The ability to anticipate the future is essential when making real time critical decisions, provides valuable information to understand dynamic natural scenes, and can help unsupervised video representation learning. State-of-art video prediction is based on complex architectures that need to learn large numbers of parameters, are potentially hard to train, slow to run, and may produce blurry predictions. In this paper, we introduce DYAN, a novel network with very few parameters and easy to train, which produces accurate, high quality frame predictions, faster than previous approaches. DYAN owes its good qualities to its encoder and decoder, which are designed following concepts from systems identification theory and exploit the dynamics-based invariants of the data. Extensive experiments using several standard video datasets show that DYAN is superior generating frames and that it generalizes well across domains.

Objective: In a post-hoc analysis of a multinational, randomized trial, we investigated whether the efficacy and safety of nifedipine gastrointestinal therapeutic system (GITS) and ramipril differed between Chinese and European patients with hypertension.Method: Previously treated (2-week washout) and untreated patients with hypertension were randomly assigned to treatment with nifedipine GITS 30 mg or ramipril 10 mg for 12 months, if they had elevated clinic (≧ 140/90 mmHg) and daytime (≧ 135/85 mmHg) ambulatory systolic/diastolic blood pressure (BP) and standard deviation of home (> 7 mmHg) and daytime systolic BP (> 12 mmHg). BP was measured at each of the clinic visits at baseline and during follow-up. Ambulatory and 7-day home BP monitoring were performed at baseline and 10 weeks and 12 months of follow-up. Results:The 67 Chinese and 101 European patients significantly differed in age (50.9 vs. 54.6 years), body mass index (24.5 vs. 27.0 kg/m2), clinic diastolic BP (87.9 vs. 92.5 mmHg), clinic heart rate (75.0 vs. 70.8 beats/minute) and nighttime diastolic BP (79.3 vs. 75.9 mmHg). However, within each ethnicity, patients were comparable between the nifedipine GITS and ramipril groups (P≧ 0.05). In both Chinese and European patients, BP was similarly reduced in the nifedipine GITS and ramipril groups, except that daytime systolic/diastolic BP reductions were 7.4/4.1 mmHg greater in the ramipril than nifedipine GITS group in Chinese (P = 0.02). The safety profile significantly (P for drug*ethnicity interaction ≦ 0.046) differed between the Chinese and European patients for the incidence of all adverse events (lower on nifedipine GITS in Chinese), ankle edema (higher on nifedipine GITS in Europeans) and dry cough (higher on ramipril in Chinese). Conclusion:In the Chinese and European patients with hypertension, nifedipine GITS and ramipril had similar BP lowering efficacy, but different safety profile and tolerability.

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The properties of the natural bio-sensors property as the fuel after treatment, is beneficial as most environmental friendly alternative. The Microbial fuel cell will help in bio electricity generation. To use them first it is important to know the stability and the characteristics of such organic compound. The papers present the first attempt study to perform the characteristic analysis of organic compounds of such properties using computational algorithms. The paper presents the computational method of assessment of stability and characteristics analysis of organic herbs i.e. Syzygium and Citrus. The Structural Similarity Index Method (SSIM) and Graph Comparison using their Coordinates (GCC) are implemented to determine the stability of the organic herbs in the real-time mode. The paper also presents the performance characteristics of the software algorithms and their comparative results to verify the outcomes of the herb characteristics using both methods.

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