Photograph - Helen Stanley Smith, age 9

A photograph of Helen Stanley Smith at age 9 (1913). There are two other poses of Helen in the same photography session available in the collection.

The Relative Age Effect in Minor Ice Hockey: Investigating the 'Underdog Effect'

Abstract The Relative Age Effect (RAE), defined as a skewed birth date distribution, has been identified as a known phenomenon in minor ice hockey. The purpose of this study was to investigate the relationship between the RAE, physical measurements, and skating ability/in-game performance in forty-four youth male ice hockey players competing in the same age cohort. Physical anthropometrics, grip strength, in-game performance and skating abilities were measured. An RAE was found in the sample (χ2(3, N = 44) = 12.18, p = 0.007). Players born in the first half of the age cohort had longer leg length (F(1,42) =4.49 , p = 0.04), larger body mass (F(1,42) = 3.90, p = 0.05), and stronger grip strength (F(1,42) = 7.58, p = 0.009). Performance scores were negatively associated with grip strength (r = -.443, p = 0.003). Findings suggest that adequate skill development can help relatively younger players overcome physical maturity disadvantages.

Age-Related Changes in Visual Spatial Working Memory Cognits: Frontal-Parietal EEG Coherence During Delay

This study explored changes in scalp electrophysiology across two Working Memory (WM) tasks and two age groups. Continuous electroencephalography (EEG) was recorded from 18 healthy adults (18-34 years) and 12 healthy adolescents (14-17) during the performance of two Oculomotor Delayed Response (ODR) WM tasks; (i.e. eye movements were the metric of motor response). Delay-period, EEG data in the alpha frequency was sampled from anterior and parietal scalp sites to achieve a general measure of frontal and parietal activity, respectively. Frontal-parietal, alpha coherence was calculated for each participant for each ODR-WM task. Coherence significantly decreased in adults moving across the two ODR tasks, whereas, coherence significantly increased in adolescents moving across the two ODR tasks. The effects of task in the adolescent and adult groups were large and medium, respectively. Within the limits of this study, the results provide empirical support that WM development during adolescence include complex, qualitative, change.

Temperance Poster - Teen Age Turnout

A poster for two days of events in Lindsay, Ontario. The poster is by the Ontario Temperance Federation and offers a "Teen Age Turnout" on Saturday November 14th and an assembly on Sunday November 15th featuring Dr. Wm. Seath "direct from 20 yrs. on Chicago's infamous 'Skid Row'".

Temperance Poster - "Teen-Age Turn-Out" Cornwall, Ontario

A poster produced by "A Provincial Educational Project of the Ontario Temperance Federation" for an event called "Teen-Age Turn-Out". The event is to take place at Cornwall Armouries.

Fit For Action: A Comparative Case Study of the Implementation of an Adaptive Fitness and Conditioning Program for Moderate Functioning Teens and Transition Age Youth with ASD

The purpose of my research was to develop and refine pedagogic approaches, and establish fitness baselines to adapt fitness and conditioning programs for Moderate-functioning ASD individuals. I conducted a seven-week study with two teens and two trainers. The trainers implemented individualized fitness and conditioning programs that I developed. I conducted pre and post fitness baselines for each teen, a pre and post study interview with the trainers, and recorded semi-structured observations during each session. I used multi-level, within-case and across case analyses, working inductively and deductively. My findings indicated that fundamental movement concepts can be used to establish fitness baselines and develop individualized fitness programs. I tracked and evaluated progressions and improvements using conventional measurements applied to unconventional movements. This process contributed to understanding and making relevant modifications to activities as effective pedagogic strategies for my trainers. Further research should investigate fitness and conditioning programs with lower functioning ASD individuals.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and deterministic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel metaheuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age���measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS metaheuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and determinis- tic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel meta–heuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age���measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS meta–heuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

Receipt to S.D. Woodruff from Harnden Co. Stone for charges on the level

Receipt to S.D. Woodruff from Harnden Co. Stone for charges on the level, 1846.

Certificate of exportation to S.D. Woodruff from Harnden Co. Stone

Certificate of exportation to S.D. Woodruff from Harnden Co. Stone for items sent to Lewiston from Buffalo. This is a handwritten 1 page document, Jan. 1, 1846[7].

Letter to S.D. Woodruff from the Clough Stone Co.

Letter to S.D. Woodruff from the Clough Stone Co. acknowledging the payment made for stone shipped to B. Allen, July 24, 1876.

Receipt from J.D. Hibbard for brick and stone work

Receipt from J.D. Hibbard for brick and stone work, Dec. 14, 1876.

Printed blank sent to Mr. B. Allen from the Clough Stone Co. of North Amherst, Ohio, Miners and Manufacturers of Grindstones and Building Stone

Printed blank sent to Mr. B. Allen from the Clough Stone Co. of North Amherst, Ohio, Miners and Manufacturers of Grindstones and Building Stone regarding shipping. This is signed by Mr. Davis, July 19, 1876.

Photograph - Young girl, Martha. Approximate age 6-9 years old. Ambrotype?

Young girl, Martha. Approximate age 6-9 years old. Ambrotype? Ca. 1850s? Brass matting with brass border. Wooden case. Photograph very faded. 8.5mm x 9.5mm (yellow sticker with “x” on front of case).

Esquemas de compensación basados en productividad para la mejora del desempeño del recurso humano y de la empresa Stone Container de México, S.de R.L. de C.V.

[Tesis] ( Maestría en Administración de Empresas con Especialidad en Recursos Humanos) U.A.N.L.