Multiple sclerosis, a treatable disease

This article reviews our current understanding and modern treatment of multiple sclerosis (MS). MS is a disabling condition resulting in devastating social and economic impacts. As MS can affect any part of the central nervous system, the presentation is often diverse; however, there are key features that can be useful in the clinic. We comment on the diagnostic criteria and review the main subtypes of MS, including clinically isolated syndrome, relapsing remitting MS, secondary progressive MS and primary progressive MS. Although the underlying aetiology of MS is still not known, we summarise those with most evidence of association. Finally, we aim to present treatment strategies for managing the acute relapse, disease-modifying therapies and MS symptoms. This review highlights that progressive MS is an area where there is currently a paucity of available disease-modifying treatments and this will be a major focus for future development

A Framework for Sequential Planning in Multi-Agent Settings

This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state space. Agents maintain beliefs over physical states of the environment and over models of other agents, and they use Bayesian updates to maintain their beliefs over time. The solutions map belief states to actions. Models of other agents may include their belief states and are related to agent types considered in games of incomplete information. We express the agents autonomy by postulating that their models are not directly manipulable or observable by other agents. We show that important properties of POMDPs, such as convergence of value iteration, the rate of convergence, and piece-wise linearity and convexity of the value functions carry over to our framework. Our approach complements a more traditional approach to interactive settings which uses Nash equilibria as a solution paradigm. We seek to avoid some of the drawbacks of equilibria which may be non-unique and do not capture off-equilibrium behaviors. We do so at the cost of having to represent, process and continuously revise models of other agents. Since the agents beliefs may be arbitrarily nested, the optimal solutions to decision making problems are only asymptotically computable. However, approximate belief updates and approximately optimal plans are computable. We illustrate our framework using a simple application domain, and we show examples of belief updates and value functions

Diagnosing faults in autonomous robot plan execution

A major requirement for an autonomous robot is the capability to diagnose faults during plan execution in an uncertain environment. Many diagnostic researches concentrate only on hardware failures within an autonomous robot. Taking a different approach, the implementation of a Telerobot Diagnostic System that addresses, in addition to the hardware failures, failures caused by unexpected event changes in the environment or failures due to plan errors, is described. One feature of the system is the utilization of task-plan knowledge and context information to deduce fault symptoms. This forward deduction provides valuable information on past activities and the current expectations of a robotic event, both of which can guide the plan-execution inference process. The inference process adopts a model-based technique to recreate the plan-execution process and to confirm fault-source hypotheses. This technique allows the system to diagnose multiple faults due to either unexpected plan failures or hardware errors. This research initiates a major effort to investigate relationships between hardware faults and plan errors, relationships which were not addressed in the past. The results of this research will provide a clear understanding of how to generate a better task planner for an autonomous robot and how to recover the robot from faults in a critical environment

A proposed increase in retinal field-of-view may lead to spatial shifts in images

Visual information determines majority of our spatial behavior. The eye projects a 2-D image of the world on the retina. We demonstrate that when a monocular-like imaging system operates entirely with optically dense fluids, an increase in field-of-view (FOV) is observed compared to an experimental condition, where the ocular medium is optically neutral. Resulting spatial shifts in the retinal image towards the fovea complement the photoreceptor distribution pattern, incidentally revealing a new role for ocular fluids in the image space. Possible effects on the perceived egocentric object location are discussed.Comment: 13 pages, 2 figures, 1 tabl

Swine flu awareness in pregnancy

Background: Swine influenza outbreaks are common in pigs year-round and infection in humans is a result of close contact with infected animals. Understanding the perception of the public and their potential resources would help public health agencies in developing educational programs to increase the awareness of the public. The objective of this study was to assess the knowledge, attitude and practices on different aspects of swine flu.Methods: A cross-sectional study of 100 pregnant women was conducted at Varun Arjun Medical College, Banthara, Shahjahanpur, Uttar Pradesh, India to test their knowledge, attitudes, and use of precautionary measures against influenza infection.Results: In this study, 98 (98%) of pregnant women were aware of swine flu infection, 85 (85%) of pregnant women knew that swine flu is due to viral infection while 65 (65%) of pregnant women were aware that swine flu infection spreads through air while sneezing and coughing. In this study, 95 (96%) of pregnant women knew fever as symptom of swine flu, 83 (83%) of pregnant women knew cough and cold as symptoms while 64 (64%) of pregnant women knew headache and body ache as symptoms. 94 (94%) of pregnant women were aware that vaccination against swine flu can prevent swine flu infection. 80 (80%) of pregnant women knew that covering mouth and nose while coughing and sneezing can prevent spread of swine flu infection while 52 (52%) of pregnant women knew that frequent hand washing helps in preventing spread of swine flu infection. 76 (76%) of pregnant women received vaccination against swine flu while 24 (24%) of pregnant women did not receive vaccination against swine flu.Conclusions: Learning more about the knowledge, attitudes, and behaviors of the public during swine flu and other infectious disease outbreak can be crucial to improve efforts by public health officials and clinicians