False News Recognition Using Machine Learning

In these modern times where internet has become widely popular and used by almost everyone, anyone can share or upload articles without any credibility. False news refers to articles that are published with the intent of deliberately misleading readers. In the recent times false news on internet has become more and it has become a major problem as it is difficult to differentiate between the real and the false news. False news and false posts have become more prevalent on social media sites such as Face book and Twitter. From these platforms the news will be spread like wild fire without any authenticity. It can be used to sway election outcomes against certain candidates, can be used for click baiting purposes, and can be used to earn revenue by misleading the users. In this paper we will use natural language processing techniques like bag of words and TD-IDF and machine learning concepts of classification algorithms like SVM and passive aggressive classifier to train our machine to differentiate false news from real news and we will compare the accuracy of methods used to find accurate model.

Pyro Geography and Indian Quest during Anthropocene to COVID-19

Taming fire by homosapiens was one of the foremost technological advancement in the history of evolution. The homosapiens tried to tame the wild fire by locating, preserving, using as tools for hunt game, food preparation, rituals and religion, and protecting them from predators. The modern men in Anthropocene in Pyroxene period, the fire have been used for domestic, industrial, and pioneering researches to concur the earth. The type of ignition to our vast deciduous forests can be natural, accidental, out of negligence, deliberate, incendiary, agriculture purposes, resource collection, and at times cultural. Present assessment embraces the changes that occurred in the wildfire due to weather-related and anthropogenic ignited. The wild fire deaths in towns, factories and mines have been reduced for the last six years. But during the pandemic COVID-19 under the locks, shutdowns and curfews, the numbers of crowdie and industrial fires in India has abridged, but dependence on forest products for livelihood by the aboriginal people and global warming had increased numbers of forest fire in India. There are also increased electrocution fatalities in different hospitals in India due to oxygen enriched surroundings during the present Pandemic.

Comment on “Isotopic evidence for dominant secondary production of HONO in near-ground wildfire plumes.”

Chai et al. recently published measurements of wild fire (WF) derived oxides of nitrogen (NOx) and nitrous acid (HONO) and their isotopic composition. The method used to sample NOx, collection in alkaline solution, has a known 1:1 interference from another reactive nitrogen compound, acetyl peroxynitrate (PAN). Although PAN is thermally unstable, subsequent reactions with nitrogen dioxide (NO2) in effect extend the lifetime of PAN many times longer than the initial decomposition reaction would indicate. This, coupled with the rapid and efficient formation of PAN in WF plumes, means the NOx measurements reported by Chai et al. were severely impacted by PAN. In addition, the model reactions in the original paper did not include the reactions of NO2 with hydroxyl radical (OH) to form nitric acid, nor the efficient reaction of larger organic radicals with nitric oxide to form organic nitrates (RONO2).

Determining Building Natural Ventilation Potential via IoT-Based Air Quality Sensors

Natural ventilation (NV) represents the most energy-efficient way to operate buildings and, in an attempt to reduce the built environment's global carbon footprint, represents a resource, the usage of which has to be maximized. This study demonstrated how a combination of an IoT environmental sensing network implemented locally outdoors and indoors can help to determine the NV potential and actual utilization throughout the year with the consideration of outdoor climate variance, air pollution levels, and window open/closed status. An NV potential index was developed by analyzing indoor and outdoor PM2.5, and outdoor air temperature and air speed throughout the year at different spatial (from room scale to building level and local weather stations) and temporal (instantaneous, season, and annual) scales. The index was applied on a case building located in Berkeley, California, during the period of August 2018 to the end of 2019. Compared to the potential NV availability, the actual window opening time in typical rooms was less than 35%. These results point out that the actual window usage behavior was the key limiting factor in NV potential utilization. Even during periods when climate- and pollution-wise outdoor conditions allowed use of the NV, many occupants kept their windows closed. Keeping windows open or closed was significantly affected by outdoor climate condition and air pollution levels, especially during the wild-fire period.

Without Authority: Kierkegaard’s Resistance to Patriarchy

The phrase, “Without Authority,” is used so frequently by Kierkegaard that it becomes a kind of signature; yet it remains little understood. I argue that the phrase works to resist patriarchal, top-down, institutionally sanctioned authority: the authority of “direct” communication. Kierkegaard is not alone in contesting the tyranny of patriarchy: another tyranny—of anonymity, of the crowd—threatens to do away with patriarchal authority too, and with it all authority, all communication. Kierkegaard’s “without authority” defies patriarchy and does so at the risk of this wild-fire destruction, for the sake of a different communication that might yet be possible.

COVID-19 AND TOURISM

With the outbreak of the novel coronavirus (COVID-19), the whole world has been in a total shutdown. It came out as a challenge to just not some specific countries of continents, but to the entire planet. With no preparation for such type of pandemic and the time and effort required to come up with a fully functional and tested vaccine, the planet went down on its knees. Non pharmaceutical methods were the first aid for the outbreak. Unprecedented country wide lockdowns, stay at home decisions, closure of global as well as local travel, closure of public gatherings greatly disrupted the world economy. International travel bans were the first to be practiced which roughly affected 100% of the world population. With restrictions on public gatherings and movement of people, tourism came to a stand-still in March-April 2020. By this time, COVID-19 had reached most of the countries and the virus was spreading like wild fire.

Studying uncertainty in LUT-based aerosol retrieval employing Bayesian statistical approach applied to TROPOMI/S5P measurements

<p>In this presentation we consider uncertainty in Look-up table (LUT) based technique for retrieving aerosol optical depth (AOD) and aerosol type using TROPOMI/S5P measurements.<br>The LUTs are multi-dimensional tables containing aerosol microphysical properties and they have been constructed using libRadtran simulations. <br>Especially we study difficulty in aerosol microphysical model selection that reflects the retrieval uncertainty. As a source of uncertainty we have also acknowledged so called model discrepancy originating from imperfect forward modeling. <br>The methodology considered is based on Bayesian inference where the retrieved AOD estimate is given as maximum a posterior (MAP) value and uncertainties are described as posterior density functions. We have also combined statistically the most appropriate aerosol microphysical models by Bayesian model averaging when the selection of single best-fitting model is not clear.<br>The motivation is to consider difficulty in aerosol model selection and obtain realistic uncertainty estimates.<br>We have applied this methodology to OMI/Aura measurements in our earlier studies. Here we present results when used higher resolution measurements from TROPOMI/S5P and studied the methodology covering various aerosol conditions including wild fire and dust events.</p>

Examining The Ravaging (Covid 19) And Its Implications For Educational Institutions On A Global Perspective

The study examined the ravaging COVID-19 pandemic and its implications for educational institutions on a global perspective. COVID-19 outbreak occurred in Wuhan City, China at the twilight of the year 2019 and spread like wild fire to other countries. Globally, over eight million people have been infected with the coronavirus, over four million people recovered and more than half a million deaths recorded due to the COVID-19 pandemic. The disease was so dreadful that various nations adopted the lockdown measure to forestall further spread. Consequently, educational institutions at all levels were shut-down along-side other sectors. Corollary to the above, it was found that the academic calendar would be affected; international students’ enrolment might reduce; schools that depend more on foreign students for funding may experience a down-turn during the period of COVID-19 outbreak; schools may not be able to be liberal with their financial aid offerings; private school owners may find it difficult to pay the salaries of their employees during the period of the ravaging COVID-19 pandemic. It was however, recommended that schools should source revenue through entrepreneurial practices; the government of each country should allocate 26% of her annual budget to education sector; tuition fee for international students should be cut down by at least 20%; World Health Organization (WHO) should sponsor more research towards getting a vaccine for COVID-19.

Health care workers in wake of COVID-19 era

By the end of December 2019 clusters of mysterious pneumonias were reported in Wuhan, capital city of Hubei province, China which was later diagnosed to be caused by a novel corona virus. This virus belongs to a large family of Corona viruses which caused diseases like SARS and MERS in the past. It is is now named as SARS-CoV-2 virus causing a disease named as COVID-19.1, 2 Within months this highly contagious abysmal virus spread like wild fire across multiple continents. Finally COVID-19 was declared a pandemic by World health organization (WHO) by mid of March, 2020.3