OVERVIEW OF RANDOMIZED CONTROLLED TRIALS

Randomized controlled trials are considered to be the gold standard in clinical studies to establish level of evidence in medical research. But, they are not easy to conduct and various other aspects have to be looked into. Randomization offers each enrolled subject equal chance of being allocated to the intervention and the control groups. Randomized control trial (RCT) is most powerful tool in clinical research. In this, subjects  are assigned to different groups of interventions by chance for comparison. RCT is only study design which can help us evaluate a new treatment.  By assigning participants to different intervention groups by chance, comparison between the interventions groups is made. Purpose of randomization is to make the treatment groups comparable, eliminates the source of and it ensures that the difference in groups is only due to trial treatments. In this article, we review randomized control trial with special emphasis on various types of randomized controlled trials, their characteristics, the process of randomization, and advantages and drawbacks of randomized controlled trials.   Key words:Randmized controlled trials, study design, randomization, clinical researc

Crossing the Midline Roles and Regulation of Robo Receptors

AbstractIn the Drosophila CNS, the midline repellent Slit acts at short range through its receptor Robo to control midline crossing. Longitudinal axons express high levels of Robo and avoid the midline; commissural axons that cross the midline express only low levels of Robo. Robo levels are in turn regulated by Comm. Here, we show that the Slit receptors Robo2 and Robo3 ensure the fidelity of this crossing decision: rare crossing errors occur in both robo2 and robo3 single mutants. In addition, low levels of either Robo or Robo2 are required to drive commissural axons through the midline: only in robo,robo2 double mutants do axons linger at the midline as they do in slit mutants. Robo2 and Robo3 levels are also tightly regulated, most likely by a mechanism similar to but distinct from the regulation of Robo by Comm

Autonomy Software Architecture for LORAX (Life On ice Robotic Antarctic eXplorer)

LORAX is a robotic astrobiological study of the ice field surrounding the Carapace Nunatak near the Allan Hills in Antarctica. The study culminates in a l00km traverse, sampling the ice at various depths (from surface to 10cm) at over 100 sites to survey microbial ecology and to record environmental parameters. The autonomy requirements from LORAX are shared by many robotic exploration tasks. Consequently, the LORAX autonomy architecture is a general architecture for on-board planning and execution in environments where science return is to be maximized against resource limitations and other constraints

Multi-Target Single Cycle Instrument Placement

This presentation is about the robotic exploration of Mars using multiple targets command cycle, safe instrument placements, safe operation, and K9 Rover which has a 6 wheel steer rocket-bogey chassis (FIDO, MER), 70% MER size, 1.2 GHz Pentium M laptop running Linux OS, Odometry and compass/inclinometer, CLARAty architecture, 5 DOF manipulator w/CHAMP microscopic camera, SciCams, NavCams and HazCams

Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes

© 2017 Wong et al.; Published by Cold Spring Harbor Laboratory Press. Complementing genome sequence with deep transcriptome and proteome data could enable more accurate assembly and annotation of newly sequenced genomes. Here, we provide a proof-of-concept of an integrated approach for analysis of the genome and proteome of Anopheles stephensi, which is one of the most important vectors of the malaria parasite. To achieve broad coverage of genes, we carried out transcriptome sequencing and deep proteome profiling of multiple anatomically distinct sites. Based on transcriptomic data alone, we identified and corrected 535 events of incomplete genome assembly involving 1196 scaffolds and 868 protein-coding gene models. This proteogenomic approach enabled us to add 365 genes that were missed during genome annotation and identify 917 gene correction events through discovery of 151 novel exons, 297 protein extensions, 231 exon extensions, 192 novel protein start sites, 19 novel translational frames, 28 events of joining of exons, and 76 events of joining of adjacent genes as a single gene. Incorporation of proteomic evidence allowed us to change the designation of more than 87 predicted noncoding RNAs to conventional mRNAs coded by protein-coding genes. Importantly, extension of the newly corrected genome assemblies and gene models to 15 other newly assembled Anopheline genomes led to the discovery of a large number of apparent discrepancies in assembly and annotation of these genomes. Our data provide a framework for how future genome sequencing efforts should incorporate transcriptomic and proteomic analysis in combination with simultaneous manual curation to achieve near complete assembly and accurate annotation of genomes

Uncharted waters: rare and unclassified cardiomyopathies characterized on cardiac magnetic resonance imaging

Cardiac magnetic resonance imaging (CMR) has undergone considerable technology advances in recent years, so that it is now entering into mainstream cardiac imaging practice. In particular, CMR is proving to be a valuable imaging tool in the detection, morphological assessment and functional assessment of cardiomyopathies. Although our understanding of this broad group of heart disorders continues to expand, it is an evolving group of entities, with the rarer cardiomyopathies remaining poorly understood or even unclassified. In this review, we describe the clinical and pathophysiological aspects of several of the rare/unclassified cardiomyopathies and their appearance on CMR

The Dynamic and Stochastic Knapsack Problem with Deadlines

In this paper a dynamic and stochastic model of the well-known knapsack problem is developed and analyzed. The problem is motivated by a wide variety of real-world applications. Objects of random weight and reward arrive according to a stochastic process in time. The weights and rewards associated with the objects are distributed according to a known probability distribution. Each object can either be accepted to be loaded into the knapsack, of known weight capacity, or be rejected. The objective is to determine the optimal policy for loading the knapsack within a fixed time horizon so as to maximize the expected accumulated reward. The optimal decision rules are derived and are shown to exhibit surprising behavior in some cases. It is also shown that if the distribution of the weights is concave, then the decision rules behave according to intuition. Keywords: dynamic programming, sequential stochastic resource allocation This research was supported by the National Science Foundati..