Oil sectorThe World Bank Group approved a US$35 million Development Policy Credit to support Guyana’s efforts to strengthen the financial sector development and fiscal management to better prepare the country to benefit from its newly-discovered oil and gas reserves and transform its oil wealth into human capital.“This financing provides critical support to our reform agenda and efforts to strengthen institutions and build a resilient economy that is capable of withstanding both external and domestic shocks. These reforms will be key to guide the management of oil revenues for the benefit of present and future generations,” Finance Minister Winston Jordan is quoted as saying in a release from the World Bank.While currently nearly one in four people in Guyana live in poverty, experts estimate that the Gross Domestic Product (GDP) will surge when commercial production of the newly-discovered oil and gas begins. In response, the Government has embarked on a series of reforms to diversify the economy and turn oil windfalls into human development and sustainable growth in the long term.“Guyana is making important strides to promote financial resilience and improve fiscal management, and has embarked on a broad-based reform programme,” World Bank Country Director for the Caribbean, Tahseen Sayed said. “These reforms will be key to build a strong economy that is underpinned by a strategic management of public resources for the benefit of the Guyanese people.”This financing focuses on strengthening financial stability and enabling sound financial development to promote macroeconomic stability and long-term growth. In particular, it will support banking reforms and depositor protection, the establishment of a deposit insurance scheme, implementation of a new insurance law, and the country’s anti-money laundering efforts.This Development Policy Credit, the first of a series of two programmatic financial and fiscal development policy credits, is financed from the International Development Association (IDA).
Toyota Glanza launch on June 6; here is everything you need to know about the upcoming premium hatchback
Toyota will launch its new premium hatchback Glanza in India on June 6. Toyota Glanza, which is based on Maruti Suzuki Baleno, will be the maiden product from the Toyota-Suzuki collaboration in the country.Apart from Baleno, Maruti Suzuki Vitara Brezza will also be introduced in India with a Toyota badge. The production of the country’s largest selling compact SUV will begin in 2022 at Toyota Kirloskar Motor.In January 2019, Maruti Suzuki India had introduced Baleno facelift and Glanza takes a major cue from the updated premium hatchback. Below are all the important details about Toyota Glanza you need to know. Toyota Glanza is based on Maruti Suzuki Vitara Brezza. (Photo courtesy: Team-BHP)Toyota Glanza ExteriorsFrom the outside, Glanza looks almost like Baleno. The front fascia is the same, barring the grille that has a Toyota badge. There are LED projector headlamps with DRLs. Below the grille, you see the air dam, which is flanked by the fog lamp housings on both sides. Although the alloy wheels have been borrowed from Baleno, there is a Toyota badging in them. Also, the rear of both the cars looks identical with similar tail lamp design.Toyota Glanza InteriorsThere is no change inside the cabin as well. The only difference is that the steering wheel has a Toyota badge. However, the cabin of Glanza is spacious, as is the case with Maruti Suzuki Baleno. There will be a touchscreen infotainment system with Android Auto and Apple CarPlay compatibility.Toyota Glanza RivalsThe upcoming Toyota Glanza will take on the likes of Maruti Suzuki Baleno, Hyundai i20, Honda Jazz and soon to be launched Tata Altroz.advertisementToyota Glanza EngineThe 1.2-litre VVT petrol engine powering Baleno is expected to feature in Glanza as well. This BS-VI (BS6) compliant motor produces 84 bhp and 115 Nm of torque and is offered with a 5-speed manual gearbox, with an option for a CVT. For other engine-related details, we will have to wait until the launch.Toyota Glanza VariantsExpectations are that Toyota Glanza will be launched in V and G variants. These two trims might get the features that are available with Alpha and Zeta trims of Baleno.Toyota Glanza Expected PriceThe upcoming Toyota Glanza might be priced between Rs 7 lakh (ex-showroom) and Rs 9 lakh (ex-showroom). The exact prices will be announced at the launch.ALSO READ | Hyundai Venue receives over 17,000 bookingsALSO READ | PM Narendra Modi holds Varanasi roadshow in stylish Land Rover Range Rover Vogue: Know all about this SUVALSO READ | Maruti Suzuki Vitara Brezza Sports Limited Edition launched
According to expert Juan Arturo del Azar, he believes pilot David Ibbotson suffered from “spatial disorientation.”Spatial disorientation is defined as the inability of a pilot to correctly interpret aircraft attitude, altitude or airspeed in relation to the Earth or other points of reference.And for flying expert Juan Arturo Del Azar, the cause of the crash of a light aircraft in the English Channel carrying Argentinean footballer Emiliano Sala and English pilot David Ibbotson could be just that.“As in any investigation we can only speculate on what has been published until there’s official information,” Juan Arturo Del Azar was quoted by The Express.“But everything so far indicates there was an operation that should never have existed and a pilot who was not qualified to fly in the conditions there were that night.””The bulk of the plane was on the seabed and very few things were missing.” David Mearns, who led the privately-funded search for the plane that was carrying Emiliano Sala, explains how his team found and identified the wreckage pic.twitter.com/yEtnglCGlG— ZooM Harare (@ZoomHarare) February 5, 2019“What we know is that the pilot ‘requested descent’ on passing Guernsey,” he added.“I’ve flown that same route at least 400 times. It’s a crossing over water.”“The reason for requesting a descent, according to the aviation community, was because the plane was accumulating ice,” he explained.“But the information we have now is that this pilot was not authorized to fly with instruments.”AAIB responds to Sala’s family request to recover the plane’s wreckage Manuel R. Medina – August 14, 2019 The Air Accidents Investigation Branch says they already explained their decision not to recover the plane’s wreckage to Sala’s family and the pilot’s.“If that is the case, it could be a lot simpler. It could simply be a case of being in a cloud, not knowing how to fly with instruments and suffering what is called spatial disorientation,” Del Azar continued.“There’s a well-known incident, that of John Kennedy Jr, in which that happened.”“When a person is in a cloud and looks out of the window, they are disorientated. Then they have to know how to fly the plane looking just at the instruments,” he added.“If the information is correct and this pilot wasn’t qualified to fly with instruments, yes, there could have been ice.”“Your body sends you erroneous signals at that point. Your body tells you the plane is rising and the plane is falling and vice-versa,” the expert commented.“At that point, the only thing that is valid are the instruments. It’s something that’s very routine but it’s something for which a pilot must have a license and training.”“At night-time, everything is much more complicated. Ninety-five percent of accidents are human errors, errors by the pilot or maintenance errors. It’s not the planes’ fault. At times there are faults but they are a tiny minority, three to four percent,” he concluded.Emiliano Sala’s sister shared this photo yesterday of his dog still waiting for him to return…’Nala also waits for you’This is absolutely gutting 😔😔😔 pic.twitter.com/sV96ql2xnH— Footy Accumulators (@FootyAccums) February 5, 2019
May 10, 2019 Posted: May 10, 2019 Dan Plante Proposed move of a psychiatric hospital creates tension among Chula Vista community members Dan Plante, Categories: Health, Local San Diego News FacebookTwitter 00:00 00:00 spaceplay / pause qunload | stop ffullscreenshift + ←→slower / faster ↑↓volume mmute ←→seek . seek to previous 12… 6 seek to 10%, 20% … 60% XColor SettingsAaAaAaAaTextBackgroundOpacity SettingsTextOpaqueSemi-TransparentBackgroundSemi-TransparentOpaqueTransparentFont SettingsSize||TypeSerif MonospaceSerifSans Serif MonospaceSans SerifCasualCursiveSmallCapsResetSave SettingsSAN DIEGO (KUSI) Controversy surrounding a proposed move for the Scripps-Mercy psychiatric hospital. Community members in Chula Vista are petitioning to relocate the hospital away from schools, parks, and neighborhoods for the safety of their community.KUSI’s Dan Plante has more on this story.View the community petition here.
Back in 1974, space scientists discovered Sagittarius A* (SgrA ∗)—a bright source of radio waves emanating from what appeared to be near the center of the Milky Way galaxy. Subsequent study of the object led scientists to believe that it was (and is) a black hole—the behavior of stars nearby, for example, suggested it was something massive and extremely dense.What we’re able to see when we look at SgrA∗ are plasma gasses near the event horizon, not the object itself as light cannot escape. That should be true for wormholes too, of course, which have also been theorized to exist by the Theory of General Relativity. Einstein even noted the possibility of their existence. Unfortunately, no one has ever come close to proving the existence of wormholes, which are believed to be channels between different parts of the universe, or even between two universes in multi-universe theories. In their paper, Li and Bambi suggest that there is compelling evidence suggesting that many of the objects we believe to be black holes at the center of galaxies, may in fact be wormholes.Plasma gases orbiting a black hole versus a wormhole should look different to us, the pair suggest, because wormholes should be a lot smaller. Plus, the presence of wormholes would help explain how it is that even new galaxies have what are now believed to be black holes—such large black holes would presumably take a long time to become so large, so how can they exist in a new galaxy? They can’t Li and Bambi conclude, instead those objects are actually wormholes, which theory suggests could spring up in an instant, and would have, following the Big Bang.Making the two’s speculation more exciting is the soon to be installed piece of equipment known as GRAVITY—it will be added to the European Space Observatory in Chili, giving researchers there an unprecedented view of SgrA∗ (and other black holes). In just a couple of years, it should be possible to prove whether Li and Bambi’s idea is correct or not—the photon capture sphere of the wormhole should be much smaller than that for a black hole, they note—if that’s the case with SgrA ∗, space scientists will have to do some serious rethinking of wormholes and how they might fit in to current theories describing the universe. More information: Distinguishing black holes and wormholes with orbiting hot spots, arXiv:1405.1883 [gr-qc] arxiv.org/abs/1405.1883AbstractThe supermassive black hole candidates at the center of every normal galaxy might be wormholes created in the early Universe and connecting either two different regions of our Universe or two different universes in a Multiverse model. Indeed, the origin of these supermassive objects is not well understood, topological non-trivial structures like wormholes are allowed both in general relativity and in alternative theories of gravity, and current observations cannot rule out such a possibility. In a few years, the VLTI instrument GRAVITY will have the capability to image blobs of plasma orbiting near the innermost stable circular orbit of SgrA∗, the supermassive black hole candidate in the Milky Way. The secondary image of a hot spot orbiting around a wormhole is substantially different from the one of a hot spot around a black hole, because the photon capture sphere of the wormhole is much smaller, and its detection could thus test if the center of our Galaxy harbors a wormhole rather then a black hole. Physicist suggests some types of wormholes may stay open long enough to send a photon through © 2014 Phys.org Citation: Pair of researchers suggest black holes at center of galaxies might instead be wormholes (2014, May 30) retrieved 18 August 2019 from https://phys.org/news/2014-05-pair-black-holes-center-galaxies.html 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. Explore further Journal information: arXiv (Phys.org) —Zilong Li and Cosimo Bambi with Fudan University in Shanghai have come up with a very novel idea—those black holes that are believed to exist at the center of a lot of galaxies, may instead by wormholes. They’ve written a paper, uploaded to the preprint server arXiv, describing their idea and how what they’ve imagined could be proved right (or wrong) by a new instrument soon to be added to an observatory in Chile. Credit: X-ray: NASA/UMass/D.Wang et al., IR: NASA/STScI
It’s not a regular affair that one sits back and rejoices the weekend spent. Well, Saturday was one such weekend spent by the people who were present at the World Music Day celebration in the Capital. First, there was music. For us, that’s enough to make us love it! And second, there was ‘good’ music, with the World of Talents group beating their drums till we literally danced. That’s not all, the city – shy, restless, outspoken, quiet, however, danced with the largest flash mob to the tunes of London Thumakda, Kolaveri Di and so many more tracks! Wait, wait, that’s not it. There were then a line up of excellent bands for all. You can imagine the joy all the music gave to the people as they sat out in the open humid weather, clapping, cheering and hooting for the bands, Turkush, Spice Route and Zephyr. Also Read – ‘Playing Jojo was emotionally exhausting’The Education Tree hosted this spectacular evening of music and dance on the occasion of World Music Day. Aiming to foster and facilitate education, and change the preconceived notions that surround it. They try to promote its objectives by the use of various unique art forms like music, art, dance, theatre and more.The concept of World Music Day was originated in France with an objective to hold free concerts wherein both professional and amateur artists can come together at a common platform to exhibit their talent. Select Citywalk was created into an epicenter of music and gave Delhi its very own musical movement. Also Read – Leslie doing new comedy special with NetflixWhat people loved the most was the amazing interaction by Vivek Vaid, member of World of Talents and the scintillating performance by the band Turkush. Launching their track Kamli, they made the public roar with enjoyment and we all know how it would be when an amazing band plays the songs we listen to on our pods! Spice Route’s Chinmayi’s voice hit just the right chords with the people. By the end, we all hoped World Music Day gets celebrated each day!
Kolkata: The body of a jute mill labour was found at Manirampur in Barrackpore on Wednesday night. In another incident, a youth was murdered in Nimta on Wednesday night.According to sources, Kamal Das (58) a resident of Manirampur in Barrackpore used to work in a jute mill at Titagarh. He used to live in Manirampur. Some of his relatives lived near his house. Since the past few days, no one had seen Das in the area. On Wednesday night, some of his relatives and neighbours saw lights inside his house were on and the doors were open. Also, a foul smell was coming out of his house. Also Read – Rs 13,000 crore investment to provide 2 lakh jobs: MamataWhen a few of his neighbours went to check his house, they saw Das lying in a pool of blood on the floor with his throat slit. Immediately, Barrackpore police station was informed. During the probe sleuths found the almirahs inside Das’s room were open and valuables had been stolen. Also, three glass and a bottle of liquor was seized from the room. It is suspected that the persons who had killed Das and stole valuables in the house. Das did not get a chance to alert anyone when he was murdered. Till Thursday night, none could be arrested in this case. Also Read – Lightning kills 8, injures 16 in stateIn another incident, a youth identified as Mrinmoy Mondal was killed while he was standing outside of his in-law’s house in Nimta. Though he was originally from Gaighata in North 24 Parganas, Mrinmoy used live at Nimta after his marriage. On Wednesday, around 12 am, he was reportedly standing in front of his in-law’s house. All of a sudden some of his neighbours who were standing close to him, saw a person crossing him riding a bicycle and immediately Mrinmoy hit the ground bleeding profusely from his neck. When they got busy to help Mrinmoy, the bicyclist managed to flee the scene. He was declared brought dead by the doctor in a local hospital. It is alleged that the unknown bicyclist killed him. Sleuths are interrogating Mrinmoy’s wife and in-laws to find clues in the case.
As a category manager, I manage the data science portfolio of product ideas for Packt Publishing, a leading tech publisher. In simple terms, I place informed bets on where to invest, what topics to publish on etc. While I have a decent idea of where the industry is heading and what data professionals are looking forward to learn and why etc, it is high time I walked in their shoes for a couple of reasons. Basically, I want to understand the reason behind Data Science being the ‘Sexiest job of the 21st century’, and if the role is really worth all the fame and fortune. In the process, I also wanted to explore the underlying difficulties, challenges and obstacles that every data scientist has had to endure at some point in his/her journey, or still does, maybe. The cherry on top, is that I get to use the skills I develop, to supercharge my success in my current role that is primarily insight-driven. This is the first of a series of posts on how I got started with Data Science. Today, I’m sharing my experience with devising a learning path and then gathering appropriate learning resources. Devising a learning path To understand the concepts of data science, I had to research a lot. There are tons and tons of resources out there, many of which are very good. Once you seperate the good from the rest, it can be quite intimidating to pick the options that suit you the best. Some of the primary questions that clouded my mind were: What should be my programming language of choice? R or Python? Or something else? What tools and frameworks do I need to learn? What about the statistics and mathematical aspects of machine learning? How essential are they? Two videos really helped me find the answers to the questions above: If you don’t want to spend a lot of your time mastering the art of data science, there’s a beautiful video on how to become a data scientist in six months What are the questions asked in a data science interview? What are the in-demand skills that you need to master in order to get a data science job? This video on 5 Tips For Getting a Data Science Job really is helpful. After a lot of research that included reading countless articles and blogs and discussions with experts, here is my learning plan: Learn Python Per the recently conducted Stack Overflow Developer Survey 2018, Python stood out as the most-wanted programming language, meaning the developers who do not use it yet want to learn it the most. As one of the most widely used general-purpose programming languages, Python finds large applications when it comes to data science. Naturally, you get attracted to the best option available, and Python was the one for me. The major reasons why I chose to learn Python over the other programming languages: Very easy to learn: Python is one of the easiest programming languages to learn. Not only is the syntax clean and easy to understand, even the most complex of data science tasks can be done in a few lines of Python code. Efficient libraries for Data Science: Python has a vast array of libraries suited for various data science tasks, from scraping data to visualizing and manipulating it. NumPy, SciPy, pandas, matplotlib, Seaborn are some of the libraries worth mentioning here. Python has terrific libraries for machine learning: Learning a framework or a library which makes machine learning easier to perform is very important. Python has libraries such as scikit-learn and Tensorflow that makes machine learning easier and a fun-to-do activity. To make the most of these libraries, it is important to understand the fundamentals of Python. My colleague and good friend Aaron has put out a list of top 7 Python programming books which helped as a brilliant starting point to understand the different resources out there to learn Python. The one book that stood out for me was Learn Python Programming – Second Edition – This is a very good book to start Python programming from scratch. There is also a neat skill-map present on Mapt, where you can progressively build up your knowledge of Python – right from the absolute basics to the most complex concepts. Another handy resource to learn the A-Z of Python is Complete Python Masterclass. This is a slightly long course, but it will take you from the absolute fundamentals to the most advanced aspects of Python programming. Task Status: Ongoing Learn the fundamentals of data manipulation After learning the fundamentals of Python programming, the plan is to head straight to the Python-based libraries for data manipulation, analysis and visualization. Some of the major ones are what we already discussed above, and the plan to learn them is in the following order: NumPy – Used primarily for numerical computing pandas – One of the most popular Python packages for data manipulation and analysis matplotlib – The go-to Python library for data visualization, rivaling the likes of R’s ggplot2 Seaborn – A data visualization library that runs on top of matplotlib used for creating visually appealing charts, plots and histograms Some very good resources to learn about all these libraries: Python Data Analysis Python for Data Science and Machine Learning – This is a very good course with a detailed coverage on the machine learning concepts. Something to learn later. The aim is to learn these libraries upto a fairly intermediate level, and be able to manipulate, analyze and visualize any kind of data, including missing, unstructured data and time-series data. Understand the fundamentals of statistics, linear algebra and probability In order to take a step further and enter into the foray of machine learning, the general consensus is to first understand the maths and statistics behind the concepts of machine learning. Implementing them in Python is relatively easier once you get the math right, and that is what I plan to do. I shortlisted some very good resources for this as well: Statistics for Machine Learning Stanford University – Machine Learning Course at Coursera Task Status: Ongoing Learn Machine Learning (Sounds odd I know) After understanding the math behind machine learning, the next step is to learn how to perform predictive modeling using popular machine learning algorithms such as linear regression, logistic regression, clustering, and more. Using real-world datasets, the plan is to learn the art of building state-of-the-art machine learning models using Python’s very own scikit-learn library, as well as the popular Tensorflow package. To learn how to do this, the courses I mentioned above should come in handy: Stanford University – Machine Learning Course at Coursera Python for Data Science and Machine Learning Python Machine Learning, Second Edition Task Status: To be started During the course of this journey, websites like Stack Overflow and Stack Exchange will be my best friends, along with the popular resources such as YouTube. As I start this journey, I plan to share my experiences and knowledge with you all. Do you think the learning path looks good? Is there anything else that I should include in my learning path? I would really love to hear your comments, suggestions and experiences. Stay tuned for the next post where I seek answers to questions such as ‘How much of Python should I learn in order to be comfortable with Data Science?’, ‘How much time should I devote per day or week to learn the concepts in Data Science?’ and much more.. Read more Why is data science important? 9 Data Science Myths Debunked 30 common data science terms explained