scholarly journals SOME THEMATIC GROUPS OF MINOR GENRE FORMS OF INFORMATION. SYNTACTIC FEATURES

Author(s):  
Nataliia Leonova ◽  
Yuliia Serdiuchenko

The tendency to increase the speed of transmission of relevant information in specific genre information units is growing nowadays. The article attempts to identify and describe the main syntactic features of some thematic groups of minor genre forms of information (hereinafter referred to as MGFI). It is noted that, acting as only one part of the intonation structure in the sentence, vocative structures of minor genre forms mostly do not require additional disclosure of their content in the context. We single out non-textual existing vocatives belonging to the MGFI of the modern Ukrainian language, which are used in order to attract the attention of an addressee of speech, to encourage them to perceive speech. Syntactic features of genre forms of information related to the communicative component of the information message: announcements, appeals, prohibitions, information distribution and encouragement to perform an action or a requirement not to perform it in any case. The study deals with the structure and functions of announcements of different types as one of the types of minor genre forms of information, their features as syntactic structures. The structural and morphological features of vocative addresses in minor genre forms of periodical information are also analysed.

2018 ◽  
Vol 10 (4) ◽  
pp. 351
Author(s):  
João S. Panero ◽  
Henrique E. B. da Silva ◽  
Pedro S. Panero ◽  
Oscar J. Smiderle ◽  
Francisco S. Panero ◽  
...  

Near Infrared (NIR) Spectroscopy technique combined with chemometrics methods were used to group and identify samples of different soy cultivars. Spectral data, collected in the range of 714 to 2500 nm (14000 to 4000 cm-1), were obtained from whole grains of four different soybean cultivars and were submitted to different types of pre-treatments. Chemometrics algorithms were applied to extract relevant information from the spectral data, to remove the anomalous samples and to group the samples. The best results were obtained considering the spectral range from 1900.6 to 2187.7 nm (5261.4 cm-1 to 4570.9 cm-1) and with spectral treatment using Multiplicative Signal Correction (MSC) + Baseline Correct (linear fit), what made it possible to the exploratory techniques Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) to separate the cultivars. Thus, the results demonstrate that NIR spectroscopy allied with de chemometrics techniques can provide a rapid, nondestructive and reliable method to distinguish different cultivars of soybeans.


2016 ◽  
Vol 5 (2) ◽  
pp. 105 ◽  
Author(s):  
Victor F. Velázquez ◽  
Viviane D. A. Portela ◽  
José M. Azevedo Sobrinho ◽  
Antonio C. M. Guedes ◽  
Mikhaela A. J. S. P Letsch

The Juqueriquerê River channel was formed in a Precambrian crystalline basement. The lithological association is largely composed of ancient metamorphic and igneous rocks, with several overlapping tectonic episodes. Field surveys along the upper and middle course allowed for cataloguing a wide variety of fluvial erosion features. A sizable amount of morphological features have been sculpted on different types of rocks, including furrows, potholes, percussion marks, polishing and smoothing boulders as the most representative. The sizes and shapes of these scour marks are also diverse, and their study has provided important results for better understanding the erosive processes. Given their wide variety, the erosive morphological features offer an excellent opportunity to explore the mechanisms of fluvial erosion and evaluate their effective capacity to remove cobbles and boulders in bedrock river systems.


2021 ◽  
Author(s):  
Niccolo Pescetelli ◽  
Patrik Reichert

Online, social media bots have been accused to spread misinformation and support extreme or minority-held opinions. However, bots in hybrid human-machine teams can also be designed to improve team performance. In this paper, we study the effect of a single minority-supporting bot in hybrid teams in a carefully controlled experiment. People working in teams of 10 were asked to solve a hidden-profile prediction task, where task-relevant information was scattered unequally across team members. To do well in this task, pieces of information shared by the minority and the majority of players should be integrated. Simple majority-based decisions are not enough to perform well as information held by minority players is also valuable. We used a variational auto-encoder to train a bot to learn people's information distribution by observing how people's judgements correlated over time. After training, a bot was designed to increase team performance by selectively supporting opinions proportionally to their under-representation in the team. We show that the presence of a single bot (representing 10\% of team members) can significantly increase the polarization between minority and majority opinions by making minority opinions less prone to social influence. Although the effects on hybrid team performance were negligible, the bot presence significantly influenced team opinion dynamics. These findings show that unsupervised learning can be used to program bots that can improve team performance.


2021 ◽  
Author(s):  
Marta Guinau ◽  
Gloria Furdada

<p>The pandemic situation we are experiencing has forced us to transform face-to-face teaching into virtual teaching. Digital platforms hinder the interaction, discussion and feedback that naturally occur in a face-to-face class, but at the same time, they provide an opportunity to put the focus on the student’s learning rather than on content delivering. Learning include both, inductive and deductive processes; induction can be effectively acquired by using case studies; then, deduction can be achieved through comparison, analysis, generalisation and synthesis.  Digital platforms appear as an optimal resource to facilitate the individual and collaborative tasks and learning processes. In this work we present our experience on the landslide hazard subject (Master’s level) focussed on the student’s learning through the use of digital media.</p><p>Internet information of undeniable quality that can be easily accessed is basic: The Landslide Blog by Dave Petley (https://blogs.agu.org/landslideblog/) in Blogosphere hosted by AGU (American Geophysical Union) provides valuable and updated information on landslide events occurring worldwide. The learning activities are structured around several cases selected by the lecturer from the blog to ensure the analysis of the most frequent landslide types. All activities are developed in 8 steps: 1) The teacher presents the learning action (objective, tasks, and assessment guide) using a Genially platform interactive image; 2) Each student selects one of the proposed cases and compile relevant information about it; 3) Each student analyses the landslide characteristics, identifies the landslide type  and classifies it according to Hungr et al., 2014 (available through the educational virtual platform), and recognises the control and triggering factors (one virtual session is programmed and a forum tool is provided to the students to discuss and to solve doubts); 4) Each student selects and organizes the significant information about each case by building an interactive image in Genially; 5) Each student presents each case using his/her interactive image in a virtual session, which is recorded and uploaded to the educational platform; 6) Students peer evaluate the content and design of the interactive images and oral presentations based on the provided assessment guide; 7) During a predetermined time, students collaboratively compile all the information in a Google sheet table to synthesize the geomorphological characteristics, materials involved, mobilization mechanisms and control and triggering factors of the different types of landslides; 8) the synthetic table is discussed and  completed during a virtual session.</p><p>All the knowledge and skills acquired by students with these activities are put into practice in a two-day field trip where students have to identify, characterize and classify different types of landslides as well as their control and triggering factors. The risk situation and the mitigation strategies are discussed in each case and compared to the ones studied through virtual learning. Furthermore, students get used and learn how to clearly present information through virtual tools, as Genially, useful for dissemination purposes.</p><p>Hungr et al. 2014. The Varnes classification of landslide types, an update. Landslides 11(2). DOI: 10.1007/s10346-013-0436-y</p>


Author(s):  
James Kim

The purpose of this study was to examine factors that influence how people look at objects they will have to act upon while watching others interact with them first. We investigated whether including different types of task-relevant information into an observational learning task would result in participants adapting their gaze towards an object with more task-relevant information. The participant watched an actor simultaneously lift and replace two objects with two hands then was cued to lift one of the two objects. The objects had the potential to change weight between each trial. In our cue condition, participants were cued to lift one of the objects every single time. In our object condition, the participants were cued equally to act on both objects; however, the weights of only one of the objects would have the potential to change. The hypothesis in the cue condition was that the participant would look significantly more at the object being cued. The hypothesis for the object condition was that the participant would look significantly more (i.e. adapt their gaze) at the object changing weight. The rationale behind this is that participants will learn to allocate their gaze significantly more towards that object so they can gain information about its properties (i.e. weight change). Pending results will indicate whether or not this occurred, and has implications for understanding eye movement sequences in visually guided behaviour tasks. The outcome of this study also has implications for the mechanisms of eye gaze with respect to social learning tasks. 


2020 ◽  
Author(s):  
Charlotte Ashton ◽  
André Gouws ◽  
Marcus Glennon ◽  
THEODORE ZANTO ◽  
Steve Tipper ◽  
...  

Abstract Our ability to hold information in mind for a short time (working memory) is separately predicted by our ability to ignore two types of distraction: distraction that occurs while we put information into working memory (encoding) and distraction that occurs while we maintain already encoded information within working memory. This suggests that ignoring these different types of distraction involves distinct mechanisms which separately limit performance. Here we used fMRI to measure category-sensitive cortical activity and probe these mechanisms. The results reveal specific neural mechanisms by which relevant information is remembered and irrelevant information is ignored, which contribute to intra-individual differences in WM performance.


2017 ◽  
Vol 13 (3) ◽  
pp. 1-21
Author(s):  
Ozren Rafajac ◽  
Alen Jakupović

An integral communication tool is producing a coherent message while attempting to achieve synergy among different types of communicators. By encouraging a purposeful dialogue and automatic exchange of relevant information, these kinds of tools can improve our mutual understanding, cooperation, collaboration and competitiveness. The main problem in collaboration is finding compatible partners, friends and people (with similar interests) with whom we can build long-term relationships in different fields of life, such as family relations, education and leisure. The same applies to all economic activities. The authors find a solution to this problem in the development of an integral communication tool that has the three main objectives: self-improvement, relationship improvement and qualitative improvement of collaboration. By analyzing the requirements of potential users, the authors have developed a conceptual model of an integral communication tool that explains its basic functions, subsystems and information connections.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Leilei Kong ◽  
Zhongyuan Han ◽  
Yong Han ◽  
Haoliang Qi

Paraphrase identification is central to many natural language applications. Based on the insight that a successful paraphrase identification model needs to adequately capture the semantics of the language objects as well as their interactions, we present a deep paraphrase identification model interacting semantics with syntax (DPIM-ISS) for paraphrase identification. DPIM-ISS introduces the linguistic features manifested in syntactic features to produce more explicit structures and encodes the semantic representation of sentence on different syntactic structures by means of interacting semantics with syntax. Then, DPIM-ISS learns the paraphrase pattern from this representation interacting the semantics with syntax by exploiting a convolutional neural network with convolution-pooling structure. Experiments are conducted on the corpus of Microsoft Research Paraphrase (MSRP), PAN 2010 corpus, and PAN 2012 corpus for paraphrase plagiarism detection. The experimental results demonstrate that DPIM-ISS outperforms the classical word-matching approaches, the syntax-similarity approaches, the convolution neural network-based models, and some deep paraphrase identification models.


1993 ◽  
Vol 7 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Ernst Z. Rothkopf ◽  
Mary E. Koether ◽  
Marjorie J. Billington

The surface organization of performance aids such as maps or diagrams can affect decisions even when the relevant information has been mastered and decisions are made from memory. We tested this conjecture by providing three different types of maps as performance aids for routing decisions. The maps were realistic, straightened, or diagrammatic. Through extensive practice, very accurate performance was achieved even when the performance aid was no longer available. After 200 decisions made from memory, decision time was nearly stable (asymptotic), but diagrammatic map subjects were still about 500 msecs faster than those who used more realistic maps. The observed aftereffects of the structure of performance aids are congruent with the usual conceptions of mental models in that they reflect productive memorial structures. Our findings suggest that inappropriately organized informative materials may exact a toll even after their content is mastered.


2016 ◽  
Vol 3 (1) ◽  
pp. 132-159
Author(s):  
Barry Chung-Yu Yang

The ka-construction in Taiwan Southern Min is well-known for its polysemy. This study argues that with evidence from extra-argumentality, ka-NP position, thematic relationship, passivization, over-generalization, and dialectal difference, ka should at least be categorized into three different types, i.e., light verb, applicative, and preposition, instead of a uniform one. The first type involves the disposal patient/theme and the goal/source constructions where ka is a light verb taking a reduced VP complement. The second one applies to the benefactive/adversative construction where ka is a high applicative head mediating the relation between the ka-NP and a VoiceP. The third one accounts for the non-gapped dative construction where ka is a preposition heading a PP that modifies a VP. By so doing, the polysemy is simply an interplay between different types of ka and their corresponding syntactic structures.


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