Results Thirty-eight (71%) patients were satisfied with the

\n\nResults. Thirty-eight (71%) patients were satisfied with the outcome, 14 (26%) were not, and 1 was uncertain. Both satisfied and dissatisfied patients had no difference in baseline preoperative best-corrected visual acuity (BCVA;

6/60 and 6/60, respectively). There was also no significant difference in median postoperative BCVA between both groups (6/ 24 and 6/29, respectively, p = 0.6). In satisfied patients, median vision expectation score of 6 was equally similar to the median subjective postoperative vision improvement score of 6, p = 0.7. However, in dissatisfied patients, median vision expectation score (8) was significantly higher than ST-1571 Mesylate median postoperative subjective vision improvement score (1), p = 0.0001. The commonest reason for dissatisfaction was perceived visual reduction (7/14 patients).\n\nConclusions. In the dissatisfied patients, expectation was significantly higher, and subjective

assessment of vision after surgery was lower than in satisfied patients, although they had similar improvement GDC-0973 research buy in BCVA. Visual acuity and patient satisfaction are not always directly correlated. An important factor in patient satisfaction is expectation. (Optom Vis Sci 2011;88:312-316)”
“It has been observed that current pulses in corona-based atmospheric-pressure weakly ionized plasma can be synchronized between needles, dependent on the gap between the needles. This observation was made via a series of experiments utilizing a statistically significant number of current pulses at varying spacing between needles.”

advancement of network technology and the popularization of the Internet lead to increased interest in information recommendation. This paper proposes a group recommendation system that takes the preferences of group users in mobile environment and applies the system to recommendation of restaurants. The proposed system recommends the restaurants by considering various preferences of multiple users. To cope with the uncertainty in mobile environment, we exploit Bayesian network, which provides reliable performance and models individual user’s preference. Also, CUDC-907 mouse Analytical Hierarchy Process of multi-criteria decision-making method is used to estimate the group users’ preference from individual users’ preferences. Experiments in 10 different situations provide a comparison of the proposed method with random recommendation, simple rule-based recommendation and neural network recommendation, and confirm that the proposed method is useful with the subjective test.”
“Objective. Systemic lupus erythematosus (SLE) is a chronic inflammatory disease associated with aberrant immune cell function. Treatment involves the use of indiscriminate immunosuppression, which results in significant side effects.

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