
Concordia University
UniversityMontreal, Canada
Research output, citation impact, and the most-cited recent papers from Concordia University (Canada). Aggregated across the NobleBlocks index of 300M+ scholarly works.
Top-cited papers from Concordia University
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan). New to This Edition â¢Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. â¢Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. â¢Expanded coverage of psychometrics. â¢Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). â¢Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features â¢Exercises with answers, plus end-of-chapter annotated lists of further reading. â¢Real examples of troublesome data, demonstrating how to handle typical problems in analyses. â¢Topic boxes on specialized issues, such as causes of nonpositive definite correlations. â¢Boxed rules to remember. â¢Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools.
OBJECTIVES: To develop a 10-minute cognitive screening tool (Montreal Cognitive Assessment, MoCA) to assist first-line physicians in detection of mild cognitive impairment (MCI), a clinical state that often progresses to dementia. DESIGN: Validation study. SETTING: A community clinic and an academic center. PARTICIPANTS: Ninety-four patients meeting MCI clinical criteria supported by psychometric measures, 93 patients with mild Alzheimer's disease (AD) (Mini-Mental State Examination (MMSE) score > or =17), and 90 healthy elderly controls (NC). MEASUREMENTS: The MoCA and MMSE were administered to all participants, and sensitivity and specificity of both measures were assessed for detection of MCI and mild AD. RESULTS: Using a cutoff score 26, the MMSE had a sensitivity of 18% to detect MCI, whereas the MoCA detected 90% of MCI subjects. In the mild AD group, the MMSE had a sensitivity of 78%, whereas the MoCA detected 100%. Specificity was excellent for both MMSE and MoCA (100% and 87%, respectively). CONCLUSION: MCI as an entity is evolving and somewhat controversial. The MoCA is a brief cognitive screening tool with high sensitivity and specificity for detecting MCI as currently conceptualized in patients performing in the normal range on the MMSE.
It is argued that (a) social identification is a perception of oneness with a group of persons; (b) social identification stems from the categorization of individuals, the distinctiveness and prestige of the group, the salience of outgroups, and the factors that traditionally are associated with group formation; and (c) social identification leads to activities that are congruent with the identity, support for institutions that embody the identity, stereotypical perceptions of self and others, and outcomes that traditionally are associated with group formation, and it reinforces the antecedents of identification. This perspective is applied to organizational socialization, role conflict, and intergroup relations.
Abstract Cognitive evaluation theory, which explains the effects of extrinsic motivators on intrinsic motivation, received some initial attention in the organizational literature. However, the simple dichotomy between intrinsic and extrinsic motivation made the theory difficult to apply to work settings. Differentiating extrinsic motivation into types that differ in their degree of autonomy led to self‐determination theory, which has received widespread attention in the education, health care, and sport domains. This article describes self‐determination theory as a theory of work motivation and shows its relevance to theories of organizational behavior. Copyright © 2005 John Wiley & Sons, Ltd.
In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is thatthere is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure flux through the autophagy pathway (i.e., the completeprocess including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defined as increasedautophagy induction coupled with increased delivery to, and degradation within, lysosomes (inmost higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in manycases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as forreviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multipleassays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation, it is imperative to target by gene knockout or RNA interference more than one autophagyrelated protein. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways implying that not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular assays, we hope to encourage technical innovation in the field.
Abstract Organizational identification is defined as a perceived oneness with an organization and the experience of the organization's successes and failures as one's own. While identification is considered important to the organization, it has not been clearly operationalized. The current study tests a proposed model of organizational identification. Self‐report data from 297 alumni of an all‐male religious college indicate that identification with the alma mater was associated with: (1) the hypothesized organizational antecedents of organizational distinctiveness, organizational prestige, and (absence of) intraorganizational competition, but not with interorganizational competition, (2) the hypothesized individual antecedents of satisfaction with the organization, tenure as students, and sentimentality, but not with recency of attendance, number of schools attended, or the existence of a mentor, and (3) the hypothesized outcomes of making financial contributions, willingness to advise one's offspring and others to attend the college, and participating in various school functions. The findings provide direction for academic administrators seeking to increase alumni support, as well as for corporate managers concerned about the loyalty of workers in an era of mergers and takeovers.
This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems. The results on the mathematical functions show that the SSA algorithm is able to improve the initial random solutions effectively and converge towards the optimum. The results of MSSA show that this algorithm can approximate Pareto optimal solutions with high convergence and coverage. The paper also considers solving several challenging and computationally expensive engineering design problems (e.g. airfoil design and marine propeller design) using SSA and MSSA. The results of the real case studies demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.
This highly regarded handbook remains the leading reference and advanced text on socialization. Foremost authorities review the breadth of current knowledge on socialization processes across the life span. Extensively revised with the latest theory and research, the second edition reflects exciting advances in genetics, biological and hormonal regulatory systems, and brain research. Contributors present cutting-edge theories and findings pertaining to family, peer, school, community, media, and other influences on individual development. Three themes guide the book: the interdependence of biology and experience, the bidirectionality of socialization processes, and the many contributing factors that interact to produce multiple socialization processes and pathways. New to This Edition *Revised structure reflects the diversity of socializing relationships in multiple contexts from infancy through adulthood. *Sections on biology and culture provide a dual framework and include new chapters on cross-cultural research, genetics, chronic family stress, and neuroscience. *Chapters on adolescence, new-employee organizational socialization, and cultivating the moral personality
Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this by deriving backpropagation signals through a competitive process involving a pair of networks. The representations that can be learned by GANs may be used in a variety of applications, including image synthesis, semantic image editing, style transfer, image superresolution, and classification. The aim of this review article is to provide an overview of GANs for the signal processing community, drawing on familiar analogies and concepts where possible. In addition to identifying different methods for training and constructing GANs, we also point to remaining challenges in their theory and application.
I argue that the impact of context on organizational behavior is not sufficiently recognized or appreciated by researchers. I define context as situational opportunities and constraints that affect the occurrence and meaning of organizational behavior as well as functional relationships between variables, and I propose two levels of analysis for thinking about context–one grounded in journalistic practice and the other in classic social psychology. Several means of contextualizing research are considered.
We present the first global parameterization and validation of a novel charge model, called AM1-BCC, which quickly and efficiently generates high-quality atomic charges for computer simulations of organic molecules in polar media. The goal of the charge model is to produce atomic charges that emulate the HF/6-31G* electrostatic potential (ESP) of a molecule. Underlying electronic structure features, including formal charge and electron delocalization, are first captured by AM1 population charges; simple additive bond charge corrections (BCCs) are then applied to these AM1 atomic charges to produce the AM1-BCC charges. The parameterization of BCCs was carried out by fitting to the HF/6-31G* ESP of a training set of >2700 molecules. Most organic functional groups and their combinations were sampled, as well as an extensive variety of cyclic and fused bicyclic heteroaryl systems. The resulting BCC parameters allow the AM1-BCC charging scheme to handle virtually all types of organic compounds listed in The Merck Index and the NCI Database. Validation of the model was done through comparisons of hydrogen-bonded dimer energies and relative free energies of solvation using AM1-BCC charges in conjunction with the 1994 Cornell et al. forcefield for AMBER.(13) Homo- and hetero-dimer hydrogen-bond energies of a diverse set of organic molecules were reproduced to within 0.95 kcal/mol RMS deviation from the ab initio values, and for DNA dimers the energies were within 0.9 kcal/mol RMS deviation from ab initio values. The calculated relative free energies of solvation for a diverse set of monofunctional isosteres were reproduced to within 0.69 kcal/mol of experiment. In all these validation tests, AMBER with the AM1-BCC charge model maintained a correlation coefficient above 0.96. Thus, the parameters presented here for use with the AM1-BCC method present a fast, accurate, and robust alternative to HF/6-31G* ESP-fit charges for general use with the AMBER force field in computer simulations involving organic small molecules.
Concerns related to the environment are evident in the increasingly ecologically conscious marketplace. Using various statistical analyses, investigats the demographic, psychological and behavioral profiles of consumers who are willing to pay more for environmentally friendly products. Finds that this segment of consumers were more likely to be females, married and with at least one child living at home. They reported that today’s ecological problems are severe, that corporations do not act responsibly toward the environment and that behaving in an ecologically favorable fashion is important and not inconvenient. They place a high importance on security and warm relationships with others, and they often consider ecological issues when making a purchase. Managerial implications for green marketers and suggestions for future research are discussed.
A fast parallel thinning algorithm is proposed in this paper. It consists of two subiterations: one aimed at deleting the south-east boundary points and the north-west corner points while the other one is aimed at deleting the north-west boundary points and the south-east corner points. End points and pixel connectivity are preserved. Each pattern is thinned down to a "skeleton" of unitary thickness. Experimental results show that this method is very effective.
The theory is advanced that the common denominator fa wide range of addictive substances i their ability to cause psychomotor activation. This view is related to the theory that all positive reinforcers activate acommon biological mechanism associated with approach behaviors and that this mechanism has as one of its components dopaminergic f bers that project up the medial fore-brain bundle from the midbrain to limbic and cortical regions. Evidence is reviewed that links both the reinforcing and locomotor-stimulating effects of both the psychomotor stimulants and the opiates to this brain mechanism. It is suggested that nicotine, caffeine, barbiturates, alcohol, benzodiaz-epines, cannabis, and phencyclidine----each ofwhich also has psychomotor stimulant actions--may activate the docaminergic f bers or their output circuitry. The role of physical dependence in addic-tion is suggested tovary from drug to drug and to be of secondary importance inthe understanding of compulsive drug self-administration. Attempts at a general theory of addiction are attempts to isr late--from a variety of irrelevant actionsmthose drug actions that are responsible for habitual, compulsive, nonmedical drug self-administration. The common assumption of addiction the-orists is that general principles of addiction can be learned from the study of one drug and that these principles will have heuris-tic value for the study of other drugs. Thus far, attempts at a general theory of addiction have failed to isolate common ac-tions that can account for addiction across the range of major drug classes. A major stumbling block has been the psychomo-tor stimulants--amphetamine a d cocainemwhich do not readily fit models traditionally based on depressant drug classes. The present article offers a new attempt at a general theory of addiction. It differs from earlier theories (e.g., Collier,
autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
Emotional labor is the display of expected emotions by service agents during service encounters. It is performed through surface acting, deep acting, or the expression of genuine emotion. Emotional labor may facilitate task effectiveness and self-expression, but it also may prime customer expectations that cannot be met and may trigger emotive dissonance and self-alienation. However, following social identity theory, we argue that some effects of emotional labor are moderated by one's social and personal identities and that emotional labor stimulates pressures for the person to identify with the service role. Research implications for the micro, meso, and macro levels of organizations are discussed.
Passion is defined as a strong inclination toward an activity that people like, that they find important, and in which they invest time and energy. Two types of passion are proposed: obsessive and harmonious. Obsessive passion (OP) refers to a controlled internalization of an activity in one's identity that creates an internal pressure to engage in the activity that the person likes. Harmonious passion (HP) refers to an autonomous internalization that leads individuals to choose to engage in the activity that they like. HP promotes healthy adaptation whereas OP thwarts it by causing negative affect and rigid persistence. Results from four studies involving more than 900 participants from different populations supported the proposed conceptualization.
Using Fortune magazine's ratings of corporate reputations, we analyzed the relationships between perceptions of firms’ corporate social responsibility and measures of their financial performance. Results show that a firm's prior performance, assessed by both stock-market returns and accounting-based measures, is more closely related to corporate social responsibility than is subsequent performance. Results also show that measures of risk are more closely associated with social responsibility than previous studies have suggested.
The chapter begins with a distinction made between the interactions children have with peers, the relationships they form with peers, and the groups and networks within which peer interactions and relationships occur. From this conceptual overview, a review of relevant theories is presented. Thereafter, a developmental perspective of peer interactions, relationships, and groups is presented covering the periods of infancy, toddlerhood, early childhood, middle childhood, and adolescence. Subsequently, methods and measures pertaining to the study of children's peer experiences are described. Next, we examine factors that may account for peer acceptance and rejection as well as qualitatively rich and poor friendships. Among the factors discussed are included temperament (biological factors), sex of child, parenting, parent-child relationships, and culture. The chapter concludes with a discussion of the extent to which individual differences in peer acceptance, rejection and friendship (prevalence and quality) predict adaptive and maladaptive developmental outcomes and a suggested agenda for future research.
This article presents a study of corrective feedback and learner uptake (i.e., responses to feedback) in four immersion classrooms at the primary level. Transcripts totaling 18.3 hours of classroom interaction taken from 14 subject-matter lessons and 13 French language arts lessons were analyzed using a model developed for the study and comprising the various moves in an error treatment sequence. Results include the frequency and distribution of the six different feedback types used by the four teachers, in addition to the frequency and distribution of different types of learner uptake following each feedback type. The findings indicate an overwhelming tendency for teachers to use recasts in spite of the latter's ineffectiveness at eliciting student-generated repair. Four other feedback types—elicitation, metalinguistic feedback, clarification requests, and repetition—lead to student-generated repair more successfully and are thus able to initiate what the authors characterize as the negotiation of form.