189 research outputs found
A interação texto/imagem em duas traduções de Flicts para o inglês
Full text linkDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Estudos da Tradução, Florianópolis, 2013.Abstract : This study aims to investigate two translations of FLICTS, first children's book written by Ziraldo and first full-colored album for children produced in Brazil, with a view to discussing the different interactions between text and image that might occur within the translation of children's literature. Considered a landmark in Brazilian Children's Literature since its launch in 1969, its British version was translated by Silvia Caruana and published by the publishing house Roger Schlesinger in 1973 and its American English version was translated by Daniela Pinto, originally published by Melbooks in 1984 - subsequently also published by Editora Melhoramentos and commercialized in Brazil. The theoretical framework informing the study is based on the interface of Descriptive Translation Studies, Translation of Children's Literature and the Grammar of Visual Design. By the analyses of a multimodal corpus and a dossier about the history of this printed book, it was possible to note that the several changes along FLICTS publishing history have made up other possible readings on this work
Novice teachers: the challenges, supports, and effective strategies
Full text linkThis study used survey research to investigate the challenges novice teachers experience, the support they receive, and the leadership strategies that are implemented to support them. The research was conducted in Manitoba, Canada. Quantitative methods and convenience sampling were used to explore the research questions that guided this study: What challenges do beginning teachers perceive they encounter in their first years of teaching practice? What supports do new teachers report they receive? What strategies do novice teachers perceive are the most effective in supporting them? What challenges do school principals perceive novice teachers face? What strategies do principals use to support novice teachers? A total of 41 novice teachers and 31 school principals in Manitoba, participated in this study. The majority of the novice teacher participants were female and the majority of principal respondents were male – statistics which reflect the gender demographics of teachers and principals in Canada. The areas that novice teacher participants found most challenging were differentiating instruction, planning and preparation, accessing teaching resources, working with students with Individual Education Plans (IEPs), and assessing student learning. With regard to gender, male novice teachers found differentiating instruction and organizing the classroom significantly more challenging than did their female colleagues. Beginning teachers in rural/small town areas perceived isolation and teaching multi-age classrooms to be a greater challenge than their colleagues who taught in urban/suburban schools. With regard to teaching experience, teachers with less than two years in the classroom perceived isolation to be a significantly greater challenge than colleagues with 2-3 years teaching experience. When considering school size, teachers in smaller schools with less than 200 students considered isolation to be a greater challenge than their colleagues in larger schools; however, teachers in larger schools found planning and preparation and developing collegial relations a greater challenge than those in small schools. With regard to the areas in which novice teachers reported they received most support, the areas most supported corresponded with the areas they felt to be the greatest challenges, with the exception of differentiated instruction, which was their greatest challenge, yet was not well supported. Overall, female novice teachers perceived higher levels of support than their male colleagues. Teachers in rural/small town areas felt more supported than colleagues in urban/suburban locations. Novice teachers valued support programs such as mentoring, induction, and professional development but indicated that not all these programs were available to them. Principals identified similar challenges for novice teachers as did the teacher respondents, with the exception of planning and preparation, an area that challenged beginning teachers but was perceived as less of a challenge by their principals. Principals reported greater availability of mentoring programs than did novice teachers. The recommendations for the study included specific areas for professional development and greater provision of research-based mentoring and induction programs.Includes bibliographical references (pages 110-121)."In partial fulfillment of the requirements for the degree of Master of Education.
Causalidad y acción
No full textA veces se argumenta que la acción tiene primacía sobre la causalidad. Esto se puede entender de dos maneras: que la causalidad es una proyección de la acción al ámbito natural o que la causalidad presupone un agente que actúa. Defiendo que la primera tesis es falsa y que la segun da sólo liene sentido desde una teoría realista de las causas
Geometria especulatiua, y pratica de los planos, y solidos / author el M.R.P. Ioseph Zaragoça...
No full textLas h. de grab. son calc.Anot. ms.: "Corregida segun los cuadernos del autor"Enc. Perg.Sign.: ¶4, A-Y
Federated Deep Learning for Collaborative Intrusion Detection in Heterogeneous Networks
Full text linkIn this paper, we propose Federated Deep Learning (FDL) for intrusion detection in heterogeneous networks. Local Deep Neural Network (DNN) models are used to learn the hierarchical representations of the private network traffic data in multiple edge nodes. A dedicated central server receives the parameters of the local DNN models from the edge nodes, and it aggregates them to produce an FDL model using the Fed+ fusion algorithm. Simulation results show that the FDL model achieved an accuracy of 99.27 ± 0.79%, a precision of 97.03 ± 4.22%, a recall of 98.06 ± 1.72%, an F1 score of 97.50 ± 2.55%, and a False Positive Rate (FPR) of 2.40 ± 2.47%. The classification performance and the generalisation ability of the FDL model are better than those of the local DNN models. The Fed+ algorithm outperformed two state-of-the-art fusion algorithms, namely federated averaging (FedAvg) and Coordinate Median (CM). Therefore, the DNN-Fed+ model is preferable for intrusion detection in heterogeneous wireless networks
WORKING CAPITAL MANAGEMENT IN TELECOMMUNICATION SECTOR
No full textABSTRACT Title: Working Capital Management in Telecommunication sector: A case study of VGC telecoms Author: Gbenga Segun Akinwande Supervisor: Anders Hederstierna Department: School of Management, Blekinge Institute of Technology Course: Master’s thesis in business administration, 15 credits (ECTS). Background and Problem Discussion: The efficient management of working capital is very vital for a business survival. This is premised on the fact having too much working capital signifies inefficiency, whereas too little cash at hand signifies that the survival of business is shaky. Purpose: The purpose of this research is to study the working capital management in the small and medium scale businesses, using VGC Telecoms Company as a case study, so as to establish factors influencing working capital performance; examine how cash management, inventory management and trade credit management affects working capital management; company effectiveness in converting working capital to ready money; how working capital management impacts on the problem of slow development and to offer recommendations on possible ways of improving working capital management Method: Literatures bordering on different areas of working capital management were reviewed. Thus, this research employed qualitative and quantitative analysis; and semi- structured questions were drafted based on the issues raised from the review of various literatures. In addition, materials from journal articles, textbooks, working papers and industry practitioners are put into consideration. The use of internet and e-mails to send out questions were explored where appropriate. Analysis on the company’s financial statement was carried out in order to verify my findings. Theory: In this research, the theory section looks at various concepts that come up when analyzing the consequences of working capital management for company value and the factors that influence a company’s working capital management performance. I have therefore chosen the most common concept for the theory section. I have also tried to create a theoretical understanding for the company’s sensitivity to a workable WCM policy Analysis: In the analysis of the research findings, I employed qualitative approach to the data analysis whereby the impacts of the poor WCM on the company were discussed in depth. Conclusion: The findings corroborate the postulation of Weston et al that a company’s investment in working capital is a substantial percentage of its total investment. In case of VGC Telecoms, it is as high as 65 percent. An inefficient and ineffective management of this investment will result in slow pace of development and ultimately to the business failure. The performances of the company in the different spheres of working capital management were scored as follows:- • Cash management – 65.4 percent • Inventory management - 78.6 percent • Trade credit management and financing decisions - 60.0 percent This is an average performance of 68 percent. That is, the company’s performance is above average. This is a good performance. The financial statements as interpreted reinforce the validity of this result. The liquidity ratios are high; the collection period is short; and the cash cycle is not quite expansive. This makes it possible to sustain sufficient cash flow for the smooth running of the business. The management of working capital impacts on liquidity, investment portfolio and profitability. All these three factors are decisive in the growth or failure of a business. Hence, good performances in working capital management affects these decisive factors favourably and thus, contribute to growth and success of the business
Hybrid Deep Learning for Botnet Attack Detection in the Internet of Things Networks
Full text linkDeep Learning (DL) is an efficient method for botnet attack detection. However, the volume of network traffic data and memory space required is usually large. It is, therefore, almost impossible to implement the DL method in memory-constrained IoT devices. In this paper, we reduce the feature dimensionality of large-scale IoT network traffic data using the encoding phase of Long Short-Term Memory Autoencoder (LAE). In order to classify network traffic samples correctly, we analyse the long-term inter-related changes in the low-dimensional feature set produced by LAE using deep Bidirectional Long Short-Term Memory (BLSTM). Extensive experiments are performed with the BoT-IoT dataset to validate the effectiveness of the proposed hybrid DL method. Results show that LAE significantly reduced the memory space required for large-scale network traffic data storage by 91.89%, and it outperformed state-of-the-art feature dimensionality reduction methods by 18.92-27.03%. Despite the significant reduction in feature size, the deep BLSTM model demonstrates robustness against model under-fitting and over-fitting. It also achieves good generalisation ability in binary and multi-class classification scenarios
Novel biosynthesized silver nanoparticles from cobweb as adsorbent for Rhodamine B: equilibrium isotherm, kinetic and thermodynamic studies
No full textAbstract This study has investigated the adsorption of Rhodamine B (Rh-B) dye on novel biosynthesized silver nanoparticles (AgNPs) from cobweb. The effects of contact time, initial pH, initial dye concentration, adsorbent dosage and temperature were studied on the removal of Rh-B and they significantly affected its uptake. Adsorption isotherms were evaluated using Langmuir, Freundlich, Temkin and Dubinin–Radushkevich isotherm models. The adsorption process was best described by Langmuir isotherm with R 2 of 0.9901, indicating monolayer adsorption. The maximum adsorption capacity (q max) of 59.85 mg/g showed that it has relatively high performance, while adsorption intensity showed a favourable adsorption process. Pseudo-second-order kinetics fitted best the rate of adsorption and intra-particle diffusion revealed both surface adsorption and intra-particle diffusion-controlled adsorption process. Negative values of thermodynamic parameters (∆H°, ∆S° and ∆G°) indicated an exothermic and spontaneous adsorption process. The mean sorption energy (E) and activation energy (E a) suggested the uptake of Rh-B onto AgNPs was chemical in nature (chemosorption)
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