Saddened, disappointed with unlawful behaviour of Govt

first_imgDear Editor,As a patriotic citizen of this wonderful country, I am extremely saddened, disappointed and utterly disgusted with the unlawful behaviour of this Government to date. Over and over, they are totally and blatantly disobeying the rule of law and our Constitution which is the backbone of any democratic country. The bald-faced lies that the President and his Ministers are telling in interviews and in the news media are insults to the citizens of this country and they should be ashamed of themselves.The final cold realisation that the House-to-House Registration process was a plan to “de-register” the voting populace of Guyana is a criminal act of the highest nature. This cold pre-meditated plan by the Government should be challenged by not only the Opposition but the citizens of this country whose constitutional rights to vote were almost taken away from them. We would have been the victims here if it were not for the brave acts and the tenaciousness of the few people who truly have this country at heart. And also the integrity that still exists in the Judiciary to deliver fair judgments.Mr Bharrat Jagdeo and his team should be honoured for the great service that they have provided to this nation in exposing and stopping this particular illegal and criminal practice orchestrated by the Government. Also, in bringing to light multiple other infidelities by this Government. The Chief Justice and Judiciary should also be praised for the fair judgments that the court has provided so far, as should all of the other participants who have boldly and fearlessly stood for the rule of law in these desperately needed times. Guyana is very grateful!On the other hand, Mr Granger and his Ministers should be charged in court for this criminal act of deliberately and soberly plotting to disenfranchise the good citizens of their constitutional right to vote – in particular. These Government officials should all be impeached and have their party’s names taken off the ballot. They are not eligible to rule or be considered as fit and proper to vie for the presidency of this great country ever again.Sincerely,Shane Lindielast_img read more

Researchers develop model to help control cascading events

first_img Examples of taking small actions to prevent a large catastrophe are numerous—workers at ski resorts commonly use dynamite to cause small landslides in the hopes of avoiding larger ones, is just one example. The problem with such efforts is that there is no scientific or mathematical basis for such actions. How do ski operators know that they are reducing risk; worse, how do they know that they’re not making things worse? Sadly, the current model is to use past experience, hunches, and sometimes prayer. In this new effort, the research team sought to create a computer model that could help control a complex system in a reproducible way. It’s all based on what’s known as the theory of self-organized criticality (SOC).The team began by reproducing the efforts of prior researchers where simulated grains of sand were used to create simulated mounds, along with simulated avalanches when critical points were reached. To better simulate the real world, the researchers created several mounds, all close enough to one another to be impacted by the others should they crumble. In so doing, the researchers studied the most important sand grain of all—the one that causes a mound to topple. Prior research had shown that the mounds organized themselves into critical states that could be described by power-law avalanche size distribution, which is what SOC describes. In this new model, the researchers assigned a variable to the probability of a given mound cascading if one more grain were added to it, then sought to control that variable. They found that by increasing or decreasing its value, cascades could be both initiated and avoided. By running the model with different values, the team found they were better able to study the dynamics of the entire system.The most interesting result they found was that sometimes if they tried too hard to suppress large avalanches by causing smaller ones, they were inadvertently increasing the chances of a large one happening anyway.While the researchers’ model is interesting, there is no clear evidence that suggests real-world events transpire as clearly as can be defined by a computer simulation. For that reason, much more work will have to be done before it’s known whether the new model might be used to help control real-world systems. Explore further Citation: Researchers develop model to help control cascading events (2013, August 19) retrieved 18 August 2019 from https://phys.org/news/2013-08-cascading-events.html Journal information: Physical Review Letters © 2013 Phys.org (Phys.org) —A team of researchers at the University of California has developed a model that might lead to a better way to control natural cascading events such as landslides, earthquakes, or even neural networks. In their paper published in the journal Physical Review Letters, the team describes how they expanded on prior research using simulated sand piles to develop statistical models for controlling complex cascading events.center_img Schematic representation of the sandpile model used by Noël et al. When one grain falls on top of a pile with three grains (a), the pile becomes unstable and topples. While toppling, all grains in the pile are evenly distributed among the four neighbors (b). The toppling cascades further as one neighboring pile becomes unstable (four grains) and also topples (c). Credit: APS/Alan Stonebraker Researchers discover midair collisions enhance the strength of sandstorms More information: Controlling Self-Organizing Dynamics on Networks Using Models that Self-Organize, Phys. Rev. Lett. 111, 078701 (2013)AbstractControlling self-organizing systems is challenging because the system responds to the controller. Here, we develop a model that captures the essential self-organizing mechanisms of Bak-Tang-Wiesenfeld (BTW) sandpiles on networks, a self-organized critical (SOC) system. This model enables studying a simple control scheme that determines the frequency of cascades and that shapes systemic risk. We show that optimal strategies exist for generic cost functions and that controlling a subcritical system may drive it to criticality. This approach could enable controlling other self-organizing systems. This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.last_img read more