Literary Love Making in Nicholas Sparks Novels: Finding the Balance Between the Writer's Life and Writer's Work in Bestselling Romantic Love

For almost a decade now Nicholas Sparks has been writing love stories. Not only has he been publishing his stories, but they have received high acclaim in each of their installments. Several of his novels have been made into major motion pictures and increased his popularity quite significantly. His status as a successful romantic fiction writer is undeniable, but the question is, why? What is it about Nicholas Sparks that makes his novels so engaging, and personally, what do I need to do as an aspiring novelist to try and acquire the same literary status? Sparks’s novels reach readers at a number of different levels, thus giving them appeal no matter the intellectual intent of the reader. Theoretically, Sparks engages reader response techniques as well as formalist processes such as “habitualization” and “defamiliarization,” while also developing engaging plot lines that represent many of the experiences from his own life. His writing is not only academically redeemable, but it is also creatively stimulating; between the two, Sparks represents the thunder and lightning combination all writers strive for while trying to achieve literary success. This project also offers a creative element in which I attempt to exemplify many of the traits discussed in the analytical sections of this document, by recreating them in a creative, fictitious fashion. Themes such as: motion versus stasis, life versus death, and the ordinary versus the extraordinary all exist within the narrative structure of my short story “Trip to Fall.” Besides these thematic elements, the creative section strives to represent the balance Sparks achieves between the experiences of his own life and the fictitious world he creates. Overall, this project delves into the life of Nicholas Sparks to better understand the inspiration for his writing at the level of form as well as content, while also paying tribute to Sparks’s style through a representation of his work in my own words.

Literary love making in Nicholas Sparks novels: Finding the balance between the writer’s life and the writer’s work in bestselling Romantic Literature

For almost a decade now Nicholas Sparks has been writing love stories. Not only has he been publishing his stories, but they have received high acclaim in each of their installments. Several of his novels have been made into major motion pictures and increased his popularity quite significantly. His status as a successful romantic fiction writer is undeniable, but the question is, why? What is it about Nicholas Sparks that makes his novels so engaging, and personally, what do I need to do as an aspiring novelist to try and acquire the same literary status? Sparks’s novels reach readers at a number of different levels, thus giving them appeal no matter the intellectual intent of the reader. Theoretically, Sparks engages reader response techniques as well as formalist processes such as “habitualization” and “defamiliarization,” while also developing engaging plot lines that represent many of the experiences from his own life. His writing is not only academically redeemable, but it is also creatively stimulating; between the two, Sparks represents the thunder and lightning combination all writers strive for while trying to achieve literary success. This project also offers a creative element in which I attempt to exemplify many of the traits discussed in the analytical sections of this document, by recreating them in a creative, fictitious fashion. Themes such as: motion versus stasis, life versus death, and the ordinary versus the extraordinary all exist within the narrative structure of my short story “Trip to Fall.” Besides these thematic elements, the creative section strives to represent the balance Sparks achieves between the experiences of his own life and the fictitious world he creates. Overall, this project delves into the life of Nicholas Sparks to better understand the inspiration for his writing at the level of form as well as content, while also paying tribute to Sparks’s style through a representation of his work in my own words.

Virtual non-profit organisations: literary virtual communities in Russia

This paper is a study of one of the “unknown” segments of the Internet - non-profit ventures in the Russian language.Based on the understanding of the concept of virtual community we consider the family of free publishing literary websites. We discuss their experience to demonstrate their contribution not only to the national culture, but also to the creation of open and democratic society in the former communist world, and to new forms of literary life. Some of the innovative concepts, principles and practices, adopted on those sites may be of interest to the Internet developers and
communities worldwide.

The application of rough set and Kohonen network to feature selection for object extraction

Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, images understanding and machine learning. The paper describes an application of rough sets method to feature selection and reduction in texture images recognition. The proposed methods include continuous data discretization based on Kohonen neural network and maximum covariance, and rough set algorithms for feature selection and reduction. The experiments on trees extraction from aerial images show that the methods presented in this paper are practical and effective.

Object extraction using genetic algorithms and morphological processing

This paper introduces a novel methodology for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structuring element, which are derived using genetic algorithm operating. The population of morphological filters iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring elements using the evolution principles of genetic search. Experimental results of object extraction in high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method.

A scalable and extensible segment-event-object-based sports video retrieval system

Sport video data is growing rapidly as a result of the maturing digital technologies that support digital video capture, faster data processing, and large storage. However, (1) semi-automatic content extraction and annotation, (2) scalable indexing model, and (3) effective retrieval and browsing, still pose the most challenging problems for maximizing the usage of large video databases. This article will present the findings from a comprehensive work that proposes a scalable and extensible sports video retrieval system with two major contributions in the area of sports video indexing and retrieval. The first contribution is a new sports video indexing model that utilizes semi-schema-based indexing scheme on top of an Object-Relationship approach. This indexing model is scalable and extensible as it enables gradual index construction which is supported by ongoing development of future content extraction algorithms. The second contribution is a set of novel queries which are based on XQuery to generate dynamic and user-oriented summaries and event structures. The proposed sports video retrieval system has been fully implemented and populated with soccer, tennis, swimming, and diving video. The system has been evaluated against 20 users to demonstrate and confirm its feasibility and benefits. The experimental sports genres were specifically selected to represent the four main categories of sports domain: period-, set-point-, time (race)-, and performance-based sports. Thus, the proposed system should be generic and robust for all types of sports.

Object focused simultaneous estimation of optical flow and state dynamics

The framework of differential optical flow has been built upon to enhance the performance of motion estimation from optical flow. By coupling optical flow and object state parameters, an effective procedure for object tracking is implemented with the dasiaSimultaneous Estimation of Optical Flow and Object Statepsila (SEOS) technique. The SEOS method utilizes dynamic object parameter information when calculating optical flow for tracking a moving object within a video stream. Optical flow estimation for the SEOS method requires minimization of an error functional containing object physical parameter data. The convergence of an energy functional to a feasible or optimal solution set is not guaranteed. Convergence criteria is often assumed and not shown explicitly. Convergence of the SEOS method for both the Jacobi and Gauss-Seidel numerical resolution methods is evaluated.

Object classification under ignorance using CaRBS : the case of the European barn swallow

This article investigates the potential of a novel technique for object classification, called Classification and Ranking Belief Simplex (CaRBS), which is based on the Dempster-Shafer theory of evidence. As such, the classification of objects and the evidence from their characteristics have a level of ignorance associated with them. Its potential is exposited in the application of the classification of European barn swallows according to their gender. The classification of biological data in the presence of ignorance about such data sets is a common problem in biology. Comparisons of the results from CaRBS with those from multivariate discriminant analysis and neural networks are made. Also shown throughout the investigation is the interpretability of the results with the utilisation of the simplex plot method of representing data