Frosting Weights for Better Continual Training

Training a neural network model can be a lifelong learning process and is a computationally intensive one. A severe adverse effect that may occur in deep neural network models is that they can suffer from catastrophic forgetting during retraining on new data. To avoid such disruptions in the continuous learning, one appealing property is the additive nature of ensemble models. In this paper, we propose two generic ensemble approaches, gradient boosting and meta-learning, to solve the catastrophic forgetting problem in tuning pre-trained neural network models

Development of a Methodology to Evaluate Environmental Implications of Lean Implementation

While much research has confirmed the effectiveness of lean manufacturing in improving manufacturing productivity, far less work has focused on the impact of lean implementation on the different measures of environmental performance. More notably, there remains much to be understood about the complex relationship between lean manufacturing principles and their overall environmental impacts. The purpose of this research is to develop a multi-phase methodology to assist practitioners in evaluating overall environmental impacts associated with implementation of various lean manufacturing principles. This knowledge would then allow practitioners to design and analyze manufacturing systems for both productivity and environmental concerns. A case study has also been developed to illustrate the application of this methodology for chip-forming processes using single and/or multi-point cutting tools

A study of factors affecting s-methyl cysteine sulphoxide content of kale (Brassica oleracea)

Factors affecting S- methyl cysteine sulphoxide (SMCO) content in Maris Kestrel kale were studied in field and glasshouse trials. SMCO is responsible for kale anaemia in ruminants.Higher plant populations reduced whole plant and stem SMCO in six trials, especially at harvests after October. Increasing plant density from 10 to 80 plants /m2 reduced whole plant SMCO in November or December by approximately 25 %.Nitrogen (N) fertiliser increased SMCO and dry matter (DM) yields in six out of seven trials, with SMCO increases ranging from 8 to 68% depending on soil fertility.There was a high correlation between SMCO (Y) and N (x) levels in mature kale from different sites (r = 0.92, n =26) . Using the relationship Y = 7.53x - 3.20, plant N could be measured as an estimate of the SMCO level.On free draining soils low in available sulphate at sowing (<12 ppm) applied sulphur (S) increased SMCO in two out of six trials, although only at early autumn harvests. On a soil with impeded drainage (sulphate = 12.5 ppm), S tended to increase (P <0.10) SMCO at a December harvest.As the crop aged, SMCO increased especially in leaves. This was not caused by frosting, but may have been affected by floral initiation, as stems with small inflorescences had higher (P <0.05) SMCO levels than non -flowering stems.July sown kale had less SMCO than June sown kale in September, but tended to have more SMCO in November, especially at higher populations and particularly in stems.SMCO was not affected by varying growing temperature ( -6 to 15°C) , moisture availability, chopping or wilting for 96 hours.Chrysol (13.1 g /kg DM) tended to have a higher SMCO content than Canson, Maris Kestrel, Merlin, Vulcan or Bittern (mean = 9.2 g /kg DM) . The lower yielding cultivars, Chrysol and Canson, contained most of their SMCO in leaf tissue. SMCO varied in different plant components, with SMCO in petioles having the highest correlation with whole plant SMCO (r = 0.73, n =8 and 18) .Near infrared reflectance (NIR) analysis accurately predicted N and moisture contents in different kale tissue types, with correlation coefficients (r) >0.95 between NIR predicted and Kjeldahl N or oven - dried moisture values. SMCO was only predicted satisfactorily by NIR for plant breeding purposes in entire leaves and young leaves, which had average standard errors of 2.3 and 1.7 respectively and correlations between SMCO values predicted by NIR and the autoanalysis method of r = 0.87 to 0.91. In stems and whole plants, which had average standard errors of 2.9 and 3.9 respectively and correlations (r) ranging from 0.69 to 0.84, NIR could only be used to separate low and high SMCO samples

The B-G News May 14, 1968

The BGSU campus student newspaper May 14, 1968. Volume 52 - Issue 104https://scholarworks.bgsu.edu/bg-news/3213/thumbnail.jp

Parallel Courses: Poetry and essays

Parallel Courses is a creative work consisting of poetry and personal essays. The writing examines the ontology of the self, discovering and explaining the reality of the self through time and change. The major themes explored include how past experiences enhance and inhibit present relationships, both with the self and with others, and the struggle for identity in both the singular and plural sense within our relationships and lives. The writing searches to find a balance between the ties to one\u27s history and the desires of one\u27s present