Comparison of Numerical Schemes for LWR Model under Heterogeneous Traffic Conditions

First order macroscopic model like Lighthill-Whitham-Richards (LWR) has been extensively studied and applied for various homogeneous traffic problems. Applicability and adaptability of LWR models to various heterogeneous traffic conditions is still under exploration. Finding solutions for the macroscopic models using analytical methods is a complicated task, numerical approximations are used. The present study attempts to understand the suitability of different numerical schemes for a traffic conditions in detail. Various first order and second order numerical schemes were chosen for numerical integration. Derivation of the numerical scheme, several important issues like accuracy, stability and convergence of each scheme were discussed. Simulated variables like flow, density and speeds were compared with the original data collected from the two different urban arterials with and without bottlenecks in Delhi, India. The comparison of the results of various numerical schemes shows that Lax-Friedrichs and MacCormack schemes produced better results and more stable than the other schemes

Modelling Emergency Evacuation of Classroom with Different Age Profiles

Evacuation characteristics of pedestrians can be captured under two different conditions - one in immediate and another in non-immediate. The safe and quick evacuation of pedestrians from a building in any situation depends on pedestrian and building characteristics. Understanding the behaviour of pedestrians in emergency situations such as earthquake or fire accident helps in designing buildings for safe evacuation. In view of the limited research on this problem in the Indian subcontinent, this study aims to capture the pedestrian flow characteristics in emergency situations by conducting several experiments in a classroom environment. As a part of the experimental study, the students were instructed to behave as if they were in an emergency evacuation situation. Data was collected on pedestrians with different age profiles such as high school, under graduate and post graduate students considering various scenarios that includes different door widths. Several factors such as number of pedestrians, width of the door, average age of the pedestrians, Body Mass Index, proportion of females, number of students and classroom capacity are considered and their influence on evacuation characteristics was analysed. Based on the observations, an evacuation model has been developed using least square error method. Results show that the variables such as door width and number of students are crucial in representing evacuation time of the classroom. It was found that the relationship between total evacuation time (TET) and door width is represented by power function. This is contrast to the findings of existing literature which shows that the relationship between flow and door width is linear. Our results are best supported by the fact that the TET is exponentially varying with door width till a particular value and remains constant for further increase in door width which is realistic in nature. It is anticipated that the results of the study would provide guidelines to various agencies on managing evacuations. This can also lead to suggestions on optimization of layouts while designing various building access facilities in an academic environment

Characterization of resistant hypertension: Association between resistant hypertension, aldosterone, and persistent intravascular volume expansion

Background: Resistant hypertension is a common clinical problem and greatly increases the risk of target organ damage. Methods: We evaluated the characteristics of 279 consecutive patients with resistant hypertension (uncontrolled despite the use of 3 antihypertensive agents) and 53 control subjects (with normotension or hypertension controlled by using ≤2 antihypertensive medications). Participants were prospectively examined for plasma aldosterone concentration, plasma renin activity, aldosterone to renin ratio, brain-type natriuretic peptide, atrial natriuretic peptide, and 24-hour urinary aldosterone (UAldo), cortisol, sodium, and potassium values while adhering to a routine diet. Results: Plasma aldosterone (P < .001), aldosterone to renin ratio (P < .001), 24-hour UAldo (P = .02), brain-type natriuretic peptide (P = .007), and atrial natriuretic peptide (P = .001) values were higher and plasma renin activity (P = .02) and serum potassium (P < .001) values were lower in patients with resistant hypertension vs controls. Of patients with resistant hypertension, men had significantly higher plasma aldosterone (P = .003), aldosterone to renin ratio (P = .02), 24-hour UAldo (P < .001), and urinary cortisol (P < .001) values than women. In univariate linear regression analysis, body mass index (P = .01), serum potassium (P < .001), urinary cortisol (P < .001), urinary sodium (P = .02), and urinary potassium (P < .001) values were correlated with 24-hour UAldo levels. Serum potassium (P = .001), urinary potassium (P < .001), and urinary sodium (P = .03) levels were predictors of 24-hour UAldo levels in multivariate modeling. Conclusions: Aldosterone levels are higher and there is evidence of intravascular volume expansion (higher brain-type and atrial natriuretic peptide levels) in patients with resistant hypertension vs controls. These differences are most pronounced in men. A significant correlation between 24-hour urinary aldosterone levels and cortisol excretion suggests that a common stimulus, such as corticotropin, may underlie the aldosterone excess in patients with resistant hypertension

Modelling vehicular behaviour using trajectory data under non-lane based heterogeneous traffic conditions

The present study aims to understand the interaction between different vehicle classes using various vehicle attributes and thereby obtain useful parameters for modelling traffic flow under non-lane based heterogeneous traffic conditions. To achieve this, a separate coordinate system has been developed to extract relevant data from vehicle trajectories. Statistical analysis results show that bi-modal and multi-modal distributions are accurate in representing vehicle lateral placement behaviour. These distributions help in improving the accuracy of microscopic simulation models in predicting vehicle lateral placement on carriageway. Vehicles off-centeredness behaviour with their leaders have significant impact on safe longitudinal headways which results in increasing vehicular density and capacity of roadway. Another interesting finding is that frictional clearance distance between vehicles influence their passing speed. Analysis revealed that the passing speeds of the fast moving vehicles such as cars are greatly affected by the presence of slow moving vehicles. However, slow moving vehicles does not reduce their speeds in the presence of fast moving vehicles. It is also found that gap sizes accepted by different vehicle classes are distributed according to Weibull, lognormal and 3 parameter log logistic distributions. Based on empirical observations, the study proposed a modified lateral separation distance factor and frictional resistance factor to model the non-lane heterogeneous traffic flow at macro level. It is anticipated that the outcomes of this study would help in developing a new methodology for modelling non-lane based heterogeneous traffic

Correction to: Speed–density functional relationship for heterogeneous traffic data: a statistical and theoretical investigation

In the original publication, the unit of variable k j in Tables 4 and 7 has been incorrectly published as km/h. The correct unit of variable k j should be veh/h

Immunity-Boosting Metal Complexes

Emerging infectious illnesses and a growing number of multidrug-resistant microbiological pathogens combine to make the treatment of infectious diseases a significant and difficult challenge. Still, there are a lot of availability of antibiotics and chemotherapeutics for medical use and the rise of to both older and more recently developed antibiotics has increased dramatically during the last several decades. Antimicrobial drug development is urgently needed in the medical field. For the most part, people believe that they require the isolation of hitherto unknown chemicals having antibacterial properties, which may method of action that is different from those of established groups of antibacterial antibiotics, drugs, etc., against which many common infections have developed resistance in clinical settings

Mechanisms and treatment of resistant hypertension

Resistant hypertension is defined as blood pressure (BP) that remains uncontrolled in spite of the use of ≥3 antihypertensive medications. Stricter BP goals, higher obesity rates, older age, and increased use of exogenous BP-elevating substances are related to an increasing prevalence of resistant hypertension. The evaluation of patients with resistant hypertension is focused on identifying contributing and secondary causes of hypertension, including hyperaldosteronism, obstructive sleep apnea, chronic kidney disease, renal artery stenosis, and pheochromocytoma. Hyperaldosteronism is now recognized as the most common cause of resistant hypertension, and all patients with resistant hypertension should be screened with a plasma aldosterone/renin ratio even if the serum potassium level is normal. Treatment includes removal of contributing factors, appropriate management of secondary causes, and use of effective multidrug regimens. Recent studies indicate that the addition of spironolactone to standard treatment induces significant BP reduction in most patients with resistant hypertension