TASK DEFINITION: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
PROBLEM: Over the past several decades, significant advances have been made in identifying factors that contribute to the pathogenesis of multiple sclerosis (MS) and have culminated in the approval of some effective therapeutic strategies for disease intervention. However, the mechanisms by which environmental factors, such as infection, contribute to the pathogenesis and/or symptom exacerbation remain to be fully elucidated. Relapse frequency in MS patients contributes to neurological impairment and, in the initial phases of disease, serves as a predictor of poor disease prognosis. The purpose of this review is to examine the evidence that supports a role for peripheral infection in modulating the natural history of this disease. Evidence supporting a role for infection in promoting exacerbation in animal models of MS is also reviewed. Finally, a few mechanisms by which infection may exacerbate symptoms of MS and other neurological diseases are discussed. Those who comprise the majority of MS patients acquire approximately two upper-respiratory infections per year; furthermore, this type of infection doubles the risk for MS relapse, underscoring the contribution of this relationship as being potentially important and particularly detrimental.

SOLUTION: infection as an environmental trigger of multiple sclerosis disease exacerbation

PROBLEM: Being madly in love with all the advances in minimally invasive medicine and technology I often tell my friends the stories of how interventional radiology (IR) changes lives. One of these unintended stories led to a much bigger audience of TED community and spread the word about IR far beyond the circle of my friends. As the TED slogan promised, participating in the event 1 made me realize that our ideas of better medicine are worth sharing. It also made me think that better communication with the public is possible, and it does not take genius. It takes a willingness to try. We know that IR with its broad procedural spectrum, safety of minimally invasive approach, lower requirement for anesthesia and hospitalization, and cost-effectiveness has a strong stand in the evolving universal healthcare practice model. But, as Goethe said, knowing is not enough; we must apply. 2 Then, how can we as medical community increase the exercise of IR procedures? The starting point is to accept that many people, including medical professionals, do not know what diseases we can treat and what diagnostic or therapeutic services we can provide. Either it is a palliative treatment of metastases, or elective embolization of uterine fibroids, or emergent lysis of pulmonary embolism-it is our responsibility to find the appropriate patients and let both patients and primary physicians know what options we have to offer.

SOLUTION: Journal Pre-proof Guest Editorial: Radiology Nurses Can Raise the Impact on Promoting IR

PROBLEM: Sensor placement Markov matrix Set cover problem Indoor air quality Transmission of infectious diseases Chemical and biological warfare a b s t r a c t Air quality has been an important issue in public health for many years. Sensing the level and distributions of impurities help in the control of building systems and mitigate long term health risks. Rapid detection of infectious diseases in large public areas like airports and train stations may help limit exposure and aid in reducing the spread of the disease. Complete coverage by sensors to account for any release scenario of chemical or biological warfare agents may provide the opportunity to develop isolation and evacuation plans that mitigate the impact of the attack. All these scenarios involve strategic placement of sensors to promptly detect and rapidly respond. This paper presents a data driven sensor placement algorithm based on a dynamical systems approach. The approach utilizes the finite dimensional Perron-Frobenius (PF) concept. The PF operator (or the Markov matrix) is used to construct an observability gramian that naturally incorporates sensor accuracy, location constraints, and sensing constraints. The algorithm determines the response times, sensor coverage maps, and the number of sensors needed. The utility of the procedure is illustrated using four examples: a literature example of the flow field inside an aircraft cabin and three air flow fields in different geometries. The effect of the constraints on the response times for different sensor placement scenarios is investigated. Knowledge of the response time and coverage of the multiple sensors aides in the design of mechanical systems and response mechanisms. The methodology provides a simple process for place sensors in a building, analyze the sensor coverage maps and response time necessary during extreme events, as well as evaluate indoor air quality. The theory established in this paper also allows for future work in topics related to construction of classical estimator problems for the sensors, real-time contaminant transport, and development of agent dispersion, contaminant isolation/removal, and evacuation strategies.

SOLUTION:
A methodology for optimal placement of sensors in enclosed environments: A dynamical systems approach