05/08/1944 Letter from J. Emile Lussier

Letter from J. Emile Lussier, Vice President of J. E. Clément Incorporée. to Louis-Philippe Gagné.https://digitalcommons.usm.maine.edu/fac-lpg-letters-1940-1946/1010/thumbnail.jp

Conscientiousness as a Mediator of Caffeine Use and Academic Performance

Academic performance (AP) is of primary importance to undergraduate students because it is related to future economic and occupational success. Therefore, it is not surprising that students want to maximize their GPA, a common measure of AP. This study used a survey model to investigate the relationships among caffeine use (CU), conscientiousness (CN), and AP. Specifically, it was hypothesized that there would be a positive correlation between CU and GPA, CU and CN, and CN and GPA. In addition, CN was believed to be a mediating variable in the CU-GPA relationship. Analysis of the results revealed that the only significant relationship was the positive correlation between CN and GPA. Additional analyses were performed investigating CU and time-consuming activities. These variables were successfully entered into a model to predict AP. Upon entering CN into this relationship, many of the variables were reduced to nonsignificance. Therefore, students who are low on CN must pay attention to how they spend their time if they want to do well academically because time management may not come naturally to them. Future research should consider using more direct measures and a larger sample size in an attempt to investigate the relationships between the variables

The Use of University Research in Planning Decision Making in Jordanian Municipalities

• the first Jordanian study to examine the use of academic research for planning decision making • presents evidence of how Jordanian municipal laws and practices act as barriers to engagement with academic researchers • Statistical analysis of how key issues (centralization, finance, self-efficacy, administrative culture) affect the use of research in decision making processes. • Makes recommendations on how many of the problems identified can be mitigate

Comment on "Magnetic field effects on neutron diffraction in the antiferromagnetic phase of UPt3"

Moreno and Sauls [Phys. Rev. B 63, 024419 (2000)] have recently tried to reanalyze earlier neutron scattering studies of the antiferromagnetic order in UPt3 with a magnetic field applied in the basal plane. In their calculation of the magnetic Bragg peak intensities, they perform an average over different magnetic structures belonging to distinct symmetry representations. This is incorrect. In addition, they have mistaken the magnetic field direction in one of the experiments, hence invalidating their conclusions concerning the experimental results.Comment: Revised 5 June 2001: Added group theory analysis and modified discussion of S and K domain

Characterizing the impact of geometric properties of word embeddings on task performance

Analysis of word embedding properties to inform their use in downstream NLP tasks has largely been studied by assessing nearest neighbors. However, geometric properties of the continuous feature space contribute directly to the use of embedding features in downstream models, and are largely unexplored. We consider four properties of word embedding geometry, namely: position relative to the origin, distribution of features in the vector space, global pairwise distances, and local pairwise distances. We define a sequence of transformations to generate new embeddings that expose subsets of these properties to downstream models and evaluate change in task performance to understand the contribution of each property to NLP models. We transform publicly available pretrained embeddings from three popular toolkits (word2vec, GloVe, and FastText) and evaluate on a variety of intrinsic tasks, which model linguistic information in the vector space, and extrinsic tasks, which use vectors as input to machine learning models. We find that intrinsic evaluations are highly sensitive to absolute position, while extrinsic tasks rely primarily on local similarity. Our findings suggest that future embedding models and post-processing techniques should focus primarily on similarity to nearby points in vector space.Comment: Appearing in the Third Workshop on Evaluating Vector Space Representations for NLP (RepEval 2019). 7 pages + reference

Information-theoretic classification of SNOMED improves the organization of context-sensitive excerpts from Cochrane Reviews

The emphasis on evidence based medicine (EBM) has placed increased focus on finding timely answers to clinical questions in presence of patients. Using a combination of natural language processing for the generation of clinical excerpts and information theoretic distance based clustering, we evaluated multiple approaches for the efficient presentation of context-sensitive EBM excerpts

Semi-automatic annotation process for procedural texts: An application on cooking recipes

Taaable is a case-based reasoning system that adapts cooking recipes to user constraints. Within it, the preparation part of recipes is formalised as a graph. This graph is a semantic representation of the sequence of instructions composing the cooking process and is used to compute the procedure adaptation, conjointly with the textual adaptation. It is composed of cooking actions and ingredients, among others, represented as vertices, and semantic relations between those, shown as arcs, and is built automatically thanks to natural language processing. The results of the automatic annotation process is often a disconnected graph, representing an incomplete annotation, or may contain errors. Therefore, a validating and correcting step is required. In this paper, we present an existing graphic tool named \kcatos, conceived for representing and editing decision trees, and show how it has been adapted and integrated in WikiTaaable, the semantic wiki in which the knowledge used by Taaable is stored. This interface provides the wiki users with a way to correct the case representation of the cooking process, improving at the same time the quality of the knowledge about cooking procedures stored in WikiTaaable