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31	Развитие бизнеса в социальных сетях : магистерская диссертация / Business development in social networks Пермяков, И. А., Permiakov, I. A. January 2019 (has links) Диссертация посвящена вопросам социального маркетинга – Social Media Marketing (SMM). Рассматривается статистика продвижения товаров и услуг через работу в социальных сетях. Предметом анализа выступает инструментарий SMM, статистика активных пользователей и капитализация компаний. Результаты исследования могут быть применены в сфере организации SMM-продвижения бизнес-процессов и подготовки студентов в области онлайн-маркетинга. / The article is devoted to the issues of network marketing – Social Media Marketing (SMM). We Сonsider the statistics of the promotion of goods and services through the work in social networks. The subject of the analysis is the SMM toolkit and its system application. The results of the study can be applied in the organization of SMM-support business processes and prepare students in the field of online marketing. МАРКЕТИНГ КЛИК ОНЛАЙН-ПЛАТФОРМА СОЦИАЛЬНАЯ СЕТЬ СОЦИАЛЬНАЯ СЕТЬ ЛИДОГЕНЕРАЦИЯ ЦЕЛЕВАЯ АУДИТОРИЯ MASTER'S THESIS MARKETING PROMOTION OF GOODS AND SERVICES STATISTICS OF SALES AND APPEALS CRY ONLINE PLATFORM SOCIAL NETWORK CONTEXTUAL ADVERTISING TARGETED ADVERTISING - TARGETING LEAD GENERATION THE TARGET AUDIENCE
32	Речевые стратегии и тактики в продвижении магазинов эко-товаров в социальных сетях : магистерская диссертация / Speech strategies and tactics in promoting eco-shops in social networks Перфильева, М. А., Perfilyeva, M. A. January 2021 (has links) Работа посвящена сравнительному анализу речевых стратегий и тактик в продвижении магазинов эко-товаров в социальных сетях Facebook и Instagram. Материал исследования составили 63 текста на русском языке и 63 текста на английском языке, опубликованные на 20 страницах магазинов, предлагающих эко-товары, за 2020 – 2021 гг.. Первая глава исследования посвящена рассмотрению подходов к определению понятий «речевые стратегии» и «речевые тактики», а также классификаций речевых стратегий и тактик, разработанных российскими и зарубежными авторами. В данной главе также рассмотрены особенности продающих и продвигающих текстов. Во второй главе исследования уделяется внимание социальным сетям Facebook и Instagram, рассмотрен их функционал, история развития и особенности продвижения страниц компаний на данных площадках. Также в данной главе дано определение понятия «экологический маркетинг» и приводится обоснование причин спроса на эко-товары в 2021 году. Третья глава посвящена анализу англоязычных и русскоязычных рекламных текстов. Разработана классификация, которая отражает наиболее часто встречающиеся речевые стратегии и тактики, опубликованные на страницах магазинов эко-товаров. Результаты исследования могут быть использованы практикующими копирайтерами, занимающимися текстовым наполнением страниц экологической направленности в социальных сетях, а также блогерами и другими пользователями социальных сетей, публикующих тексты по теме экологии. Разработанная классификация речевых стратегий и тактик может стать основой для дальнейших лингвистических исследований речевых стратегий и тактик различных дискурсов. В приложении приводится корпус проанализированных текстов в формате классификации. / The research is focused on a comparative analysis of speech strategies and tactics in promoting eco-shops in social networks such as Facebook and Instagram. The collected material includes 63 texts in Russian and 63 texts in English, which were published on 20 pages of shops offering eco-products for the period 2020 – 2021. The first chapter of the study is devoted to the consideration of approaches to the definition of the concepts of "speech strategies" and "speech tactics", as well as classifications of speech strategies and tactics developed by Russian and foreign authors. This chapter also examines the features of selling and promoting texts. In the second chapter, the study focuses on social networks Facebook and Instagram, examines their functionality, history of development and features of promoting company pages on these platforms. Also, this chapter provides a definition of the concept of "environmental marketing" and provides an explanation why eco-products are in demand in 2021. The third chapter is devoted to the analysis of English-language and Russian-language advertising texts. A classification has been developed that reflects the most common speech strategies and tactics published on the pages of eco-shops. The research results can be used by practicing copywriters who are engaged in text filling of pages with an ecological focus on social networks, as well as by bloggers and other users of social networks who publish texts on the topic of environment. The developed classification of speech strategies and tactics can become the basis for further linguistic research of speech strategies and tactics of various discourses. The appendix contains the corpus of the analyzed texts in the classification format. РЕЧЕВЫЕ СТРАТЕГИИ РЕЧЕВЫЕ ТАКТИКИ РЕКЛАМА СОЦИАЛЬНЫЕ СЕТИ FACEBOOK INSTAGRAM SMM МАГАЗИНЫ ЭКО-ТОВАРОВ ЭКОЛОГИЧНОСТЬ MASTER'S THESIS SPEECH STRATEGIES SPEECH TACTICS SPEECH INFLUENCE PROMOTIONAL COMMUNICATIONS MARKETING LINGUISTICS ADVERTISING SOCIAL NETWORKS FACEBOOK INSTAGRAM SMM ENVIRONMENTAL MARKETING ECO-SHOPS ENVIRONMENTAL FRIENDLINESS
33	Modelagem e cômputo de métricas de interesse no contexto de modernização de sistemas legados Honda, Raphael Rodrigues 13 October 2014 (has links) Made available in DSpace on 2016-06-02T19:06:19Z (GMT). No. of bitstreams: 1 6441.pdf: 3762020 bytes, checksum: cf0babba26cd55b52382a3a068029d68 (MD5) Previous issue date: 2014-10-13 / Universidade Federal de Sao Carlos / Maintaining legacy systems is a complex and expensive activity for many companies. An alternative to this problem is the Architecture-Driven Modernization (ADM), proposed by the OMG (Object Management Group). ADM is a set of principles that support the modernization of systems using models. The Knowledge Discovery Metamodel (KDM) is the main ADM metamodel and it is able to represent various characteristics of a system, such as source code, configuration files and GUI. Through a reverse engineering process supported by tools is possible to extract knowledge from legacy source code and store it in KDM metamodel instances. Another metamodel that is important to this project is the Structured Metrics Metamodel (SMM) that allows the specification of metrics and also the representation of the measurements results performed on KDM models. When we decide to modernize a legacy system, an alternative that aims to improve concerns modularization of a system is the Aspect-Oriented Programming. Considering this alternative, the main goal of this project is to present an approach to defining and computing concern metrics in instances of KDM metamodel. This kind of measurement needs a prior concern mining that make notes on system components indicating concerns which it implements. To achieve the project objective, a complete approach to measure concerns using ADM models was developed, this approached is composed by an extension of KDM metamodel for representing Aspect- Oriented Software (AO-KDM), a concern metrics library in SMM format (CCML) developed in order to be parameterized by the Modernization Engineer. Therefore, the metrics defined in this project can be reused in other projects. Furthermore, we have developed a tool (CMEE) capable of handling parameterization annotations (notes about concerns made by the mining tools) that allows that models annotated by different mining tools could be measured by SMM metrics. / Manter sistemas legados é uma atividade complexa e cara para muitas empresas. Uma alternativa para este problema é a Modernização Dirigida à Arquitetura (Architecture- Driven Modernization - ADM), proposta pelo OMG (Object Management Group). A ADM consiste em um conjunto de princípios que apoiam a modernização de sistemas utilizando modelos. O Knowledge Discovery Metamodel (KDM) é o principal metamodelo da ADM e é capaz de representar diversas características de um sistema, como código-fonte, arquivos de configuração e de interface gráfica. Por meio de um processo de engenharia reversa apoiado por ferramentas é possível extrair conhecimento do código-fonte legado e armazená-lo em instâncias do metamodelo KDM. Outro metamodelo da ADM pertinente a este projeto é o Structured Metrics Metamodel (SMM) que torna possível a especificação de métricas e também a representação dos resultados de medições realizadas em modelos KDM. Quando decide-se modernizar um sistema legado, uma alternativa que procura melhorar o nível de modularização dos interesses de um sistema é a orientação a aspetos. Considerando essa alternativa, o objetivo deste projeto é apresentar uma abordagem para definição e aplicação de métricas de interesse em instâncias do metamodelo KDM. Esse tipo de medição precisa de uma mineração de interesses prévia, que realiza anotações nos componentes do sistema indicando qual interesse ele implementa. Para alcançar o objetivo do projeto, foi desenvolvida uma abordagem completa de medição de interesses utilizando modelos da ADM, composta por uma extensão do KDM para a representação de software orientado a aspectos (AO-KDM), uma biblioteca de métricas de interesses no formato SMM (CCML) desenvolvida com o intuito de ser parametrizável pelo Engenheiro de Modernização. Portanto, as métricas definidas neste projeto podem ser reusadas em outros projetos. Além disso, foi desenvolvida uma ferramenta de apoio computacional (CMEE) capaz de lidar com parametrização de anotações (anotações de interesses realizadas por ferramentas de mineração) que permite que modelos anotados com diferentes ferramentas de mineração possam ser medidos por métricas SMM. Engenharia de software Reengenharia orientada à aspectos Medição Architecture-Driven Modernization - ADM Modelos Knowledge Discovery Metamodel - KDM Modernização Métricas Interesses transversais Modernization Measurement Metric ADM SMM KDM Evolution Crosscutting concerns Reengineering
34	Transformations of Energy-Related Small Molecules at Dinuclear Complexes Lücken, Jana 02 November 2021 (has links) No description available. 540 water oxidation oxygen activation formic acid decarboxylation ruthenium cobalt copper dinuclear complexes copper hydride transition metal complexes coordination chemistry small molecule activation catalysis WOC small molecule transformation SMM magnetism Chemie (PPN62138352X)
35	Synthèse, caractérisation et propriétés magnétiques de nano-aimants moléculaires / Synthesis, characterization and magnetic properties of single molecule magnets Zakhia, Georges 18 May 2015 (has links) Dans la première partie de ce travail de thèse, nous nous sommes intéressé à l’étude de l’anisotropie magnétique au sein de complexes mononucléaires de Ni(II) et de Co(II) pentacoordinés de géométrie allant de la pyramide à base carrée jusqu’à la bipyramide trigonale. Pour les complexes mononucléaires, nous avons montré que pour une géométrie donnée, la nature de l’ion métallique a une influence importante sur l’anisotropie magnétique.Nous avons étudié l’effet de la géométrie pour un même ion métallique. Dans le cas d’une géométrie bipyramidale trigonale (symétrie C3v), nous avons montré que le complexe de Co(II) possède un axe facile de l’aimantation et donc un blocage de l’aimantation qui conduisent à l’ouverture d’un cycle d’hystérèse à basse température. Ce type de complexe peut donc être utilisé pour le stockage de l’information. Dans la deuxième partie du travail, nous avons étudié les propriétés magnétiques de complexes binucléaires. Un complexe binucléaire de Co(II) pontés par deux Cl- présente un faible couplage ferromagnétique et un blocage de l’aimantation.Enfin, l’autre aspect de ce travail est de réaliser une molécule binucléaire où deux ions anisotropes, chacun possédant un axe facile de l’aimantation, soient faiblement couplés de manière antiferromagnétique. Pour ce faire, nous avons étudié des composés avec des ligands de type cryptant où la géométrie autour des Co(II) est bipyramide trigonale. Nous avons trouvé qu’avec un ligand pontant de type Cl- ou Br-, l’interaction d’échange est beaucoup plus importante que l’anisotropie locale des ions Co(II) conduisant à un comportement magnétique où les ions perdent leur caractère local. Ce travail ouvre la perspective de synthétiser le même type de complexes mais avec des ponts de plus grande taille pour diminuer l’intensité du couplage antiferromagnétique. / In the first part of this thesis, we studied the magnetic anisotropy of pentacoordinated mononuclear Ni(II) and Co(II) complexes possessing geometries from square pyramid to trigonal bipyramid. We have shown that, for a given geometry, the metal ion nature has an important influence on the magnetic anisotropy.Then, we studied for a given metal ion the effect of geometry on its magnetic anisotropy. In the case of a trigonal bipyramidal geometry (C3v symmetry), we showed that Co(II) has an Ising type anisotropy (easy axis of magnetization) and thus a blocking of magnetization that leads to an opening of a hysteresis cycle at low temperature. This type of complexes can be used for storing data albeit at low temperature.In the second part of the work, we studied the magnetic properties of binuclear complexes. A binuclear Co(II) complex bridged by two Cl- has a weak ferromagnetic coupling and a blocking of its magnetization.Finally, another aspect of this work was to design binuclear complexes, where two anisotropic ions having each one an easy axis of magnetization, are weakly antiferromagnetically coupled. To do this, we have studied compounds with cryptand ligands where the geometry around the Co (II) is trigonal bipyramid. We found that with a Cl- or Br- bridging ligand, the exchange interaction is much more important than the local anisotropy of Co(II) ions leading to a magnetic behavior where the ions lose their local character. This work opens up prospects for synthesizing the same type of complex but with larger bridges to decrease the intensity of the antiferromagnetic coupling. Métaux de transition Cobalt (II) Nickel (II) Complexes mononucléaires Complexes dinucléaires Magnétisme moléculaire Anisotropie magnétique SQUID Complexes pentacoordinés Chimie moléculaire Chimie de coordination Aimants moléculaires Aimants moléculaires Cobalt (II) Nickel (II) Mononuclear complexes Dinuclear complexes Molecular magnetism Magnetic anisotropy, SQUID Pentacoordinated complexes Molecular chemistry Coordination chemistry Single molecule magnets (SMM)
36	An examination of social media marketing strategies by Ohio show livestock producers and how they influence business Kinion, Charles Kane 09 August 2022 (has links) No description available. Agriculture Agricultural Education Animals Animal Sciences Communication Curriculum Development Education Journalism Marketing Mass Communications Web Studies Social Media Marketing SMM
37	Essays on macroeconomic theory as a guide to economic policy Ried, Stefan 15 October 2009 (has links) Die vorliegende Dissertation zu makroökonomischen Themen beinhaltet einen einleitenden Literaturüberblick, drei eigenständige und voneinander unabhängige Kapitel sowie einen technischen Anhang. In Kapitel zwei wird ein Zwei-Länder Modell einer Währungsunion betrachtet, in dem die gemeinsame Zentralbank die Wohlfahrt der gesamten Währungsunion maximieren will, während die zwei fiskalpolitischen Akteure vergleichbare, aber minimal abweichende länderspezifische Verlustfunktionen zu minimieren suchen. Das Konkurrenzverhalten dieser drei Institutionen wird in sieben spieltheoretischen Szenarien analysiert. Beim Vergleich einer homogenen mit einer heterogenen Währungsunion lassen sich für letztere deutlich höhere Wohlfahrtsverluste relativ zum sozialen Optimum feststellen. Die Szenarien mit den geringsten Wohlfahrtsverlusten sind Kooperation aller drei Institutionen und eine Stackelberg-Führerschaft der Zentralbank. Kapitel drei untersucht, inwieweit das Verhältnis von Immobilienpreise zum Bruttoinlandsprodukt als langfristig konstant und nur auf Grund von Produktivitätsschocks von seinem Mittelwert abweichend angesehen werden kann. Hierzu wird ein Zwei-Sektoren RBC-Modell für den Immobiliensektor und einen Konsumgütersektor erstellt. Es wird gezeigt, dass ein antizipierter, zukünftiger Schock auf das Produktivitätswachstum im Konsumgütersektor eine sofortige, deutliche Erhöhung der Immobilienpreise relativ zum Bruttoinlandsprodukt zur Folge hat. In Kapitel vier wird gefragt, ob ein typisches Neukeynesianisches Modell "sechs große Rätsel der internationalen Makroökonomie" erklären kann. Die sechs Rätsel werden in Bedingungen für erste und zweite Momente übersetzt und fünf wesentliche Modellparameter geschätzt. Das Ergebnis ist erstaunlich gut: unter anderem können die empirischen Beobachtungen zur Heimatpräferenz wiedergegeben und die Schwankungsbreite des realen Wechselkurses deutlich erhöht werden. Handelskosten sind für dieses Ergebnis ein wesentlicher Faktor. / This dissertation consists of an introductory chapter with an extended literature review, three chapters on individual and independent research topics, and an appendix. Chapter 2 uses a two-country model with a central bank maximizing union-wide welfare and two fiscal authorities minimizing comparable, but slightly different country-wide losses. The rivalry between the three authorities is analyzed in seven static games. Comparing a homogeneous with a heterogeneous monetary union, welfare losses relative to the social optimum are found to be significantly larger in a heterogeneous union. The best-performing scenarios are cooperation between all authorities and monetary leadership. The goal of Chapter 3 is to investigate whether or not it is possible to explain the house price to GDP ratio and the house price to stock price ratio as being generally constant, deviating from its respective mean only because of shocks to productivity? Building a two-sector RBC model for residential and non-residential capital, it is shown that an anticipated future shock to productivity growth in the non-residential sector leads to an immediate large increase in house prices relative to GDP. In Chapter 4, it is asked whether a typical New Keynesian Open Economy Model is able to explain "Six Major Puzzles in International Macroeconomics". After translating the six puzzles into moment conditions for the model, I estimate five parameters to fit the moment conditions implied by the data. Given the simplicity of the model, its fit is surprisingly good: among other things, the home bias puzzles can easily be replicated, the exchange rate volatility is formidably increased and the exchange rate correlation pattern is relatively close to realistic values. Trade costs are one important ingredient for this finding. Makroökonomie Wirtschaftspolitik Währungsunion Immobilienmarkt Langfristrisiken Neukeynesianische Modelle Kleine offene Volkswirtschaft SMM-Schätzung macroeconomics economic policy DSGE models currency union monetary-fiscal interactions real estate economics long run risk New Keynesian models 330 Wirtschaft 17 Wirtschaft QC 300 ddc:330
38	Enhanching the Human-Team Awareness of a Robot Wåhlin, Peter January 2012 (has links) The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human teams. This capability could, for instance, be used in the robot's reasoning and planning components to create better plans that ultimately would result in improved human-robot teamwork performance. we propose to improve existing teamwork activity recognizers by adding intangible features, such as stress, motivation and focus, originating from human behavior models. Hidden markov models have earlier been proven very efficient for activity recognition and have therefore been utilized in this work as a method for classification of behaviors. In order for a robot to provide effective assistance to a human team it must not only consider spatio-temporal parameters for team members but also the psychological.To assess psychological parameters this master thesis suggests to use the body signals of team members. Body signals such as heart rate and skin conductance. Combined with the body signals we investigate the possibility of using System Dynamics models to interpret the current psychological states of the human team members, thus enhancing the human-awareness of a robot. / Användningen av autonoma robotar i vårt samhälle ökar varje dag och en robot ses inte längre som ett verktyg utan som en gruppmedlem. Robotarna arbetar nu sida vid sida med oss och ger oss stöd under farliga arbeten där människor annars är utsatta för risker. Denna utveckling har i sin tur ökat behovet av robotar med mer människo-medvetenhet. Därför är målet med detta examensarbete att bidra till en stärkt människo-medvetenhet hos robotar. Specifikt undersöker vi möjligheterna att utrusta autonoma robotar med förmågan att bedöma och upptäcka olika beteenden hos mänskliga lag. Denna förmåga skulle till exempel kunna användas i robotens resonemang och planering för att ta beslut och i sin tur förbättra samarbetet mellan människa och robot. Vi föreslår att förbättra befintliga aktivitetsidentifierare genom att tillföra förmågan att tolka immateriella beteenden hos människan, såsom stress, motivation och fokus. Att kunna urskilja lagaktiviteter inom ett mänskligt lag är grundläggande för en robot som ska vara till stöd för laget. Dolda markovmodeller har tidigare visat sig vara mycket effektiva för just aktivitetsidentifiering och har därför använts i detta arbete. För att en robot ska kunna ha möjlighet att ge ett effektivt stöd till ett mänskligtlag måste den inte bara ta hänsyn till rumsliga parametrar hos lagmedlemmarna utan även de psykologiska. För att tyda psykologiska parametrar hos människor förespråkar denna masteravhandling utnyttjandet av mänskliga kroppssignaler. Signaler så som hjärtfrekvens och hudkonduktans. Kombinerat med kroppenssignalerar påvisar vi möjligheten att använda systemdynamiksmodeller för att tolka immateriella beteenden, vilket i sin tur kan stärka människo-medvetenheten hos en robot. / <p>The thesis work was conducted in Stockholm, Kista at the department of Informatics and Aero System at Swedish Defence Research Agency.</p> robotics Artificial Intelligence AI System Dynamics Wireless Body Area Network WBAN sensors Psychology physiology human behavior Human-Robot-Interaction HRI robot Human-Team awareness human-robot RapidMiner Vensim JaHMM hidden markov models HMM eclipse rcp ARFF recognizer classification cross-validation human behavior stress detection Galvanic Skin Response Heart Rate Skin Temperature Finger Temperature Electrocardiogram ECG GSR ST Pupil Diameter PD Patient monitoring GPS Data acquisition dataset data set MODERE Yerkes-Dodson SD model SD Confusion matrix spatial MOUT Java Agent robotic agent Machine Learning activity recognition team oriented robot Evaluation Decoding Learning Forward Algorithm Backward Algorithm Baum-Welch feedback loop Situation Awareness SA Shared Mental Models SMM

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