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11.
The aim of this study was to investigate videos as potential triggers of behavior. Therefore, we applied the theories of triggers and media richness to learn about the triggering efficiency of mobile marketing videos on participants’ behavioral intentions. The experiment involved three distinct test groups, each comprising 41 student participants. From the perspective of media richness theory, we observed that the different kinds of videos had quite similar effects in terms of triggering behavioral changes. However, the mechanisms explaining why triggers were present differed for each video. Further, the results reveal that the consumer's position in the information search process was the most significant reason for the triggering of any kind of effect. In addition, the instructionally designed videos were able to exert an affective triggering effect: the more participants liked the video, the more it affected their participation intention and recall scores. This study extends the media richness research by demonstrating that the effects of media richness can vary within technically similar videos, as they form different logical connections among non-verbal visual cues related to a video's storyline.  相似文献   
12.
This is an update of the authors’ annotated bibliography of Iranian peer-reviewed scholarly journals that was published in 2010 in the Serials Librarian. The total number of scholarly journals published in Iran increased from 503 to 1,176 journals in 2017. The forty top journals ranked by impact factor from eight different disciplines are presented in this article. The entry for each journal includes the following information: title, subject, date founded, frequency, editor, language, publisher, address, phone number, FAX number, web address, International Standard Serial Number, indexing/abstracting sources, impact factor, ministry, and an abstract/annotation.  相似文献   
13.
A long-time lover of music, I confess to having a bizarre penchant for trying to test my informally trained musical intelligence in situations which require quick recognition, be it a piece, a composer, a performer, or some such feature. In fact, this article originated with my failure to recognize a theretofore unfamiliar work and with the surprise I experienced upon learning it was Verdi's last opera,Falstaff, composed when he was nearly 80. For a listener familiar withLa Traviata orAida, it appeared quite strange and surprising. Moreover, as I found out later, the sense of puzzlement was not merely a matter of subjective impression but rather exemplified an overall stylistic departure in Verdi's late life work, its salient features being compression and urgency rather than spaciousness, flowing line, a pervasive use of biting irony compared to the straightforward lyricism of the earlier work, a retreat from psychological realism in favour of sketchy, abstract portrayals, an overall impatience with established operatic convention, and a symphonic rather than linear or melodic conception. Some of these characteristics have also been found in the late works of painters and sculptors (e.g., Arnheim, 1986; Clark, 1972; Munsterberg, 1983). Taken together these observations raised for me the issue of artistic change, an issue of considerable significance to the understanding of creative endeavour in general.  相似文献   
14.
The management of intellectual capital (IC) resources increases organizational value creation capacities. The aim of this study is to present an algorithm for analysing IC management with an emphasis on the recognition and modelling of growth mechanisms for strategic resources. Intensive interactions among different tangible and intangible assets turn organizations into complex systems of highly interrelated resources; therefore, a systems approach is adopted, and a causal loop diagram is used to model resource interaction feedback structures. The development and analysis of the resource interactions model is explained through a practical algorithm that reveals different dimensions of resource deployment, including the potential value of resources, utilization of resources in key business processes, and mechanisms responsible for the sustained growth of strategic resources. The proposed algorithm was used to examine a telecommunication company. We show that there are no growth mechanisms for certain strategic resources. To activate the growth of such strategic resources, several feedback loops are recognized and related initiatives are proposed.  相似文献   
15.
Speaker variability is an important source of speech variations which makes continuous speech recognition a difficult task. Adapting automatic speech recognition (ASR) models to the speaker variations is a well-known strategy to cope with the challenge, Almost all such techniques focus on developing adaptation solutions within the acoustic models of the ASR systems. Although variations of the acoustic features constitute an important portion of the inter-speaker variations, they do not cover variations at the phonetic level. Phonetic variations are known to form an important part of variations which are influenced by both micro-segmental and suprasegmental factors. Inter-speaker phonetic variations are influenced by the structure and anatomy of a speaker's articulatory system and also his/her speaking style which is driven by many speaker background characteristics such as accent, gender, age, socioeconomic and educational class. The effect of inter-speaker variations in the feature space may cause explicit phone recognition errors. These errors can be compensated later by having appropriate pronunciation variants for the lexicon entries which consider likely phone misclassifications besides pronunciation. In this paper, we introduce speaker adaptive dynamic pronunciation models, which generate different lexicons for various speaker clusters and different ranges of speech rate. The models are hybrids of speaker adapted contextual rules and dynamic generalized decision trees, which take into account word phonological structures, rate of speech, unigram probabilities and stress to generate pronunciation variants of words. Employing the set of speaker adapted dynamic lexicons in a Farsi (Persian) continuous speech recognition task results in word error rate reductions of as much as 10.1% in a speaker-dependent scenario and 7.4% in a speaker-independent scenario.  相似文献   
16.
用以延长普通钢筋混凝土构件使用寿命的腐蚀控制措施不断失效,使人们对纤维增强聚合物(简称FRP)在既有结构的修补和修复,以及新建结构中的应用研究产生了极大兴趣.FRP材料的优点有抗电化学腐蚀性、高比强度、电绝缘性.现将对FRP材料在土木工程中的应用进程进行回顾,对FRP的应用前景作以前瞻,并将讨论FRP用于既有结构的修补.同时,还将介绍FRP应用于新建结构中,即作为原始承载构件、作为普通筋或者预应力筋用于混凝土构件中、作为混凝土的成型模板等几种应用型式.  相似文献   
17.
In this study, the efficiency of bitumen and asphalt mixtures modified with crumb rubber (CR) and recycled glass powder (RGP) is evaluated. From an environmental point of view, the application of RGP in asphalt mixtures is considered beneficial since it prevents accumulation of waste glass in the natural environment. Rheological and mechanical properties of modified bitumen samples were investigated by laboratory methods such as bitumen conventional tests and dynamic shear rheometer (DSR), and also by asphalt mixture performance tests including Marshall stability, indirect tensile strength (ITS), compressive strength, and indirect tensile stiffness modulus. The results showed that the application of RGP in place of CR has no negative impact on the efficiency of bitumen and asphalt mixtures and even improves their engineering properties except for the toughness index (TI). Moreover, a modification with 5% CR and 5% RGP in asphalt mixtures results in the best overall performance.  相似文献   
18.
The ever increasing presence of online social networks in users’ daily lives has led to the interplay between users’ online and offline activities. There have already been several works that have studied the impact of users’ online activities on their offline behavior, e.g., the impact of interaction with friends on an exercise social network on the number of daily steps. In this paper, we consider the inverse to what has already been studied and report on our extensive study that explores the potential causal effects of users’ offline activities on their online social behavior. The objective of our work is to understand whether the activities that users are involved with in their real daily life, which place them within or away from social situations, have any direct causal impact on their behavior in online social networks. Our work is motivated by the theory of normative social influence, which argues that individuals may show behaviors or express opinions that conform to those of the community for the sake of being accepted or from fear of rejection or isolation. We have collected data from two online social networks, namely Twitter and Foursquare, and systematically aligned user content on both social networks. On this basis, we have performed a natural experiment that took the form of an interrupted time series with a comparison group design to study whether users’ socially situated offline activities exhibited through their Foursquare check-ins impact their online behavior captured through the content they share on Twitter. Our main findings can be summarised as follows (1) a change in users’ offline behavior that affects the level of users’ exposure to social situations, e.g., starting to go to the gym or discontinuing frequenting bars, can have a causal impact on users’ online topical interests and sentiment; and (2) the causal relations between users’ socially situated offline activities and their online social behavior can be used to build effective predictive models of users’ online topical interests and sentiments.  相似文献   
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ABSTRACT

Moral Foundations Theory (MFT) and the Model of Intuitive Morality and Exemplars (MIME) contend that moral judgments are built on a universal set of basic moral intuitions. A large body of research has supported many of MFT’s and the MIME’s central hypotheses. Yet, an important prerequisite of this research—the ability to extract latent moral content represented in media stimuli with a reliable procedure—has not been systematically studied. In this article, we subject different extraction procedures to rigorous tests, underscore challenges by identifying a range of reliabilities, develop new reliability test and coding procedures employing computational methods, and provide solutions that maximize the reliability and validity of moral intuition extraction. In six content analytical studies, including a large crowd-based study, we demonstrate that: (1) traditional content analytical approaches lead to rather low reliabilities; (2) variation in coding reliabilities can be predicted by both text features and characteristics of the human coders; and (3) reliability is largely unaffected by the detail of coder training. We show that a coding task with simplified training and a coding technique that treats moral foundations as fast, spontaneous intuitions leads to acceptable inter-rater agreement, and potentially to more valid moral intuition extractions. While this study was motivated by issues related to MFT and MIME research, the methods and findings in this study have implications for extracting latent content from text narratives that go beyond moral information. Accordingly, we provide a tool for researchers interested in applying this new approach in their own work.  相似文献   
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