Over egging the pudding? Comments on Ojala and Thorpe

In a recent paper in ISCJ, Ojala and Thorpe offered a culturally based observation that questions the role and application of coaching in action sports. Their critique is focused on the action sport of snowboarding which, despite its’ comparatively recent inclusion in the Olympics, retains a different, almost collaborative rather than competitive culture more akin to other action sports such as skateboarding and surfing. Ojala and Thorpe then present Problem Based Learning (PBL) as the solution to many of these perceived ills, describing the positive characteristics of the approach and promoting its cultural fit with action sport environments and performers. In this paper we offer a different perspective, which questions the veracity of the data presented and the unquestioningly positive view of PBL as the answer. Our alternative, data-driven perspective suggests that action sport athletes are increasingly positive, or even desirous of good coaching, of which PBL is a possible approach; suitable for some athletes some of the time

Moving Stories Program [1996]

directed by Emily Ojala assistant director, Wendy Getchellhttps://digitalcommons.usm.maine.edu/theatre-programs-1995-1996/1004/thumbnail.jp

Space, Shapes, Motion Poster

Directed by Emily Ojala Dimensions: 11 x 17https://digitalcommons.usm.maine.edu/theatre-posters-1994-1995/1000/thumbnail.jp

Dance USM! Poster [1998]

Directed by Emily Ojala Dimensions: 11 x 17https://digitalcommons.usm.maine.edu/theatre-posters-1997-1998/1003/thumbnail.jp

Use of race records for breeding evalution of trotters in Finland

Supplement I-IV Papers included in the thesis I Ojala, M.J. 1982. II Ojala, M.J. and Van Vieck, L.D. 1981 III Ojala, M., Van Vieck, L.D. and Quaas, R.L.1986. IV Ojala, M. 1986vokKirjasto Aj-

Quantifying appearance retention in carpets using geometrical local binary patterns

Quality assessment in carpet manufacturing is performed by humans who evaluate the appearance retention (AR) grade on carpet samples. To quantify the AR grades objectively, different research based on computer vision have been developed. Among them Local Binary Pattern (LBP) and its variations has shown promising results. Nevertheless, the requirements of quality assessment on a wide range of carpets have not been met yet. One of the difficulties is to distinguish between consecutive AR grades in carpets. For this, we adopt an extension of LBP called Geometrical Local Binary Patterns (GLBP) that we recently proposed. The basis of GLBP is to evaluate the grey scale differences between adjacent points defined on a path in a neighbourhood. Symmetries of the paths in the GLBPs are evaluated. The proposed technique is compared with an invariant rotational mirror based LBP technique. The results show that the GLBP technique performs better to distinguish consecutive AR grades in carpets

On (αn)(\alpha_n)-regular sets

We define $(\alpha_n)$ -regular sets in uniformly perfect metric spaces. This definition is quasisymmetrically invariant and the construction resembles generalized dyadic cubes in metric spaces. For these sets we then determine the necessary and sufficient conditions to be fat (or thin). In addition we discuss restrictions of doubling measures to these sets, and in particular give a sufficient condition to retain at least some of the restricted measures doubling on the set. Our main result generalizes and extends analogous results that were previously known to hold in the real-line.Comment: 18 pages, 2 figure

Dancing Stories Poster

Directed by Emily Ojala Assistant Director Wendy Getchell Dimensions: 17 x 11https://digitalcommons.usm.maine.edu/theatre-posters-1995-1996/1005/thumbnail.jp