the sermons of François Le Picart, who was the great preacher of Paris in the first sixteenth century, and who left, thanks to learned impressions, a rich body of his speeches, allowing to examine the genesis of the imagination of a violence conveyed and promoted orally. Le Picart is in fact at the heart of the history of preaching combat from the years 1520-1550 before its invading to the public sphere from 1560. He was a precursor who gave the codes which would authorize in the next years the gradual maturation of a tension of theophanic violence of which men were to be the tools. Through it, the reader can grasp the power of the words which emanated from the preaching, another eloquence of the Renaissance which aimed to put into operation a strategy of indoctrination of the Catholic people, based on the principle of a panic defense of the consciences operating on the bases of updating the doctrine of the Church. From this perspective, Le Picart gave a decisive place to a technique of staging the imaginary of violence that relied on the use of mental paintings that he sought to project into the psyche of his listeners. This strategy was a rhetorical device capable of arousing, through pathos, an anguish that was eschatological in the tension inherent in sermons dramatically pitting zealous love for God against the ever-increasing sin of man. Picart was a prophet, who not only spoke for God and through God but also worked the imagination of the faithful by infusing in them a "speaking of God", putting them in a condition, after 1560, to become warriors of God. The hell that he described which awaiting heretics at the time of their death would then come to earth
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2

Lin, Sheng-Ting. "Latent semantic analysis for retrieving related biomedical articles". Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/61273.

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Retrieving relevant scientific papers in a scalable way is increasingly important, as more and more studies are published. PubMed’s relevant article recommendation is based on MeSH assignments by indexers, which requires significant human resources and can become a limitation in making papers searchable. Many recommendation systems use singular value decomposition (SVD) to pre-compute related products. In this study, we look at using latent semantic analysis (LSA), an application of SVD to determine relationships in a set of documents and terms, to find related biomedical papers. We focused on determining the best parameters for SVD in retrieving relevant biomedical articles given a paper of interest. Using PubMed's recommendations as guidance, we found that using cosine distance to measure document similarity leads to better results than using Euclidean distance. We re-evaluated other parameters, including the weighting scheme and the number of singular values and using a larger abstract corpus. Finally, we asked people to compare the relevant abstract retrieved with our method against those retrieved by PubMed. Our method retrieved sensible articles that were chosen over PubMed's relevant papers one-third of the time. We looked into the abstracts retrieved by either method and discuss possible areas for experimentation and improvement.
Science, Faculty of
Graduate
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3

Hedman, Filip. "Machine Learning For Automated Categorization of Product Articles". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-347393.

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As companies gather more data every day, the possibility to extractinformation to make smarter business decisions increases. Machine learning and data mining has been instrumental in this trend: partlybecause of the increasing availability of powerful hardware, and partly because of wider availability of software tools as well as relevant data sources. This thesis uses methods of machine learning and pattern recognition to address a specific case study in the consumer business. Specifically, together with the company CASPECO weaim to find unique items in unprecise textual representations of those. A solution based on clustering is designed and evaluated. The core is to work with an appropriate distance metric between different representations. For this, two metrics are assessed: the Levenshtein and NYSIIS distance metric. The classical K-means clustering algorithmis contrasted to an adaptive clustering method, with the latter presenting a clear advantage in the given setting.
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4

Bachir, Imad A. M. "Title-derivative printed indexes for Arabic periodical articles". Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281761.

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5

Chen, Kuei Min. "The effects of Tai Chi on the well being of community dwelling elders in Taiwan /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2000. http://www.lib.umn.edu/articles/proquest.phtml.

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6

Aase, Kim-Georg. "Text Mining of News Articles for Stock Price Predictions". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13573.

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This thesis investigates the prediction of possible stock price changes immediately after news article publications, by automatic analysis of these news articles. Some background information about financial trading theory and text mining is given in addition to an overview of earlier related research in the field of automatic analyzes of news articles for predicting future stock prices. In this thesis a system is designed and implemented to predict stock price trends for the time immediately after the publication of news articles. This system consists mainly of four components. The first component gathers news articles and stock prices automatically from internet. The second component prepares the news articles by sending them to some document preprocessing steps and finding relevant features before they are sent to a document representation process. The third component categorizes the news articles into predefined categories, and finally the fourth component applies appropriate trading strategies depending on the category of the news article. This system requires a labeled data set to train the categorization component. This data set is labeled automatically on the basis of the price trends directly after the news article publication. An additional label refining step using clustering is added in an attempt to improve the labels given by the basic method of labeling by price trends.The findings indicate that a categorization of news articles provides additional information that can be used to forecast stock price trends. Experiments showed that the label refining method greatly improves the performance of the system. It was also shown that the timing of when to start the price trends used to label the data sets had a significant impact on the results. Trading simulations performed with the systems managed to gain positive returns (profits) on most of its trades. Some of the methods also managed to give better results than what trades performed with the manually labeled data set did.
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7

Ullah, Noor. "ANFIS BASED MODELS FOR ACCESSING QUALITY OF WIKIPEDIA ARTICLES". Thesis, Högskolan Dalarna, Datateknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4909.

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Wikipedia is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Due to the free nature of Wikipedia and allowing open access to everyone to edit articles the quality of articles may be affected. As all people don’t have equal level of knowledge and also different people have different opinions about a topic so there may be difference between the contributions made by different authors. To overcome this situation it is very important to classify the articles so that the articles of good quality can be separated from the poor quality articles and should be removed from the database. The aim of this study is to classify the articles of Wikipedia into two classes class 0 (poor quality) and class 1(good quality) using the Adaptive Neuro Fuzzy Inference System (ANFIS) and data mining techniques. Two ANFIS are built using the Fuzzy Logic Toolbox [1] available in Matlab. The first ANFIS is based on the rules obtained from J48 classifier in WEKA while the other one was built by using the expert’s knowledge. The data used for this research work contains 226 article’s records taken from the German version of Wikipedia. The dataset consists of 19 inputs and one output. The data was preprocessed to remove any similar attributes. The input variables are related to the editors, contributors, length of articles and the lifecycle of articles. In the end analysis of different methods implemented in this research is made to analyze the performance of each classification method used.
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8

Esparza, Matthew W. "Techniques for automatically generating biographical summaries from news articles". Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Sep%5FEsparza.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2007.
Thesis Advisor(s): Martell, Craig. "September 2007." Description based on title screen as viewed on October 22, 2007. Includes bibliographical references (p. 49-51). Also available in print.
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9

Butterfield, Joseph. "The development of design procedures for rotomoulded plastic articles". Thesis, Queen's University Belfast, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394461.

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10

Dean, Andrew. "'Intelligent' strips for tagging articles including their dispensing methods". Thesis, University of Warwick, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340474.

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11

Bauer, Sandro Mario. "Content selection for timeline generation from single history articles". Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/268226.

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This thesis investigates the problem of content selection for timeline generation from single history articles. While the task of timeline generation has been addressed before, most previous approaches assume the existence of a large corpus of history articles from the same era. They exploit the fact that salient information is likely to be mentioned multiple times in such corpora. However, large resources of this kind are only available for historical events that happened in the most recent decades. In this thesis, I present approaches which can be used to create history timelines for any historical period, even for eras such as the Middle Ages, for which no large corpora of supplementary text exist. The thesis first presents a system that selects relevant historical figures in a given article, a task which is substantially easier than full timeline generation. I show that a supervised approach which uses linguistic, structural and semantic features outperforms a competitive baseline on this task. Based on the observations made in this initial study, I then develop approaches for timeline generation. I find that an unsupervised approach that takes into account the article's subject area outperforms several supervised and unsupervised baselines. A main focus of this thesis is the development of evaluation methodologies and resources, as no suitable corpora existed when work began. For the initial experiment on important historical figures, I construct a corpus of existing timelines and textual articles, and devise a method for evaluating algorithms based on this resource. For timeline generation, I present a comprehensive evaluation methodology which is based on the interpretation of the task as a special form of single-document summarisation. This methodology scores algorithms based on meaning units rather than surface similarity. Unlike previous semantic-units-based evaluation methods for summarisation, my evaluation method does not require any manual annotation of system timelines. Once an evaluation resource has been created, which involves only annotation of the input texts, new timeline generation algorithms can be tested at no cost. This crucial advantage should make my new evaluation methodology attractive for the evaluation of general single-document summaries beyond timelines. I also present an evaluation resource which is based on this methodology. It was constructed using gold-standard timelines elicited from 30 human timeline writers, and has been made publicly available. This thesis concentrates on the content selection stage of timeline generation, and leaves the surface realisation step for future work. However, my evaluation methodology is designed in such a way that it can in principle also quantify the degree to which surface realisation is successful.
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12

Maswana, Sayako. "A Cross-Disciplinary Genre Analysis of Research Articles: A Focus on Rhetorical Structures". Kyoto University, 2015. http://hdl.handle.net/2433/199406.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(人間・環境学)
甲第19082号
人博第735号
新制||人||176(附属図書館)
26||人博||735(吉田南総合図書館)
32033
京都大学大学院人間・環境学研究科共生人間学専攻
(主査)教授 田地野 彰, 教授 西山 教行, 准教授 中森 誉之
学位規則第4条第1項該当
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13

Bråvander, Per, e Maria Månthén. "Analysis and optimization of IKEA’s test methods for kitchen articles". Thesis, KTH, Maskinkonstruktion (Inst.), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-141164.

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IKEA offer a 25 year warranty with most of their kitchen articles, which has led to more extensive testing conducted according to current European and international standards. An assembled kitchen unit is used in all the tests but a translation into the effect on the individual parts of the unit is needed. The aim of this thesis is to analyze the test methods, to prioritize which kitchen units to test and to find a test closer to the manufacturing process of particle boards for the over-opening test of pivoting doors. A way to prioritize in the range was made possible by creating risk factors based on usage frequency in combination with mechanical calculations on load cases of doors and drawers. User behavior in the kitchen was studied in contextual interviews and these showed that most behavior is tested by IKEA with the most important exception of forces applied to knobs and handles. An analysis of usage frequency and test methods showed that the amount of cycles in the durability tests of doors and drawers could be revised. The technical properties of particle boards were compared to test results from over-opening tests, without finding any correlations. This lead to experiments on the break-off scenario of hinges with the result that a correlation was found between the deformation of the holes used for attaching the hinges and the over opening break-off load. Since the experiments were made on a small scale it is recommended that the correlation is investigated on a larger scale. Optimally a correlation could be found between hole deformation and a technical property of the particle board. the consequence would be that the over-opening test could be replaced or supported by a demand on the technical property of the particle board.
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14

Waldron, Robert T. "Determining the criteria for selecting articles for a reader on urban evangelism". Theological Research Exchange Network (TREN), 1998. http://www.tren.com.

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15

Rudolph, Thomas James. "Institutional responsibility for economic conditions /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2001. http://www.lib.umn.edu/articles/proquest.phtml.

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16

Arnesson, Sebastian, e Emil Bergqvist. "Article placement for an efficient order picking". Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150150.

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Lager har en betydelsefull roll i många försörjningskedjor. Att driva ett lager medför stora kostnader och företag strävar därför efter att ha en så effektiv lagerhållning som möjligt. Ett sätt att förbättra sin lagerhållning är att klassificera sina artiklar och placera dem utefter denna klassificering. Effekter företag kan få ut av en fördelaktig artikelplacering är, exempelvis reducering av orderplockningens tid vilket leder till ett effektivare orderplockning. Orderplockning är en av de viktigaste aktiviteterna i ett lager, eftersom den kräver mycket resurser i form av personal och tid. Syftet med studien är att genom artikelklassificeringar föreslå en artikelplacering och strukturera Autoexpertens lager med avsikt att effektivisera orderplockning. För att beskriva den nuvarande artikelplaceringen har en litteraturstudie genomförts och kompletterats med observationer samt intervjuer. Författarna har samlat in historisk data som i sin tur legat till grund för ABC-analyserna. Artikelgruppernas uttagsfrekvens samt vikt valdes som kriterier vid genomförandet av ABC-analysen, då dessa ansågs ha störst påverkan på orderplockningen. Utförandet av den dubbla ABC-analysen, med uttagseffektens %26 vikt som kriterier, blev sedan den ABC-analys som låg till grund för den föreslagna artikelplaceringen. Att uttagsfrekvens och vikt valdes som kriterier för ABC-analysen korrelerar med att dessa två kriterier har en stor påverkan på orderplockningen. Artikelgrupperna har med hänsyn till denna ABC-analys placerats efter uttagsfrekvens %26 vikt i fallande ordning i närhet till upplagsplatsen för att möjliggöra en högre plockeffektivitet. Vid upplagsplatsen påbörjas och avslutas plockprocesserna hos Autoexperten och utgör anledningen till att artiklar placerats i fallande ordning i närhet till den. Utöver utförandet av den dubbla ABC-analysen har två artikelplaceringar utförts på artikelnivå. Från dessa artikelplaceringar har kvantitativa mått på lagerpersonalens förflyttningar tagits fram och presenterats.
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17

Fournier, Susan Marie. "Social expectations for sexuality among the elderly /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2000. http://www.lib.umn.edu/articles/proquest.phtml.

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18

Frew, Dorothy Jean. "An Improved English Article System for Japanese Speakers". PDXScholar, 1994. https://pdxscholar.library.pdx.edu/open_access_etds/5020.

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One aspect of the English language which has been overlooked by English-as-a-Second-Language educators is the article system, a, the, and 0. For students from articleless first languages such as Japanese, learning this complex system is a formidable challenge. Performance studies show an error rate among advanced Japanese students of approximately thirty percent. There may be several reasons for this high rate: 1) the differences between Japanese and English, 2) the unusually high degree of complexity/difficulty of the article system itself compared to other English morpheme systems and 3) inadequate treatments of the subject as revealed in this thesis' survey of forty ESL textbooks. Recent pragmatic discoveries about article function reveal subtle, contextual influences which have not been well integrated into traditional treatments. Definiteness may be dependent on sentential, discourse, and situational contexts, on whether referents are unique and manifest to the hearer, and on the nature of certain implicatures induced by the articles. Computerized, interactive tutorials are the best way to capture how these variables interact to constrain article choice. A prototype for a tutorial is submitted with this thesis. In addition to exhaustive explanations of contexts and implicatures in the form of actor's "asides," it features Japanese translations throughout, and, to show how uniqueness may be culture bound, utterances that take place within Japanese culture. Although the tutorial presented here needs enlargement, it is believed that an animated, computerized tutorial emphasizing subtle pragmatic features is more illustrative of actual article usage than have been traditional hard copy explanations.
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19

Eriksson, Adam. "Evaluation Of Methods For AutomaticallyDeciding Article Type For Newspapers". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177788.

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20

Bell, Sue Ellen. "Ethical issues for nurses in performance of utilization review /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 1998. http://www.lib.umn.edu/articles/proquest.phtml.

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21

Koenes, Jeanne. "After the injury : what is it like for injured nurses /". ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2001. http://www.lib.umn.edu/articles/proquest.phtml.

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22

Seiden, Katherine. "Development and validation of the "organizational readiness for evaluation" survey instrument /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2000. http://www.lib.umn.edu/articles/proquest.phtml.

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23

Lindgren, Jennifer. "Evaluating Hierarchical LDA Topic Models for Article Categorization". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167080.

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With the vast amount of information available on the Internet today, helping users find relevant content has become a prioritized task in many software products that recommend news articles. One such product is Opera for Android, which has a news feed containing articles the user may be interested in. In order to easily determine what articles to recommend, they can be categorized by the topics they contain. One approach of categorizing articles is using Machine Learning and Natural Language Processing (NLP). A commonly used model is Latent Dirichlet Allocation (LDA), which finds latent topics within large datasets of for example text articles. An extension of LDA is hierarchical Latent Dirichlet Allocation (hLDA) which is an hierarchical variant of LDA. In hLDA, the latent topics found among a set of articles are structured hierarchically in a tree. Each node represents a topic, and the levels represent different levels of abstraction in the topics. A further extension of hLDA is constrained hLDA, where a set of predefined, constrained topics are added to the tree. The constrained topics are extracted from the dataset by grouping highly correlated words. The idea of constrained hLDA is to improve the topic structure derived by a hLDA model by making the process semi-supervised. The aim of this thesis is to create a hLDA and a constrained hLDA model from a dataset of articles provided by Opera. The models should then be evaluated using the novel metric word frequency similarity, which is a measure of the similarity between the words representing the parent and child topics in a hierarchical topic model. The results show that word frequency similarity can be used to evaluate whether the topics in a parent-child topic pair are too similar, so that the child does not specify a subtopic of the parent. It can also be used to evaluate if the topics are too dissimilar, so that the topics seem unrelated and perhaps should not be connected in the hierarchy. The results also show that the two topic models created had comparable word frequency similarity scores. None of the models seemed to significantly outperform the other with regard to the metric.
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24

Sinha, Krishnendu. "Analysis of the k-epsilon turbulence models for simulation of compressible flows /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2001. http://www.lib.umn.edu/articles/proquest.phtml.

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Rizq, Raed Nicholas. "The design and analysis of a micromachined pyroelectric detector for infrared radiation /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 1997. http://www.lib.umn.edu/articles/proquest.phtml.

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Gabrys, Ann M. "Interface state characterization techniques for MOS capacitors incorporating ultra-thin dielectric films /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2001. http://www.lib.umn.edu/articles/proquest.phtml.

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Thesis (M.S.)--University of Minnesota, 2001.
"Accompanying CD-ROM contains Excel spreadsheets and Mathematica notebooks that contain data and templates" for further investigation.--P. 68. Includes bibliographical references (leaves 70-71). Also available on the World Wide Web as a PDF file.
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27

Astrakos, Alexander, e Robin Kadergran. "Articles from Google rarely contains high qualityinformation about rapid weight loss for martial artsperformers : Critical review of articles on rapid weight-loss in martial artsperformers". Thesis, Högskolan Dalarna, Idrotts- och hälsovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28154.

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Syfte Syftet med studien är att undersöka kvalitén och trovärdigheten i de insamlade artiklarna som har hämtats med Google - som beskriver snabba viktminskningsmetoder samt dito dieter för kampsportare. Metod Metoden utgick från fem sökfraser som är relaterade till viktminskning för kampsportare inför tävling. Dessa fem fraser användes i Googles sökmotor och för varje fras valdes de fem första sökresultaten. Sökresultaten analyserades sedan med innehållsanalyskriterier som analyserar trovärdighet, noggrannhet, rimlighet och stöd. En mer detaljerad beskrivning finns nedan i text. Resultat Resultaten från studien visade att artiklarna som analyserades i denna studie med innehållsanalyskriterier inte når upp till den önskvärda trovärdigheten och att enbart 12 % av artiklarna baserades på fakta. Resultaten visade även att 35 % av artikelförfattarna titulerade sig som expert och att 41 % av artiklarna återfanns på en websida med en ansvarig utgivare. Dessutom visade studien att artiklarna har låg noggrannhet, ingen artikel är förhandsgranskad och bara 6 % utav författarna använder sig av en vetenskaplig struktur i sina artiklar. Även motsägelser fanns i artiklarna. Studien visade även att websidorna hade en låg rimlighet då 53% av artiklarna och websidorna var tydligt partiska för att marknadsföra sina egna produkter och utbildningar. Studien visade avslutningsvis att websidorna som tillhör artiklarna hade 76 % stöd. Slutsatser Kampsportare bör ha i åtanke att information om snabb viktminskning som träffas med Googles sökmotor sällan är baserad på vare sig vetenskap eller fakta, utan oftast är egna åsikter som saknar referenser. Ingen av studiens artiklar var förhandsgranskade och bara ett fåtal av artiklarna var författade av skribenter som titulerade sig som experter, vilket innebär att noggrannheten och trovärdigheten är låg enligt studiens kriterier. Dessutom försöker många författare sälja antingen sina produkter eller utbildningar via sina artiklar, men detta är inte standardindikator som gör att kvaliteten bli låg.
Purpose The purpose of the study is to investigate the quality and credibility of the articles collected from Google - describing fast weight loss methods as well as diets for martial arts. Method The method started with five search phrases related to weight loss pre-competition at martial arts. The five phrases where applied to the Google search engine and for each phrase the first five search results were selected. Search results were analysed with content analysis criteria analysing Credibility, Accuracy, Reasonability and Support. Detailed descriptions of how these quality parameters were assessed can be found below in text Result The results from the study showed that the articles analysed in this study with content analysis criteria do not have the desired credibility because only 12 % of the articles are based on facts. The results also showed that 35 % of the authors claimed to be experts and 41 % of the websites associated with the articles have a responsible publisher. Furthermore the study showed that the articles have low accuracy because no article is peer reviewed and only 6 % of the authors use scientific structure in their articles. Some of the articles even included contradictions. The study showed that the web pages have a low reasonableness because 53 % of the articles and web pages have a partial message to promote their products and education. The study shows that web sites associated with the articles has more than 76 % support. Conclusion Martial art athletes should understand that not all of the rapid weight loss information that appears in Google search results is based on science or facts, most of the information is no more than opinions that lack reference. None of the articles in the study were previewed by peers and few articles were written by experts. This means that accuracy and credibility are low according to the study's criteria. In addition, many authors try to sell either their products or training through their articles, but this is not a standard indicator that makes the quality low.
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Orzoff, Jordan Howard. "The effects of stereotype bias by trainees on instructional outcomes : implications for training /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2000. http://www.lib.umn.edu/articles/proquest.phtml.

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Crane, Eric Charles. "What is it like for Moroccans to learn how to use information technology? /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2001. http://www.lib.umn.edu/articles/proquest.phtml.

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Rai, Neeraj. "Monte Carlo studies for the thermophysical properties and phase equilibria of organic systems". Diss., Click on "Connect to Digital Dissertations", 2009. http://www.lib.umn.edu/articles/proquest.phtml.

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Zhang, Lei. "A study of functional units for information use of scholarly journal articles". Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/34015.

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This research aims to enhance reading effectiveness and efficiency by presenting the readers with the text in the article that is most relevant to a particular information task, rather than presenting the article in its entirety. It applies the idea of the functional unit, the smallest information unit with a distinct function within four major components of scholarly journal articles — Introduction, Methods, Results and Discussion. First, through a review and analysis of the literature and validation through user surveys, 41 functional units within the four components were identified. Also identified were the relationships between the individual functional units and five information use tasks, and furthermore the relationships among a set of functional units for a particular task. The functional units were classified into three categories (primary, related, additional related) according to how useful they were for each task. Based on this taxonomy, a prototype journal reading system was designed and implemented. Thirty 3rd and 4th year psychology students participated in an experimental study using the prototype system. Content analysis was used to analyze qualitative data collected from retrospective interviews, questionnaire open-ended questions, and screen recordings. A statistical analysis of quantitative data collected via rating scales, logging of time and highlights was also carried out. The answers to comprehension questions were assessed first by content analysis and then by statistical analysis. Participants using the prototype system were significantly more satisfied with the information obtained, highlighted more relevant text, and answered more fully the comprehension questions. The use of functional units was effective in enabling people to focus on specific information and use pieces of relevant information across the article, but not necessarily to move from more relevant to less relevant information. Participants using the prototype system also felt significantly more efficient in obtaining the information. The use of functional units was efficient in enabling people to read less or read selectively. The signaling of functional units seemed to be more effective and efficient for the tasks requiring use of information scattered across articles. This research suggests that information within an article can be organized and presented to benefit readers’ information use.
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Cenite, Mark Alan. "Extending sexual content regulation to cyberspace and potential impact for the gay and lesbian community /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2001. http://www.lib.umn.edu/articles/proquest.phtml.

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McGuire, Kathryn Anne. "The utility of spontaneous electroencephalography in research on alcohol dependence and risk for alcohol dependence /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2000. http://www.lib.umn.edu/articles/proquest.phtml.

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Tjornehoj, Kristin Ann Skoglund. "An investigation into the use and effectiveness of video modeling of conducting for pre-service music educators /". ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2001. http://www.lib.umn.edu/articles/proquest.phtml.

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Chlan, Linda Lee. "The relationship of absorption to the effects of music therapy on anxiety and relaxation for mechanically ventilated patients /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 1997. http://www.lib.umn.edu/articles/proquest.phtml.

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Nilsson, Marcus, e Alexander Westring. "A decision support system for an improved article placement". Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141688.

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Warehouse storage is an important part of a business’ supply chain. This is where articles temporary are stored before they either are carried on to the next step of the production or to be delivered to the customers of the company. The largest part of the stock keeping often devoted to the order picking. Order picking includes the activities that are occurring when an article is being picked from its stored position and is being transported to the next step of the flow of the materials. The most time- consuming part of the order picking process are often the time to pinpoint and to get the hold of an article. This implies quite likely that an enhancement of the productivity could be realized, inter alia, through cut the transport distances. SKF Mekan AB is an industrial corporation whose primary occupation is to manufacture bearing housings. Currently, the business has a flawed inventory for stock keeping. A great many of the articles stored in the inventory, entitled 104C, are placed in regard to their measures, without any thought in regard of how frequently the articles are picked. In addition, the article placement that is used today is outdated, which has resulted in that a lot of articles are lacking a specific placement in the inventory. The purpose of storing articles in the inventory 104C is to cope with fluctuations in the next step of the manufacturing, which is the processing factory. The aim of the study is to find out how the article placement looks in the current situation and how decisions concerning article placement are determined and what issues occurs due to this. A decision support system has been developed which purpose is to give SKF Mekan AB decision basis regarding where the different kinds of articles should be placed to attain an increased efficiency in business’ stock keeping. The decision support system is adaptable to the extent that the user can adjust the parameters that are determining the article placement. The study has been accomplished by means of observations and interviews. With the help of the observations, the layout of the warehouse and the article placement has been mapped out and with the help of the interviews; the results concerning work models and decision-making of article placement has been answered. Through the observations and the interviews appeared that 42.5 % of the stocked pallets were misplaced and that 15.6 % of the stocked pallets lacked a specific placement in the warehouse. This results in that the truck operators has a hard time localizing the pallets, which leads to inefficient labouring. This causes delays in the next step of the supply chain; i. e. the processing factory, meaning the personnel has to wait for the articles to be delivered. With the articles picking frequency and the principle of family grouping as point of reference for the article placement SKF Mekan AB should be able to eliminate non-value adding activities in the supply chain, which should lead to an increased potential of profitability.
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Gao, Yang. "Article identification for inventory list in a warehouse environment". Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27132.

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In this paper, an object recognition system has been developed that uses local image features. In the system, multiple classes of objects can be recognized in an image. This system is basically divided into two parts: object detection and object identification. Object detection is based on SIFT features, which are invariant to image illumination, scaling and rotation. SIFT features extracted from a test image are used to perform a reliable matching between a database of SIFT features from known object images. Method of DBSCAN clustering is used for multiple object detection. RANSAC method is used for decreasing the amount of false detection. Object identification is based on 'Bag-of-Words' model. The 'BoW' model is a method based on vector quantization of SIFT descriptors of image patches. In this model, K-means clustering and Support Vector Machine (SVM) classification method are applied.
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Arevian, Garen Zohrab. "Recurrent neural networks for text classification of news articles from the Reuters Corpus". Thesis, University of Sunderland, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439972.

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Cassidy, Paul Edward. "The use of digital video pitch simulators for training expert baseball batters to improve their abilities to detect optical anticipatory pitch information /". Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 2000. http://www.lib.umn.edu/articles/proquest.phtml.

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Persson, Pontus. "Rewriting for the masses : An analysis on the articles in Nyheter24 during two weeks". Thesis, Linnéuniversitetet, Institutionen för medier och journalistik (MJ), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-48292.

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The object of this study was to get a wider picture of the articles published in the Swedish online newspaper Nyheter24. The newspaper is the biggest newspaper only coming out online in Sweden today and basically the idea was to get an overview of their content. The study was based upon two research questions: “What does Nyheter24 write about?” and “What type of journalism does Nyheter24 make?” My research method was a quantitative content analysis and the study contains 550 articles in total, gathered during two weeks time from the website. The results show that Nyheter24 writes about various topics but they tend to produce news stories with an odd or sensational angle. More than half of the articles studied in the news section were rewrites from other news media and less than 20 % of the articles in the same section had quotes from interviews done by the newspaper themselves. In the sports section, just one of all the articles published in the section during the two weeks contained a quote from an interview Nyheter24 had done. The study does also show that investigative journalism is rare at Nyheter24. But it was even more uncommon, zero articles in the news section, for the journalists to do reports of places or news events by going outside the newsroom. What played a bigger part in the news from Nyheter24 was social media. Especially the sports section and the entertainment section published stories where social media was the origin of the story. Generally the results show what several other researchers have found out about online journalism. There is a big recycling of news and the journalists tend to be stuck behind a computer, screening websites and doing rewrites to publish a lot of material quickly. Doing interviews to the stories seemed to have a lower priority.
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Ashok, Ashish Kumar. "Predictive data mining in a collaborative editing system: the Wikipedia articles for deletion process". Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/12026.

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Master of Science
Department of Computing and Information Sciences
William H. Hsu
In this thesis, I examine the Articles for Deletion (AfD) system in /Wikipedia/, a large-scale collaborative editing project. Articles in Wikipedia can be nominated for deletion by registered users, who are expected to cite criteria for deletion from the Wikipedia deletion. For example, an article can be nominated for deletion if there are any copyright violations, vandalism, advertising or other spam without relevant content, advertising or other spam without relevant content. Articles whose subject matter does not meet the notability criteria or any other content not suitable for an encyclopedia are also subject to deletion. The AfD page for an article is where Wikipedians (users of Wikipedia) discuss whether an article should be deleted. Articles listed are normally discussed for at least seven days, after which the deletion process proceeds based on community consensus. Then the page may be kept, merged or redirected, transwikied (i.e., copied to another Wikimedia project), renamed/moved to another title, userfied or migrated to a user subpage, or deleted per the deletion policy. Users can vote to keep, delete or merge the nominated article. These votes can be viewed in article’s view AfD page. However, this polling does not necessarily determine the outcome of the AfD process; in fact, Wikipedia policy specifically stipulates that a vote tally alone should not be considered sufficient basis for a decision to delete or retain a page. In this research, I apply machine learning methods to determine how the final outcome of an AfD process is affected by factors such as the difference between versions of an article, number of edits, and number of disjoint edits (according to some contiguity constraints). My goal is to predict the outcome of an AfD by analyzing the AfD page and editing history of the article. The technical objectives are to extract features from the AfD discussion and version history, as reflected in the edit history page, that reflect factors such as those discussed above, can be tested for relevance, and provide a basis for inductive generalization over past AfDs. Applications of such feature analysis include prediction and recommendation, with the performance goal of improving the precision and recall of AfD outcome prediction.
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Shynkevich, Yauheniya. "Computational intelligence techniques for forecasting stock price movements from news articles and technical indicators". Thesis, Ulster University, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701435.

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Forecasting the future behaviour of market prices is an important area of research, which is exploited in asset allocation, risk management and algorithmic trading. Market behaviour is complex and influenced by many factors whose relationships are non-linear. The amount of financial data available for analysis is increasing substantially due to increased volumes of electronic trading, and market participants who are capable of extracting influential information from these massive amounts of data successfully benefit from using it in trading and investments. Computational intelligence techniques are recognised as capable of learning from large complex datasets and recently have been successfully applied to modelling capital markets. This thesis develops several financial forecasting systems based on computational intelligence that utilise financial time series and/or news articles to predict future stock price changes. The thesis starts with a comprehensive review of academic literature in market predictability and financial forecasting based on computational intelligence. As a result of the undertaken research, three main contributions are elaborated. First, a predictive system is developed that aims to predict future stock price changes based on technical indicators computed from financial time series of prices and volumes. The system is then used to study how its predictive performance depends on the choice of the input window length, which is a parameter used when calculating technical indicators, given a forecast horizon. The following pattern was discovered: for each horizon, the highest forecasting performance is achieved when the input window length is approximately equal to the horizon. The persistence of the pattern was successfully tested on fifty stocks using multiple performance measures and four well established machine learning techniques. Second, a news-based predictive system was developed and exploited to study how the simultaneous use of several categories of financial news can enhance its forecasting performance. News articles were allocated to categories based on their relevance to the target stock. To date, the simultaneous use of multiple news categories has not been investigated. The proposed approach was tested on stocks from the healthcare sector. The experiments reveal that pre-processing those categories independently and then using them simultaneously as input to different kernels of the Multiple Kernel Learning approach produces better results than approaches based on a single news category or a lower number of categories. This finding suggests that a proper inclusion of a wide range of news is advantageous in forecasting the market state. Moreover, the duration of the effects that news articles have on stock prices is explored; it is shown that predictive information relevant to future price changes for more than a month is contained in news articles. Third, the possibility of integrating the past prices-based and news-based predictive systems is explored. Primarily, prices and news are used simultaneously, however this integrated approach does not outperform the news-based system. It is concluded that, when important information is released in the form of a news article, this information influences the market and adding the analysis of past prices does not bring more knowledge about the current market state. Next, a combined approach is proposed where past prices and news are used interchangeably in a predictive system depending on the availability of news articles on the day of forecasting. The combined approach shows promising results; its main benefit is the ability to provide optimum support for everyday decision making processes in investment and trading. This thesis presents results of solid research work in financial forecasting based on news articles and historical prices. It also identifies potentially promising directions of future work.
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43

Dahl, Jonas. "Feature Selection for Sentiment Analysis of Swedish News Article Titles". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233534.

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The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how the text is best represented in such conditions. Sentiment analysis has traditionally been conducted by part-of-speech tagging and counting word polarities, which performs well for large domains and in absence of large sets of training data. For narrower domains and previously labeled data, supervised learning can be used. The work of this thesis tested the performance of a convolutional neural network and a Support Vector Machine on different sets of data. The data sets were constructed to represent various language features. This included for example a simple unigram bag-of-words model storing word counts, a bigram bag-of-words model to include the ordering of words and an integer vector summary of the title. The study concluded that each of the tested feature sets gave information about the sentiment to various extents. The neural network approach with all feature sets combined performed better than the two annotators of the study. Despite the limited data set, overfitting did not seem to be a problem when using the features together.
Målet med detta arbete var att undersöka möjligheten till sentimentanalys av svenska nyhetsrubriker med hjälp av maskininlärning och förstå hur dessa rubriker bäst representeras. Sentimentanalys har traditionellt använt ordklassmärkning och räknande av ordpolariteter, som fungerar bra för stora domäner där avsaknaden av större uppmärkt träningsdata är stor. För mindre domäner och tidigare uppmärkt data kan övervakat lärande användas. Inom ramen för detta arbete undersöktes ett artificiellt neuronnät med faltning och en stödvektormaskin på olika datamängder. Datamängderna formades för att representera olika språkegenskaper. Detta inkluderade bland annat en enkel ordräkningsmodell, en bigramräkningsmodell och en heltalssummering av generella egenskaper för rubriken. I studien dras slutsatsen att varje datamängd innebar att ny information kunde tillföras i olika stor utsträckning. Det artificiella neuronnätet med alla datamängder tillsammans presterade bättre än de två personer som märkte upp data till denna studie. Trots en begränsad datamängd inträffade verkade inte modellerna övertränas.
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Young, Kate. "Partners not patients: Healthcare for endometriosis from the perspectives of women and clinicians". Thesis, Monash University, 2018. https://monash.figshare.com/articles/Partners_not_patients_Healthcare_for_endometriosis_from_the_perspectives_of_women_and_clinicians/7452971.

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Endometriosis is a chronic inflammatory condition experienced by women. Little is known about the disease or how to support those who live with it. I examined healthcare for endometriosis from the perspectives of women and clinicians to identify how care can address women’s needs. I conducted in-depth interviews with 26 women of various sociodemographic and endometriosis experience profiles, and semi-structured interviews with 12 clinicians (general practitioners, gynaecologists). Through a social constructionist framework, I analysed these interviews and identified that, to address the complexities of endometriosis, clinicians must be supported to incorporate women’s knowledge and perspectives into care.
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Splendiani, Bruno. "A proposal for the inclusion of accessibility criteria in the authoring workflow of images for scientific articles". Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/386242.

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This thesis investigates the problem of how to provide accessible images in academic articles in the research fields of Science, Technology, Engineering and Mathematics (STEM) and in particular in biomedicine. Currently, graphics in scientific articles are a critical information source and often provide essential information for a thorough understanding of scientific articles. People with visual and other impairments experience specific barriers that prevent them from accessing the information conveyed by figures. Therefore, when academic articles do not include universally accessible images, the ability to perceive and comprehend scientific information is dramatically reduced in blind readers, readers with visual impairments and other impairments (such as cognitive impairments) or readers accessing digital content under specific context and conditions (e.g., using a small and monochrome display). The thesis reviews the current publishers’ policies and practices and the authors’ practices and attitudes in the process of image authoring and submission in STEM articles, in order to optimize the integration of accessibility requirements in the image creation and submission process. In particular, the proposal includes recommendations on how to make accessible images based on current practices in image editing and suggests the use of suitable, effective and meaningful captions and mentions as texts that can replace and describe the visual information, in order to spare authors (and publishers) the task of creating alternative texts. The study can be divided into the following steps: • Firstly, an initial multidisciplinary literature review from the research fields of accessibility, library and information science, information visualization and semantic web is performed to assess the current proposals on the image access and description. The different disciplines contribute to define a model for the analysis and description of images and to provide technical solutions for improving their accessibility. • Secondly, an audit of the current publishing practices, policies and submission guidelines related to the accessibility of images in academic journals in the fields of biomedicine, computer science and mathematics is performed. This review assesses the current accessibility level of images and the characteristics and functions of the visual information commonly used in academic publications. • Thirdly, a survey and interviews with academic researchers in medicine and biology are performed for assessing practices and attitudes in the process of image authoring, submission and publishing. • Finally, a set of recommendations for improving the accessibility of images is proposed. It is based on the current practices of authors and publishers. This research demonstrates a deficient accessibility of images, a lack of inclusion of accessibility issues into the current authoring workflow and proposes recommendations and guidelines on how to improve these conditions. The results of the thesis also emphasize that the adoption of a general model of textual descriptions covering all types of images has limited results for the creation of effective text alternatives, due to the high heterogeneity of the characteristics, functions and context of the images. Hence, the thesis proposes the adoption of a model for the textual description of images based on the analysis of each type of image and adapted to each of them. The main contribution of the proposal is that it is tailored to the specific context of STEM academic publishing and is linked to the current practices in image submission and publishing. This is the main difference of the proposal compared to the current accessibility guidelines, which are seldom general and disconnected from the policies and practices of the specific context where they should be applied. Therefore, it aims at limiting the changes demanded for the implementation of accessibility requirements in the current image publishing workflow, increasing the opportunities of an actual application of accessibility principles.
Esta tesis estudia la cuestión de cómo proporcionar imágenes accesibles en los artículos académicos de Ciencia, Tecnología, Ingeniería y Matemáticas (disciplinas “STEM” en inglés) y en particular en biomedicina. A menudo las figuras son una fuente de información esencial para la comprensión de un artículo científico. Las personas con discapacidades visuales u otras discapacidades se enfrentan a barreras que les impiden acceder a la información proporcionada por las figuras. La tesis analiza las políticas y las prácticas actuales de los editores y las prácticas y las opiniones de los autores en el proceso de autoría y envío de imágenes científicas, con el objetivo de optimizar la integración de requerimientos de accesibilidad en el proceso de creación y sumisión de figuras en artículos científicos. La investigación evidencia una falta de accesibilidad de las imágenes y de inclusión de pautas de accesibilidad en el actual flujo de trabajo de autoría de imágenes y propone recomendaciones y directrices para mejorar la situación. Los resultados de la tesis además evidencian que la adopción de un modelo general de descripción textual para todos los tipos de imágenes científicas presenta limitaciones para la de creación de alternativas textuales eficaces, debido a la variedad de características, funciones y contextos de las imágenes mismas. Por ese motivo, la tesis propone la adopción de un modelo de descripción de imágenes basado en el análisis de cada tipología de imagen y adaptado a cada una de ella, de forma más específica posible. La contribución principal de la propuesta es la de ser adaptada al contexto específico de la publicación de artículos académicos STEM y de ser conectada a las prácticas corrientes de autoría, sumisión y publicación de imágenes. La propuesta apunta a limitar los cambios en el actual flujo de trabajo editorial para la implementación de directrices de accesibilidad, aumentando las oportunidades de una verdadera aceptación de principios de accesibilidad.
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Woods, William John. "Articles of peace : Anglican rationales for subscription, 1772-1779 : the priest's reply to the freethinker /". Title page, table of contents and introduction only, 2004. http://web4.library.adelaide.edu.au/theses/09AR/09arw8941.pdf.

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Parveen, Daraksha [Verfasser], e Michael [Akademischer Betreuer] Strube. "A Graph-Based Approach for the Summarization of Scientific Articles / Daraksha Parveen ; Betreuer: Michael Strube". Heidelberg : Universitätsbibliothek Heidelberg, 2020. http://d-nb.info/1206347848/34.

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Wang, Yu-fang, e 王玉峯. "Recommending Subject Categories for Journal articles". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/p2w9sm.

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碩士
國立中央大學
企業管理學系在職專班
102
With the proliferation of academic journals, a common issue faced by young scholars or researchers who wish to tread into the field of cross disciplines is to locate suitable categories and journals to submit their works. To lessen the severity of the issue, this research proposed a Naïve Bayes Classification method to recommend subject categories for a manuscript by analyzing the title words. The challenging of this study came from the huge amount of data. By limiting the subject categories to the areas where NCU faculty members have published in the past three years, we got 64 categories and 199 journals. The number of articles in these journals are 224,870 The data that are used to build the classification model consists of 171,625 records and the testing data have 53,245 records. With intensive coding, the study is able to come out with a system to handle the job with reasonable performance. The Hit ratios are 67.24% and 38.34% for Rough Hitting Ratio (RHR) and Precise Hitting Ratio (PHR), respectively.
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Shih, Yao-Hsiang, e 施耀翔. "An Overall Reading Method for HBR Articles". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/52856324236587117243.

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碩士
國立交通大學
資訊管理研究所
98
Articles of Harvard Business Review(HBR)are the most well-known materials for teaching case study in business schools. However, since HBR articles contain huge amount of knowledge, it is not easy to memorize and to reorganize cases conveniently. This thesis proposes a systematic method to analyze, classify, and illustrate more than 100 HBR articles from 2007 to 2010 in order to form a series of article diagrams, cluster diagrams, overall diagrams and issue diagrams. The method enables readers to read, memorize, edit, and utilize business cases. Moreover, this thesis also integrates with an electronic book system to allow readers to view and edit HBR articles on-line.
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50

吳毓傑. "Cluster-based Categorization for Chinese News Articles". Thesis, 2003. http://ndltd.ncl.edu.tw/handle/05058007535814690178.

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碩士
銘傳大學
資訊管理研究所
91
Text categorization is the process of distributing text documents into one or more predefined categories or classes of similar documents. There are two aspects of representing a document. Both word-based and class-based representations of document have been used in the literature. However most common word-based approaches used in vector space model refer to use feature selection on large text data. The crux of the word-based problem is high dimensional space and sparse data distribution. In recent years, attention has been shifted from word-based towards class-based representation, in the hope of providing broader coverage for unrestricted text. In this thesis, we used bisecting K-means to cluster terms. In order to increase the quality of bisecting K-means, we employed the K-means algorithm to refine each cluster. Thus, some small clusters could be assigned to other related clusters. Our test collection consists of lots of Chinese newswire articles to be our experimental materials, and the support vector machine was used to classify test data. Our experimental results demonstrate that the accuracy of bisecting K-means algorithm outperformed (about 10%) the hierarchical cluster. In order to control the number of clusters, we made use of a dis-similarity analysis to find the appropriate number of clusters to represent the dimensionality for each document. Based on this tuning approach, we can automatically obtain suitable number of clusters.
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