• Journal of Veterinary Clinics
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• v.27 no.1
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• pp.50-54
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• 2010

This study was carried out to estimate the range of the hip score with 3 radiographic evaluation techniques and to identify the relationship among these methods in 71 Sapsarees (35 males and 36 females). Mean age of dogs was ranged from 4 to 73 months (averaged $24{\pm}18$ months). Hip joints were evaluated with OFA method, BVA/KC scoring scheme, and $PennHIP^{(R)}$ method. Hip joints were graded by the OFA grading system(only used for dogs over 24 month old age). The 64 joints evaluated were graded as good (17.2%), fair (46.9%), mild dysplastic (12.5%), moderate dysplastic (7.8%), and severe dysplastic (15.6%), respectively. In BVA/KC scoring scheme, the mean score of the 86 joints was recorded as $14.5{\pm}12.8$ (range from 2 to 52). The mean of Norberg angle in the 78 joints was $92.5{\pm}8.5$ degree (ranged from 63 to 110.5 degree). In $PennHIP^{(R)}$ method on the 126 joints, the mean DI was resulted as $0.60{\pm}0.16$ (ranged from 0.08 to 1.0). BVA/KC scores were gradually increased with age, positively correlated with OFA grade (r = 0.92, P < 0.001), but inversely proportional to Norberg angle (r = -0.79, P < 0.001). However, there was no correlation between BVA/KC and DI (r = 0.11). It was suggested that Sapsarees have high prevalence of cannine hip dysplasia, so selective breeding among sapsarees having normal hip joints might be necessary for preventing or controlling hip dysplasia.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.11
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• pp.60-66
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• 2011

LTE (Long Term Evolution) supports QoS (Quality of Service) with several service classes. For each class of traffic, a big difference exists on BER (Bit Error Rate) requirement. This leads to a considerable difference in transmission power for various classes of traffic. In this paper, a novel scheduler is designed and proposed for LTE which supports CoS (Class of Service) with the consideration of priority as well as target BER. By the CQI (Channel Quality Indicator) and QCI (QoS Class Identifier), a minimum transmission power is assigned from the target BER for each class of traffic per each user. Hence, with the other information such as user's used rate in the past and the priority of traffic, the probability of occupying channels is determined. The simulation results of Service Class scheduling are compared with that of Maximum Rate and Proportional Fair. The results show that the service class-aided scheduling can improve the throughput of whole system significantly.

• Korean Journal of Radiology
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• v.21 no.9
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• pp.1065-1076
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• 2020

Objective: To determine the prognostic value of MRI-based tumor regression grading (mrTRG) in rectal cancer compared with pathological tumor regression grading (pTRG), and to assess the effect of diffusion-weighted imaging (DWI) on interobserver agreement for evaluating mrTRG. Materials and Methods: Between 2007 and 2016, we retrospectively enrolled 321 patients (male:female = 208:113; mean age, 60.2 years) with rectal cancer who underwent both pre-chemoradiotherapy (CRT) and post-CRT MRI. Two radiologists independently determined mrTRG using a 5-point grading system with and without DWI in a one-month interval. Two pathologists graded pTRG using a 5-point grading system in consensus. Kaplan-Meier estimation and Cox-proportional hazard models were used for survival analysis. Cohen's kappa analysis was used to determine interobserver agreement. Results: According to mrTRG on MRI with DWI, there were 6 mrTRG 1, 48 mrTRG 2, 109 mrTRG 3, 152 mrTRG 4, and 6 mrTRG 5. By pTRG, there were 7 pTRG 1, 59 pTRG 2, 180 pTRG 3, 73 pTRG 4, and 2 pTRG 5. A 5-year overall survival (OS) was significantly different according to the 5-point grading mrTRG (p = 0.024) and pTRG (p = 0.038). The 5-year disease-free survival (DFS) was significantly different among the five mrTRG groups (p = 0.039), but not among the five pTRG groups (p = 0.072). OS and DFS were significantly different according to post-CRT MR variables: extramural venous invasion after CRT (hazard ratio = 2.259 for OS, hazard ratio = 5.011 for DFS) and extramesorectal lymph node (hazard ratio = 2.610 for DFS). For mrTRG, k value between the two radiologists was 0.309 (fair agreement) without DWI and slightly improved to 0.376 with DWI. Conclusion: mrTRG may predict OS and DFS comparably or even better compared to pTRG. The addition of DWI on T2-weighted MRI may improve interobserver agreement on mrTRG.