7 research outputs found

    Publishing Behind-The-Scenes: An Author and Her Literary Agent Talk Publishing

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    Mayonn Paasewe-Valchev is the author of a charming fantasy novel for middle grade readers and her literary agent is Sara Megibow of KT Literary. In a fiercely competitive industry, how did these two connect with HarperCollins for such a wildly successful book launch? Go behind the scenes in publishing to learn about what a literary agent does, what the author had to do to sign with that agent and how the manuscript went from laptop to bookshelf

    Development of Communicative Skills of Children with Alalia in the Condition of Multisensory Education

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    Speech is a main function, which has a defining meaning for the whole psychological development of the child as a personality. It is subordinate to the objective laws of language and runs through certain stages. At the same time without special and purposeful special-pedagogical intervention speech activity of children at preschool age with alalia isn’t realized spontaneously, preverbal forms of communication aren’t formed, either. One of the conditions is multisensory approach, which suggests using the whole structure of polimodal perception of the child – with the participation of the subdominant channels. In the article the main point of sensory integration is considered. The main focus is on the development of aural impressions, visual perception, tactile-kinesthetic emotions and sense perception, their role in the speech development of children with alalia. Multisensory approach contributes to the development and improvement of the communicative abilities of children with alalia

    TYPOLOGY OF DYSGRAPHIA ERRORS IN PERFORMING THE WRITING TASK 'PRODUCING YOUR OWN TEXT' BY BILINGUAL PRIMARY-SCHOOL STUDENTS

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    The article presents the results of a field logopedic study of third- and fourth-grade bilingual students and the research material created by them while carrying out a writing task of producing a text of their own. The aim of the experiment is to analyze the quantitative and qualitative parameters of the dysgraphia errors in bilingual students (ethnic Roma and Turks) at the text level and on this basis to identify their typology and dependence on some linguistic and social factors. For the purposes of the research, a toolkit has been developed that includes groups of methods for the study of the following: the psychosomatic and the academic status, the elementary graphic habits; the phonemic gnosis; writing in different situations; identification and typologization of typographical errors through a criterion system. The results clearly show that the prevailing errors made by the bilinguals are analytic-synthetic. Regarding the other types of errors, significant differences have not been registered. The analysis of the results showed significant differences in terms of gender, ethnicity/language status and type of settlement

    SPECIFIC FEATURES OF INTERPERSONAL COMMUNICATION IN DEAF CHILDREN

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    Under certain conditions, associated with the presence of early and significant hearing loss, there are some peculiarities observed in children's interpersonal communication. Their knowledge can serve as a guide for overcoming difficulties and maximizing successful communication. The present study is dedicated to identifying the peculiarities of communicative behavior and the type of interpersonal relationships between children with hearing impairments integrated into mainstream schools. The experiment involved 40 children, divided into two groups:  control group (hearing children) and experimental group (deaf children). The Diagnostic toolkit contains 3 methodologies: the Raven progressive matrices for determining the level of nonverbal intelligence; a test for evaluation of communicative and initiating abilities, the T. Leary's psycho-diagnostic methodology for establishing interpersonal relationships in the subjects studied. The results of the first test revealed that the intellectual profile of 7-9-year-old students was significantly different from that of their hearing peers. The second test also found differences between the hearing and the deaf, but these were not statistically significant. The Leary test clearly showed that in the process of interpersonal communication, deaf children tend to be authoritarian, selfish, aggressive and suspicious of relationships. At the same time, their hearing peers seek to form an altruistic type of personal relationships

    Artificial Intelligence-based short-term forecasting of vessel performance parameters

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    Deterministic models based on the laws of physics, as well as data-driven models, are often used to assess the current state of vessels and their systems, as well as predict their future behaviour. Predictive maintenance methodologies (i.e., Condition Based Maintenance) and advanced control strategies (i.e., Model Predictive Control) are built upon the use of such numerical tools to identify ensuing performance shifts. In fact, forecasting near-future performance can substantially contribute to enhancing operational efficiency and enabling advanced system control. Data from modern sensor technology, which has become more readily available, combined with automatic control systems capable of prescribing optimal control strategies, can improve vessel operation and reduce energy consumption. A data-driven model that relies on recent advances in Artificial Intelligence, Machine Learning, and Data Mining, leveraging historical observations is employed to forecast a vessel’s onboard power generation trends as a function of the past, present, and future behaviour of a ship and its systems. To prove the framework, the proposed methodology is tested on real data collected from the Integrated Platform Management System of an Oceangoing Patrol Vessel of the Royal Netherlands Navy. The developed data-driven model is achieves high forecasting accuracy in the near-term. The authors foresee that the proposed methodology could be used as part of an electric energy control strategy, within a more integrated and intelligent mission planning framework.Ship Design, Production and Operation

    Numerical methods for monitoring and evaluating the biofouling state and effects on vessels’ hull and propeller performance: A review

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    Monitoring and evaluating the biofouling state and its effects on the vessel's hull and propeller performance is a crucial problem that attracts the attention of both academy and industry. Effective and reliable tools to address this would allow a timely cleaning procedure able to trade off costs, efficiency, and environmental impacts. In this paper, the authors carry out a critical review, accompanied with summary tables, of the biofouling problem with a particular focus on the shipping industry and the state-of-the-art techniques for monitoring and evaluating the biofouling state and its effects on the vessel's hull and propeller performance. In particular, different techniques are grouped according to the three main families of numerical models that have been designed and exploited in the literature: Physical Models (i.e., models relying on the mechanistic knowledge of the phenomena), Data-Driven Models (i.e., models relying on historical data about the phenomena together with Artificial Intelligence), and Hybrid Models (i.e., a hybridisation between Physical and Data-Driven Models). A conclusion from the performed review, open problems, and future direction of this field of research is detailed at the end of the review.Ship Design, Production and Operation
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