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.

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.

Die Wahrnehmung des Fremden im Caoba-Zyklus von B. Traven

Les six romans du cycle de Caoba retracent sur un mode fictif le déroulement de la Révolution mexicaine et montrent les conséquences de la colonisation de même que les injustices sociales et économiques dont souffre tout particulièrement la population indigène. Dans ce contexte de conflit culturel entre colonisés et colonisateurs, le personnage de l’indigène est perçu de façon variée dans les différents romans. L’analyse de la représentation de la population indigène est donc le sujet principal de ce travail qui combine une étude narratologique et une approche postcoloniale. L’examen détaillé d’extraits de texte permettra de vérifier dans quelle mesure l’auteur germanophone B. Traven, dans sa représentation de l'étranger, se détache d’un discours colonial, et s’il peut être considéré comme un auteur postcolonial avant la lettre. Dans ces analyses, les questions suivantes serviront de fil conducteur : dans quelle mesure la représentation du personnage de l’indigène correspond-elle à celle du «bon sauvage» ? Comment les différents groupes sociaux du Mexique sont-ils représentés – par des individus, des descriptions stéréotypées, des allégories? Quels moyens l’auteur utilise-t-il pour familiariser son lectorat européen/occidental avec cette culture étrangère? Ainsi, le travail se penche sur les procédés narratifs employés par l’auteur pour dépeindre la société à partir de perspectives diverses. Dans le but de dénoncer des conditions d’oppression et d’exploitation, Traven écrit à partir du regard du colonisé. Mais lorsqu'il cherche à comprendre le système dictatorial, il écrit dans la perspective du colonisateur. Cette méthode correspond à celle des regards croisés que le théoricien Edward E. Said décrit dans son ouvrage Orientalisme. L’emploi de cette méthode contrapunctique - permet-il d’exercer une critique (post)coloniale? Dans quelle mesure ce texte révèle-t-il l’importance de l’hybridité de la culture telle qu'elle a été théorisée par K. Bhabha? Dans quelle mesure l'accent est-il mis sur les rapports transculturels, sur la façon dont les cultures s'influencent les unes les autres?

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

La tribune de l'éditeur / Editor's Soapbox

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.

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

Handwritten Character Recognition of South Indian Scripts: A Review

Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts especially for the South Indian scripts. This paper provides an overview of offline handwritten character recognition in South Indian Scripts, namely Malayalam, Tamil, Kannada and Telungu

Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier

This paper presents the application of wavelet processing in the domain of handwritten character recognition. To attain high recognition rate, robust feature extractors and powerful classifiers that are invariant to degree of variability of human writing are needed. The proposed scheme consists of two stages: a feature extraction stage, which is based on Haar wavelet transform and a classification stage that uses support vector machine classifier. Experimental results show that the proposed method is effective