In Their Shoes: Understanding and Experiencing International Students\u27 Social, Cultural, and Academic Lives

GSU welcomes international peers and assures that their backgrounds and experiences matter. Our continued efforts in ongoing dialogue and reflections of our practices are crucial. Through this symposium, participants have opportunities to: gain theoretical and practical understandings of the experiences of their international peers on campus through expert presentations, experience sharing, and table discussions start or continue a dialogue to create a fully diverse and global campus culture beyond merely acknowledging the presence of international students, staff and faculty on campu

A Universal Two-Dimensional Source Coding by Means of Subblock Enumeration

The technique of lossless compression via substring enumeration (CSE) is a kind of enumerative code and uses a probabilistic model built from the circular string of an input source for encoding a one-dimensional (1D) source. CSE is applicable to two-dimensional (2D) sources, such as images, by dealing with a line of pixels of a 2D source as a symbol of an extended alphabet. At the initial step of CSE encoding process, we need to output the number of occurrences of all symbols of the extended alphabet, so that the time complexity increases exponentially when the size of source becomes large. To reduce computational time, we can rearrange pixels of a 2D source into a 1D source string along a space-filling curve like a Hilbert curve. However, information on adjacent cells in a 2D source may be lost in the conversion. To reduce the time complexity and compress a 2D source without converting to a 1D source, we propose a new CSE which can encode a 2D source in a block-by-block fashion instead of in a line-by-line fashion. The proposed algorithm uses the flat torus of an input 2D source as a probabilistic model instead of the circular string of the source. Moreover, we prove the asymptotic optimality of the proposed algorithm for 2D general sources

Compression by Substring Enumeration Using Sorted Contingency Tables

This paper proposes two variants of improved Compression by Substring Enumeration (CSE) with a finite alphabet. In previous studies on CSE, an encoder utilizes inequalities which evaluate the number of occurrences of a substring or a minimal forbidden word (MFW) to be encoded. The inequalities are derived from a contingency table including the number of occurrences of a substring or an MFW. Moreover, codeword length of a substring and an MFW grows with the difference between the upper and lower bounds deduced from the inequalities, however the lower bound is not tight. Therefore, we derive a new tight lower bound based on the contingency table and consequently propose a new CSE algorithm using the new inequality. We also propose a new encoding order of substrings and MFWs based on a sorted contingency table such that both its row and column marginal total are sorted in descending order instead of a lexicographical order used in previous studies. We then propose a new CSE algorithm which is the first proposed CSE algorithm using the new encoding order. Experimental results show that compression ratios of all files of the Calgary corpus in the proposed algorithms are better than those of a previous study on CSE with a finite alphabet. Moreover, compression ratios under the second proposed CSE get better than or equal to that under a well-known compressor for 11 files amongst 14 files in the corpus

Spirulina Effectiveness Study on Child Malnutrition in Zambia

Ensuring adequate nutrition among vulnerable children has been a serious challenge in Zambia. Chronic child malnutrition is more predominant at 45 per cent while underweight and wasting are at 15 and 5 per cent respectively. This study tested the effectiveness of spirulina on malnourished children in Zambia. The study took place from June 2012 to February 2013. Sixty children were divided into spirulina treatment and control groups. The outcome of taking spirulina was analysed by collecting anthropometric data. The fixed-effect regression result showed that 10g of spirulina dairy intake leads to improvement by producing 0.29 higher points in the height-for-age z-score (HAZ); confidence interval (CI)[0.0404, 0.535]. On the contrary, the weight-for-age z-score (WAZ) and the mid-upper arm circumference z-score (MUACZ) did not show a significant difference, although treated children showed a larger improvement by 0.09 points and 0.38 points, respectively. This study implied the validity of spirulina in reducing chronic malnutrition