915 resultados para Literary constraint
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Doutoramento em Economia.
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Projeto de Graduação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Licenciada em Fisioterapia
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Literature is not generally considered as a coherent branch of the curriculum in relation to language development in either native or foreign language teaching. As teachers of English in multicultural Indian classrooms, we come across students with varying degrees of competence in English language learning. Although language learning is a natural process for natives, students of other languages put in colossal efforts to learn it. Despite their sincere efforts, they face challenges regarding pronunciation, spelling, and vocabulary. Indian classrooms are a microcosm of the larger society, so teaching English language in a manner that equips the students to face the cutthroat competition has become a necessity and a challenge for English language teachers. English today has become the key determinant for being successful in their careers. The hackneyed and stereotypical methods of teaching are not acceptable now. Teachers are no longer arbitrary dispensers of knowledge, but they are playing the role of a guide and facilitator for the students. Teachers of English are using innovative ideas to make English language teaching and learning interesting and simple. Teachers have started using literary texts and their analyses to explore and ignite the imagination and creative skills of the students. One needs to think and rethink the contribution of literature to intelligent thinking as well as its role in the process of teaching/learning. This article is, therefore, an attempt at exploring the nature of the literary experience in the present-day classrooms and the broader role of literature in life.
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Declarative techniques such as Constraint Programming can be very effective in modeling and assisting management decisions. We present a method for managing university classrooms which extends the previous design of a Constraint-Informed Information System to generate the timetables while dealing with spatial resource optimization issues. We seek to maximize space utilization along two dimensions: classroom use and occupancy rates. While we want to maximize the room use rate, we still need to satisfy the soft constraints which model students’ and lecturers’ preferences. We present a constraint logic programming-based local search method which relies on an evaluation function that combines room utilization and timetable soft preferences. Based on this, we developed a tool which we applied to the improvement of classroom allocation in a University. Comparing the results to the current timetables obtained without optimizing space utilization, the initial versions of our tool manages to reach a 30% improvement in space utilization, while preserving the quality of the timetable, both for students and lecturers.
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This paper will focus on the issue of training future literary reading mediators or promoters. It will propose a practical exercise on playing with intertextuality with the aid of two children literature classics and masterpieces—The Adventures of Alice in Wonderland by Lewis Carroll (1865) and The Very Hungry Caterpillar by Eric Carle (1969). This exercise is not designed to be a pedagogical or didactic tool used with children (that could alternatively be done with the same corpora), but it is designed to focus on issues of literary studies and contemporary culture. The aim of this practical exercise with future reading promoters is to enable graduate students or trainees to be able to recognize that literary reading can be a team game. However, before arriving at the agan stage, where the rules get simplified and attainable by young readers, hard and solitary work of the mediator is required. The rules of this solitary game of preparing the reading of classical texts are not always evident. On the other hand, the reason why literary reading could be (and perhaps should be) defined as a new team game in our contemporary and globalized world derives directly from the fact that we now live in a world where mass culture is definitely installed. We should be pragmatic on evaluating the conditions of communication between people (not only young adults or children) and we should look the way people read the signs on everyday life and consequently behave in contemporary society, and then apply the same rules or procedures to introduce old players such as the classical books in the game. We are talking about adult mediators and native digital readers. In the contemporary democratic social context, cultural producers and consumers are two very important elements (as the book itself) of the literary polissystem. So, teaching literature is more than ever to be aware that the literary reader meaning of a text does not reside only in the text and in its solitary relationship with the quiet and comfortably installed reader. Meaning is produced by the reader in relation both to the text in question and to the complex network of texts invoked in the reading process and plural connections provided by the world of a new media environment.
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Solving a complex Constraint Satisfaction Problem (CSP) is a computationally hard task which may require a considerable amount of time. Parallelism has been applied successfully to the job and there are already many applications capable of harnessing the parallel power of modern CPUs to speed up the solving process. Current Graphics Processing Units (GPUs), containing from a few hundred to a few thousand cores, possess a level of parallelism that surpasses that of CPUs and there are much less applications capable of solving CSPs on GPUs, leaving space for further improvement. This paper describes work in progress in the solving of CSPs on GPUs, CPUs and other devices, such as Intel Many Integrated Cores (MICs), in parallel. It presents the gains obtained when applying more devices to solve some problems and the main challenges that must be faced when using devices with as different architectures as CPUs and GPUs, with a greater focus on how to effectively achieve good load balancing between such heterogeneous devices.
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A High-Performance Computing job dispatcher is a critical software that assigns the finite computing resources to submitted jobs. This resource assignment over time is known as the on-line job dispatching problem in HPC systems. The fact the problem is on-line means that solutions must be computed in real-time, and their required time cannot exceed some threshold to do not affect the normal system functioning. In addition, a job dispatcher must deal with a lot of uncertainty: submission times, the number of requested resources, and duration of jobs. Heuristic-based techniques have been broadly used in HPC systems, at the cost of achieving (sub-)optimal solutions in a short time. However, the scheduling and resource allocation components are separated, thus generates a decoupled decision that may cause a performance loss. Optimization-based techniques are less used for this problem, although they can significantly improve the performance of HPC systems at the expense of higher computation time. Nowadays, HPC systems are being used for modern applications, such as big data analytics and predictive model building, that employ, in general, many short jobs. However, this information is unknown at dispatching time, and job dispatchers need to process large numbers of them quickly while ensuring high Quality-of-Service (QoS) levels. Constraint Programming (CP) has been shown to be an effective approach to tackle job dispatching problems. However, state-of-the-art CP-based job dispatchers are unable to satisfy the challenges of on-line dispatching, such as generate dispatching decisions in a brief period and integrate current and past information of the housing system. Given the previous reasons, we propose CP-based dispatchers that are more suitable for HPC systems running modern applications, generating on-line dispatching decisions in a proper time and are able to make effective use of job duration predictions to improve QoS levels, especially for workloads dominated by short jobs.
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This thesis analyzes four works of fiction that portray a pedophilic relationship in order to establish whether we can identify what might be called a genre of pedophilia in literature. In the last decade, books about the topic have been published with great success, so it would seem that there is a need to classify and define the genre of pedophilia. To answer the question I started with the novel Lolita (1955), by Vladimir Nabokov, which is the most famous work of literary fiction on the topic of pedophilia. In my analysis of this text, I tried to show how this novel has laid the ground plan, as it were, for the genre. I then analyzed three contemporary novels: All the Ugly and Wonderful Things (2016) by Bryn Greenwood, My Absolute Darling (2017) by Gabriel Tallent and My Dark Vanessa (2020) by Kate Elizabeth Russell, and compared them with Lolita to find the essential elements that constitute the genre of pedophilia. The analysis showed that there were many elements, mostly themes, which the contemporary novels had in common with Lolita, which helped classify the genre of pedophilia as both transgressive and romantic fiction. But while the three contemporary novels share many aspects with Lolita, they also bring into play themes such as female desire, and a resistance to seeing the female as only victim, with little agency. While the most important aspect is that the work of fiction must show the evolution, from the beginning to the end, of a sentimental relationship and sexual acts between an adult and a child, the contemporary novels of this genre take this basic trait – particularly All the Ugly and Wonderful Things -- in surprisingly transgressive directions of their own.
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Background Recentemente la letteratura scientifica ha dimostrato come un corretto controllo posturale faciliti i movimenti dell’arto superiore. Ci sono evidenze secondo cui, applicando al paziente dei contenimenti sul tronco, si ha un miglioramento della funzionalità dell’arto superiore. Obiettivi L’obiettivo principale della tesi era quello di verificare come il sostegno del tronco con l’utilizzo di una stabile struttura assiale, attraverso un supporto esterno definito “trunk constraint”, incrementi il controllo posturale, per facilitare i movimenti frazionati degli arti superiori in persone con esiti di patologie neurologiche. Materiali e metodi Il caso clinico riguarda un uomo di 60 anni con esiti di emiparesi sinistra da ictus ischemico destro. E’ stato eseguito un protocollo di dieci sessioni di trattamento, di un’ora ciascuna, in cui veniva applicata la facilitazione attraverso trunk constraint in diversi setting riabilitativi. I dati sono stati raccolti tramite le scale: Trunk Control Test, Trunk Impairment Scale e Fugl-Meyer Assessment. Inoltre, è stata eseguita l’analisi osservazionale, attraverso videoripresa, di un gesto funzionale dell’arto superiore. Risultati I dati rilevati dimostrano degli effetti positivi rispetto alle ipotesi di partenza. Infatti sono stati riscontrati miglioramenti negli item delle scale somministrate e nella valutazione qualitativa dell’arto superiore. In particolare, si è evidenziato un miglioramento nel controllo del tronco nella scala Trunk Control Test e nella Trunk Impairment Scale e della funzione dell’arto superiore alla scala Fugl-Meyer Assessment. L’analisi osservazionale dei video dimostra un miglioramento del timing di attivazione durante la fase di reaching. Conclusioni I risultati ottenuti supportano il fatto che un incremento dell’attività antigravitaria del tronco, anche attraverso supporti esterni come la trunk constraint, possono facilitare un miglioramento funzionale dell’arto superiore.
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Combinatorial decision and optimization problems belong to numerous applications, such as logistics and scheduling, and can be solved with various approaches. Boolean Satisfiability and Constraint Programming solvers are some of the most used ones and their performance is significantly influenced by the model chosen to represent a given problem. This has led to the study of model reformulation methods, one of which is tabulation, that consists in rewriting the expression of a constraint in terms of a table constraint. To apply it, one should identify which constraints can help and which can hinder the solving process. So far this has been performed by hand, for example in MiniZinc, or automatically with manually designed heuristics, in Savile Row. Though, it has been shown that the performances of these heuristics differ across problems and solvers, in some cases helping and in others hindering the solving procedure. However, recent works in the field of combinatorial optimization have shown that Machine Learning (ML) can be increasingly useful in the model reformulation steps. This thesis aims to design a ML approach to identify the instances for which Savile Row’s heuristics should be activated. Additionally, it is possible that the heuristics miss some good tabulation opportunities, so we perform an exploratory analysis for the creation of a ML classifier able to predict whether or not a constraint should be tabulated. The results reached towards the first goal show that a random forest classifier leads to an increase in the performances of 4 different solvers. The experimental results in the second task show that a ML approach could improve the performance of a solver for some problem classes.
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The aim of this paper is to discuss some rhythmic differences between European and Brazilian Portuguese and their relationship to pretonic vowel reduction phenomena. After the basic facts of PE and PB are presented, we show that the issue cannot be discussed without taking into account secondary stress placement, and we proceed to present the algorithm-based approach to secondary stress in Portuguese, representative of Metrical Phonology analyses. After showing that this deterministic approach cannot adequately explain the variable position of secondary stress in both languages regarding words with an even number of pretonic syllables, we argue for the interpretation of secondary stress and therefore for the construction of rhythmic units at the PF interface, as suggested in Chomsky s Minimalist Program. We also propose, inspired by the constrain hierarchies as proposed in Optimality Theory, that such interpretation must take into account two different constraint rankings, in EP and BP. These different rankings would ultimately explain the rhythmic differences between both languages, as well as the different behavior of pretonic vowels with respect to reduction processes.
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Machado de Assis (1839-1908) is considered the most important Brazilian writer and a great universal literary figure. Little is know about his medical, personal and family history. He hid his «disease» as much as possible. Machado referred to «strange things» having happened to him in his childhood. He described seizures as «nervous phenomena», «absenses», «my illness». Laet observed a seizure and described it as: «... when Machado approached us and spoke to me in disconnected words. I looked at him in surprise and found his features altered. Knowing that from time to time he had nervous problems,... and only permitted Machado take the Laranjeiras Street car, when I saw that he was completely well». A photographically documented seizure is shown. Alencar wrote, «The preoccupation with health was frequent: either he was having the consequences of a fit or was foreboding one». It is clear that Machado presented localized symptomatic epilepsy with complex partial seizures secondarily generalized of unknown etiology. The seizures which began in infancy or childhood had remission in adolescence and then recurred in his thirties and became more frequent in his later years. His depression got markedly worse with age. In our opinion, the greatest consequence of Machado's epilepsy, was his psychological suffering due to the prejudice of the times. Despite this Machado showed all his genius, which is still actual and universal.
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Universidade Estadual de Campinas . Faculdade de Educação Física