A Case Study of the "Who is NOBODY?" Project: A Character Development Program for Children with Learning Disabilities

This research study explored a support system for children with learning disabilities. The Learning Disabilities Association of Niagara Region (LDANR) recently expanded its Better Emotional and Social Times (B.E.S.T.) program to incorporate an innovative, character education initiative called the “Who is NOBODY?” program. The objective of this qualitative case study was two-fold. First, the study aimed to support the LDANR in assessing the efficacy of the “Who is NOBODY?” program, providing the LDANR with empirical support for their programs. Second, the study enabled a more in-depth understanding of how to best support children with LD in regards to their social and emotional well-being. The study explored the “Who is NOBODY?” program through three lenses: design, implementation, and experiences of participating children. Three primary themes emerged from these three data lenses: positive character traits, prosocial behaviour, and strong self-efficacy – leading to the promotion of strong character development and self-esteem. Taken together, the “Who is NOBODY?” program was shown to be a successful remediation program for supporting vulnerable children with LD.

The time-course of lexical activation in Japanese morphographic word recognition: Evidence for a character-driven processing model

This lexical decision study with eye tracking of Japanese two-kanji-character words investigated the order in which a whole two-character word and its morphographic constituents are activated in the course of lexical access, the relative contributions of the left and the right characters in lexical decision, the depth to which semantic radicals are processed, and how nonlinguistic factors affect lexical processes. Mixed-effects regression analyses of response times and subgaze durations (i.e., first-pass fixation time spent on each of the two characters) revealed joint contributions of morphographic units at all levels of the linguistic structure with the magnitude and the direction of the lexical effects modulated by readers’ locus of attention in a left-to-right preferred processing path. During the early time frame, character effects were larger in magnitude and more robust than radical and whole-word effects, regardless of the font size and the type of nonwords. Extending previous radical-based and character-based models, we propose a task/decision-sensitive character-driven processing model with a level-skipping assumption: Connections from the feature level bypass the lower radical level and link up directly to the higher character level.

Teaching Adolescents to Think and Act Responsibly Through Narrative Film-making: A Qualitative Study

The current qualitative study examined an adapted version of the psychoeducational program, Teaching Adolescents to Think and Act Responsibly: The EQUIP Approach (DiBiase, Gibbs, Potter, & Blount, 2012). The adapted version, referred to as the EQUIP – Narrative Filmmaking Program, was implemented as a means of character education. The purpose of this study was three-fold: 1) to examine how the EQUIP – Narrative Film-making Program influenced student’s thoughts, feelings, and behaviours; 2) to explore the students’ and the teacher’s perception of their experience with the program; and 3) to assess whether or not the integrated EQUIP – Narrative Film-making Program addressed the goals of Ontario’s character education initiative. Purposive sampling was used to select one typical Grade 9 Exploring Technologies class, consisting of 15 boys from a Catholic board of education in the southern Ontario region. The EQUIP – Narrative Film-making Program required students to create moral narrative films that first portrayed a set of self-centered cognitive distortions, with follow-up portrayals of behavioural modifications. Before, during, and after intervention questionnaires were administered to the students and teacher. The student questionnaires invited responses to a set of cognitive distortion vignettes. In addition, data was collected through student and teacher interviews, and researcher observation protocol reports. Initially the data was coded according to an a priori set of themes that were further analyzed according to emotion and values coding methods. The results indicated that while each student was unique in his thoughts, feelings, and behavioural responses to the cognitive distortion vignettes after completing the EQUIP program, the overall trends showed students had a more positive attitude, with a decreased proclivity for antisocial behaviour and self-serving cognitive distortion portrayed in the vignettes. Overall, the teacher and students’ learning experiences were mainly positive and the program met the learning expectations of Ontario’s character education initiative. Based on these results of the present study, it is recommended that the EQUIP – Narrative Film-making Program be further evaluated through quantitative research and longitudinal study.

Character

UANL

The Republic of México in 1876; a polítical and ethnographical division of the population, character, habits, costumes an vocations of its in habitans

UANL

Village sermons on the chief articles of faith, &c., on the christian character, and on some of the relative duties...

UANL

Character and professionalism in the context of developing countries – the example of mercenaries

On pense souvent que le professionnalisme moderne exige qu’on regarde comme non relevante les traditions particulières ainsi que les liens avec familiaux, tribaux et religieux. Du point de vue du professionnalisme, ce qu’est important sont des règles internes à la profession et aussi les droits universels de l’homme vu comme individu abstrait. Dans une société où l’individualisme et le commerce deviennent omniprésents, les traditions éthiques et les identités narratives pourraient pourtant constituer un cadre de motivations clé pour l’intégrité éthique professionnelle. Je prendrai comme exemple la profession militaire et en particulier l’utilisation de mercenaires. En distinguant entre les compétences et les vertus je me demanderai si oui ou non il y a une relation nécessaire entre un bon soldat et le fait d’être un citoyen. Le fait d’être est compris ici comme catégorie morale qui occasionne un certain idéal de caractère et en particulier des vertus. Je conclus que l’action de contractualisation privée d’un soldat n’est pas en général moralement digne d’éloge et ne devrait pas être encouragée dans une société éthiquement orientée.

The Dalhousie Dentistry Story: A Case for Proportionality, Professionalism, and the Promotion of Moral Character

La tribune de l'éditeur / Editor's Soapbox

PSWT Based Linear Predictive Coding and Development of a Parallel Multiple Subsequence Structure for DWT Computation

During 1990's the Wavelet Transform emerged as an important signal processing tool with potential applications in time-frequency analysis and non-stationary signal processing.Wavelets have gained popularity in broad range of disciplines like signal/image compression, medical diagnostics, boundary value problems, geophysical signal processing, statistical signal processing,pattern recognition,underwater acoustics etc.In 1993, G. Evangelista introduced the Pitch- synchronous Wavelet Transform, which is particularly suited for pseudo-periodic signal processing.The work presented in this thesis mainly concentrates on two interrelated topics in signal processing,viz. the Wavelet Transform based signal compression and the computation of Discrete Wavelet Transform. A new compression scheme is described in which the Pitch-Synchronous Wavelet Transform technique is combined with the popular linear Predictive Coding method for pseudo-periodic signal processing. Subsequently,A novel Parallel Multiple Subsequence structure is presented for the efficient computation of Wavelet Transform. Case studies also presented to highlight the potential applications.

Local character of magnetic coupling in ionic solids

Magnetic interactions in ionic solids are studied using parameter-free methods designed to provide accurate energy differences associated with quantum states defining the Heisenberg constant J. For a series of ionic solids including KNiF3, K2NiF4, KCuF3, K2CuF4, and high- Tc parent compound La2CuO4, the J experimental value is quantitatively reproduced. This result has fundamental implications because J values have been calculated from a finite cluster model whereas experiments refer to infinite solids. The present study permits us to firmly establish that in these wide-gap insulators, J is determined from strongly local electronic interactions involving two magnetic centers only thus providing an ab initio support to commonly used model Hamiltonians.

Fault Tolerant Error Coding and Detection using Reversible Gates

In recent years, reversible logic has emerged as one of the most important approaches for power optimization with its application in low power CMOS, quantum computing and nanotechnology. Low power circuits implemented using reversible logic that provides single error correction – double error detection (SEC-DED) is proposed in this paper. The design is done using a new 4 x 4 reversible gate called ‘HCG’ for implementing hamming error coding and detection circuits. A parity preserving HCG (PPHCG) that preserves the input parity at the output bits is used for achieving fault tolerance for the hamming error coding and detection circuits.

Feature Extraction Methods Based on Linear Predictive Coding and Wavelet Packet Decomposition for Recognizing Spoken Words in Malayalam

Speech signals are one of the most important means of communication among the human beings. In this paper, a comparative study of two feature extraction techniques are carried out for recognizing speaker independent spoken isolated words. First one is a hybrid approach with Linear Predictive Coding (LPC) and Artificial Neural Networks (ANN) and the second method uses a combination of Wavelet Packet Decomposition (WPD) and Artificial Neural Networks. Voice signals are sampled directly from the microphone and then they are processed using these two techniques for extracting the features. Words from Malayalam, one of the four major Dravidian languages of southern India are chosen for recognition. Training, testing and pattern recognition are performed using Artificial Neural Networks. Back propagation method is used to train the ANN. The proposed method is implemented for 50 speakers uttering 20 isolated words each. Both the methods produce good recognition accuracy. But Wavelet Packet Decomposition is found to be more suitable for recognizing speech because of its multi-resolution characteristics and efficient time frequency localizations

k-NN based On-Line Handwritten Character recognition system

On-line handwriting recognition has been a frontier area of research for the last few decades under the purview of pattern recognition. Word processing turns to be a vexing experience even if it is with the assistance of an alphanumeric keyboard in Indian languages. A natural solution for this problem is offered through online character recognition. There is abundant literature on the handwriting recognition of western, Chinese and Japanese scripts, but there are very few related to the recognition of Indic script such as Malayalam. This paper presents an efficient Online Handwritten character Recognition System for Malayalam Characters (OHR-M) using K-NN algorithm. It would help in recognizing Malayalam text entered using pen-like devices. A novel feature extraction method, a combination of time domain features and dynamic representation of writing direction along with its curvature is used for recognizing Malayalam characters. This writer independent system gives an excellent accuracy of 98.125% with recognition time of 15-30 milliseconds

An Online Character Recognition System to Convert Grantha Script to Malayalam

This paper presents a novel approach to recognize Grantha, an ancient script in South India and converting it to Malayalam, a prevalent language in South India using online character recognition mechanism. The motivation behind this work owes its credit to (i) developing a mechanism to recognize Grantha script in this modern world and (ii) affirming the strong connection among Grantha and Malayalam. A framework for the recognition of Grantha script using online character recognition is designed and implemented. The features extracted from the Grantha script comprises mainly of time-domain features based on writing direction and curvature. The recognized characters are mapped to corresponding Malayalam characters. The framework was tested on a bed of medium length manuscripts containing 9-12 sample lines and printed pages of a book titled Soundarya Lahari writtenin Grantha by Sri Adi Shankara to recognize the words and sentences. The manuscript recognition rates with the system are for Grantha as 92.11%, Old Malayalam 90.82% and for new Malayalam script 89.56%. The recognition rates of pages of the printed book are for Grantha as 96.16%, Old Malayalam script 95.22% and new Malayalam script as 92.32% respectively. These results show the efficiency of the developed system