GCR digital currency
Donglin International Group is not a pyramid scheme, but a Ponzi scheme. Donglin International Group is one of 232 illegal fund scams announced on October 18. Donglin international claims to be regulated by the NFA, India's financial regulator. Donglin international distinguishes the so-called capital markets such as split, mutual aid, virtual currency, dividend, binary options and micro trading, claiming that all the income comes from the foreign exchange market, with monthly income as high as 15% to 20% (floating) and being open and transparent. This kind of publicity is estimated to be sufficient for the fixed conditions of illegal fund-raising
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< H2 > extended information:on October 18, 232 illegal fund offers were released. The parts are as follows:
1, 3658 away from 2, 3D orange orange man crash run 3, 6 degree chain unable to withdraw 4, AB mall away from 5, ADC miner away from 6, ADO unable to withdraw 7, AE coin run 8, AMB away from 9, AOK Aoke international deposit high risk 10, AIT Art Village platform restriction 11, BCL digital currency withdrawal difficulty 12 Cab away 13, CCM mall away 14, cdbc away 15, DVM dream coin away 16, EPCO away 17, ETH legend unable to withdraw cash 18, etj renamed restart 19, Etz etherdrill away 20, FA crash away 21, FFC future financial chain away 22, FIFA poly away 23, FN future network away 24, GCR away 25, GEC environmental protection coin away
26, GTO timely withdrawal 27, HDB Evergrande coin away 28, HPA high risk 29, etc HTR away from 30, hot Qiansheng gold mine away from 31, JMC win-win ecosystem away from 32, jvi away from 33, KBC Kangbao coin away from 34, ltcgs international away from 35, MCC Mechanical Coin away from 36, MFC collapse 37, MMG permanent miner away from 38, mmm glbal away from 39, moretoken away from 40, OAC oasis assets can not be withdrawn 41, OMS wonderful market away from 42, PMD away from 43, PRC away from 44, plustoken away from
45 RCM running 46rec digital coin running 47, RHC Futai chain running 48, RTC rongte coin running 49, RT China Internet of things running 50, SCMA alliance running 51, set running 52, SFC running 53, SMCC platform restriction 54, SVI Shengwei international zombie 55, TAC traceability chain running 56tbb running 57, TTB running 58, U + real estate running 59, UCM blockchain collapse running 60, ude running 61, u Bao USS immediate debt running 62, etc Vpay crash is imminent 63, visa run 64, VPF split far away
65, wh crash run 66, wlwglobal crash 67, DOF CITIC finance unable to withdraw 68, SEL Huzhu run 69, sky withdrawal difficulty 70, wanshibao far away, 71, omnipotent exchange far away 72, Wanbang International far away 73, Wanshun taxi far away 74, Sancai Tongzheng far away 75, Rose Manor crash 76, dongfangcheng far away 77 Donglin International Group is far away from
78, zhongsoule is far away from 79, Zhongmin welfare group is far away from 80, Zhongrun new energy is far away from 81, Zhongke Hongji is far away from 82, Zhongpin alliance is far away from 83, Weier mall is far away from 84, letaifang is far away from 86, Letong group is far away from 87, jiubayunche is far away from 88, jiuhaoguan is far away from 89, Jiuzhou Wharton is far away
in May 2011, McKinsey Global Research Institute published a pioneering paper entitled "big data: the next frontier of innovation, competition and proctivity", which makes big data and analysis attract people's attention. According to Google's trend analysis, which increased people's interest in keyword search, the big data and analysis boom peaked in June 2016. Cloud computing has always been highly concerned by people, because more and more enterprises continue to implement cloud computing technology to improve business flexibility, operational flexibility, performance improvement, and higher efficiency
digital transformation needs to play a role at the organizational level and will become a permanent way of operation
people may wonder what big data and analytics will look like when they reach their peak. As long as the published customer surveys, supplier interests, analyst reports, revenue sources and other information are valuable, then enterprises will use big data and analysis to obtain. According to a survey concted by Gartner in 2016, enterprises' investment in big data and analysis has been growing in the past five years, but their interest in future investment seems to have declined. This may be e to a pause in the real return on these investments. Another Gartner survey shows that only about 12% of big data projects have achieved measurable results. However, social media, IoT, smart phones, mobile phone equipment, game equipment, wearable devices, sensors, UAVs, remote monitors, precision medical, precision agriculture, intelligent city, intelligent buildings, autonomous driving cars, remote control vehicles and other technologies will proce a lot of data that need to be collected, collected and analyzed. To make useful and valuable decisions
it is impossible to use traditional methods and systems to analyze data manually. The potential value from big data and analysis reaches billions of dollars a year. This is considered a conservative estimate. Because McKinsey's 2011 survey only accounts for a small part of the potential value of big data. Only the adoption rate and value capture rate of location-based data are as high as 50% - 60%, followed by the U.S. retail instry, which is 30% - 40%, manufacturing instry, which is 20% - 30%, the U.S. health care instry, which is 10% - 20%, and the European public sector, which is 10% - 20%. As a result, interest and investment in big data and analysis will increase in almost all instries to capture the hidden value of big data. It is expected that enterprises will continue to be interested in big data of cloud computing in the next few years
data security
as more and more data are collected, collected, analyzed and used to make decisions that affect people's lives, data security has become the most concerned issue. Data governance requires a central stage that deals with data peaks collected from different sources and the risks involved in managing these data elements. Federal, state, municipal, and local government agencies and other non-profit public service organizations need to comply with strict confidentiality, integrity, and availability (CIA) rules, as well as provide good governance, meet compliance requirements, and manage risk (GCR)
a common misconception is that organizations need to collect large amounts of structured and unstructured data from different sources, including external sources (need validation and risk assessment) to start analysis. Enterprises don't need a lot of data to start analysis projects. We can start with the existing "gold standard data" and consider the possibility of using these data alone or in combination with other internal data sets to solve business problems as proof of concept to buy from decision makers. Enterprises can try and analyze different variables that have not been viewed before to determine correlation, causality and predictors, find them carefully and avoid overlapping. This is where instry domain knowledge and expertise play a role. With available and affordable computing power, storage, and network capacity, enterprises can easily analyze more data to see patterns and probabilities hidden in the data. Based on business requirements, analysis can be used for descriptive, diagnostic, predictive and prescriptive purposes. Internet of things, sensors, operation technology, equipment maintenance, precision medicine, power grid, shipping, logistics, law enforcement and precision agriculture are increasingly using the above different types of analysis to deal with one or more business problems, or provide solutions as needed
demand for big data
big data means different things to different people. Different it analysts, business leaders, consultants, academic researchers and standards organizations have defined big data according to their views, including quantity, speed, variety, accuracy, complexity and other factors. Although there is no clear consensus on big data, their existing capabilities are too big in terms of personnel, process and technology. In terms of big data and analysis, people are the hardest part. There are some problems, such as organizational inertia, lack of support from decision-makers, and difficulty in finding data scientists with correct understanding and analysis. Similarly, big data analysts are scarce. Many universities or certification bodies around the world are offering new courses in data science and analysis to meet the growing demand
as the big data field is an emerging instry, it is difficult to find suitable experts, so the so-called "big data experts or data scientists" are attracted by large financial organizations such as financial transactions, banks, credit rating agencies, and credit card companies. In addition, Google, Facebook, LinkedIn, Yahoo, Microsoft, Amazon and other instry giants are also eager for talents, because they provide these talents with rich salaries, stock options and better development prospects. Federal, state, municipal, and local governments, as well as non-profit organizations, are at a disadvantage in competing for the same talent. However, some government organizations with foresight have successfully recruited some excellent big data scientists
overcoming the challenge of talent shortage
in order to overcome the challenge of data scientist shortage, many enterprises are building a data science team, including personnel with knowledge and expertise in big data analysis, as well as instry experts, such as it and business fields. Together, they can complement each other's expertise, collaborate with each other and come up with solutions to business problems. An important feature of a successful big data analysis team is to be able to tell stories in business terms and realize data visualization, which requires little explanation. This is a very special skill that requires sales skills to complete the transaction. These capabilities help to build the credibility of data science teams or big data and analysis teams, to gain the support of senior managers, and to extend analysis from one business area to another, and ultimately to the entire organization or enterprise. These people are "translators" who can get results from data analysis and put them in business terms so that enterprises can understand and adapt. Digital transformation needs to play a role at the organizational level and become a permanent way of operation. Big data and analysis is an integral part of the digital transformation of private or public enterprises. Therefore, many organizations have begun the journey of digital transformation, releasing the value hidden in big data through analysis. In the future, more organizations will follow suit.
The output of the iron and steel instry has ranked the first in the world for nine consecutive years, but this does not mean that China is a powerful iron and steel country. The brilliance of output can't cover up the internal crisis of iron and steel instry. The key of the crisis lies in three problems
first, it consumes a lot of energy
the resources such as ore, coal and electric power used to proce a ton of steel are far higher than the average level of developed countries and even the world. Moreover, with the development of iron and steel instry in recent years, the consumption of resources per unit of steel is increasing in some places
Second, the proct structure is unreasonable
long steel with low added value accounts for more than 60%, while high-grade steel needed by automobile, machine tool, household appliances and other instries need to be imported in large quantities. The deep-seated reason is that the scale of iron and steel enterprises is too small to reach the level of proction required by scale economy, and they do not have the ability of innovation. Therefore, the result of the development of the iron and steel instry is to import a large number of ores, process them into low-grade steel, and then export a large number of them, which consumes precious resources, causes the overall tension of coal and electricity, leaves behind pollution, and only makes negligible profits. The unconventional development of iron and steel instry is not in line with the general direction of China to achieve sustained growth and establish a conservation oriented economy. Therefore, it is of great significance for the State Council to promulgate the "steel instry development policy" on July 20 and implement the new steel policy. The reasonable control of proction scale, the improvement of instrial concentration and the optimization of variety structure are of strategic significance to the development of China's iron and steel instry< The third is the market situation.
the positive fiscal policy made China get out of the financial crisis first, but the problems of unbalanced, uncoordinated and unsustainable economic development are still prominent, and the economic growth rate slowed down obviously under the guidelines of maintaining growth, controlling inflation and adjusting structure. The raw materials of the iron and steel instry remain high, the funds are short, the financing cost is high, and the market is flat, which is an unprecedented new situation
with the increasing competition in the iron and steel instry, M & A integration and capital operation among large-scale iron and steel enterprises are becoming more and more frequent. Outstanding domestic iron and steel enterprises pay more and more attention to the research of the instry market, especially the in-depth research on the development environment of enterprises and the trend change of customer demand, For details, please refer to the analysis report on development prospects and investment strategic planning of China's iron and steel instry. Because of this, a large number of domestic excellent steel brands have risen rapidly and graally become the leaders in the steel instry
in the past seven years since the 11th five year plan, the technological achievements of the iron and steel instry are mainly reflected in five aspects:
first, the overall equipment level has been greatly improved and fundamental changes have taken place. In 2011, according to the key statistics, the proction capacity of 1000 m3 and above blast furnaces in iron and steel enterprises accounted for about 65%, and there were 33 blast furnaces above 3000 m3; The proction capacity of converter with 100 tons and above accounts for about 63%. Most of the enterprises have been equipped with hot metal pretreatment and secondary refining facilities. The refining ratio reaches 70%, and the rolling system basically realizes full continuous rolling. The newly built large-scale equipment of Baosteel, Angang, WISCO, Shougang, Masteel, Handan Iron and Steel Co., Ltd., Taiyuan Iron and Steel Co., Ltd., Xingcheng Special Steel Co., Ltd., dongte Dalian base and other enterprises has reached the international leading level, and the process equipment has realized the modern, efficient and automatic steelmaking proction mode
Second, the proct structure adjustment has achieved results, and the proct quality has improved significantly. The structure of China's steel procts has been further optimized, the proct quality has been continuously improved, the self-sufficiency rate of most varieties has reached 100%, the physical quality of some steel procts has reached or approached the advanced physical quality level of European Union, Japan and other foreign countries, and the development of key steel varieties urgently needed by the national economy has also made great progress. High performance steel materials proced by the iron and steel instry, such as high-strength building steel plate, high-strength reinforced bar for seismic building, alloy material for spacecraft, high-performance pipeline steel, steel for large hydropower station, high magnetic inction oriented silicon steel, rail for high-speed railway, strongly support the development of related fields, and guarantee the post disaster reconstruction of Sichuan, large venues, West to east gas transmission, Three Gorges project Beijing Shanghai high speed railway and other national major projects and national key projects were successfully implemented
thirdly, remarkable achievements have been made in energy conservation and emission rection, and the environmental quality has been significantly improved. Under the guidance of supporting policies and measures such as "measures for the management of financial incentive funds for energy saving technology transformation" issued by the state, iron and steel enterprises continue to increase investment in the field of energy saving and environmental protection, and promote the application of a number of practical and effective energy saving and environmental protection technical measures, such as waste heat and pressure utilization, energy management and control center, dry st removal, waste water recycling, etc. In 2011, the comprehensive energy consumption per ton of steel in China's iron and steel instry was 601.72 kg of standard coal, 92.42 kg of standard coal lower than that in 2005, 13.3% lower< Fourth, the ability of independent innovation has been greatly improved. The main equipment of coking, sintering, ironmaking, steelmaking, continuous casting, rolling and other major processes has been basically localized; With the comprehensive ability of independent construction and operation of world-class ten million ton steel plants, the independent integration and independent construction of wide strip cold tandem mill units in Bayuquan, Shougang, Jingtang and Meishan of Baosteel mark a new milestone in the independent design, manufacturing, engineering construction and application of new technologies in China's iron and steel instry
fifthly, the technological innovation system of iron and steel instry has been basically formed. By 2011, China's key large and medium-sized iron and steel enterprises have 230 science and technology institutions, and the total number of personnel in science and technology institutions is 45277, including 868 doctoral students, 4461 master students, and the proportion of highly ecated personnel is increasing year by year. China's iron and steel instry has built 16 national key laboratories, 5 engineering laboratories, 12 engineering technology centers, 10 engineering research centers, 33 enterprise technology centers and 17 innovative enterprises. It has basically formed a technological innovation system with enterprises as the main body, universities, research institutes and downstream users participating in the combination of proction, learning, research and application, and has a certain ability to carry out technological innovation independently
on July 27, 2015, the China Iron and Steel Instry Association said that in the first half of this year, the main business losses of iron and steel enterprises were serious, further expanding to 21.68 billion yuan< According to the statistics of CISA, in the first half of 2015, the main business loss of large and medium-sized iron and steel enterprises was 21.68 billion yuan, and the increase loss was 16.768 billion yuan; There were 43 loss making enterprises, accounting for 42.6% of the total number of member enterprises, and the output of loss making enterprises accounted for 36.8% of the steel output of member enterprises. ① International chemical element symbols and national symbols are used to represent chemical composition, and Arabic letters are used to represent composition content: 12CrNi3A in China and Russia; ② Steel series or numbers are represented by fixed digit numbers: USA, Japan, 300 series, 400 series and 200 series; ③ Use Latin alphabet and sequence to form serial number, which only indicates the purpose
China's numbering rules
① use of element symbols, ② use of Chinese Pinyin, open hearth steel: P, rimmed steel: F, killed steel: B, class a steel: A, T8: te8, GCr15: Ball steel, composite steel, spring steel, such as 20CrMnTi 60simn, (expressed in tens of thousands of C content), stainless steel, alloy tool steel (expressed in tens of thousands of C content), For example: 1Cr18Ni9 thousandth (0.1% C), stainless C ≤ 0.08% such as 0Cr18Ni9, ultra-low carbon C ≤ 0.03% such as 0cr17ni13mo
International Stainless Steel identification method
AISI uses three digits to identify malleable stainless steels of various standard grades. Among them: ① austenitic stainless steels are marked with 200 and 300 series numbers, for example, some common austenitic stainless steels are marked with 201, 304, 316 and 310; ② Ferritic and martensitic stainless steels are marked with 400 series numbers. ③ Ferritic stainless steel is marked with 430 and 446, martensitic stainless steel is marked with 410, 420 and 440C, plex (austenite ferrite), ④ stainless steel, precipitation hardening stainless steel and high alloy with iron content less than 50% are usually named by patent or trademark. Soon after man invented ironmaking, he learned to make steel. Because the steel has better physical, chemical and mechanical properties than the original pig iron, it has been widely used. However, e to the limitation of technical conditions, people's application of steel has been limited by the output of steel. It was not until after the instrial revolution in the 18th century that the application of steel developed by leaps and bounds. Steel can be cast into stainless steel to sell Deodorant Soap. Stainless steel deodorizing soap is a kind of special steel block made of stainless steel, which will never be smaller. It is used like ordinary soap. This kind of stainless steel deodorizing soap comes from Germany. It can't decontaminate, but it can deodorize. After washing with stainless steel deodorizing soap for 30 to 40 seconds, the fishy smell can disappear. But in general, this kind of commercial application does not have much development prospects, because stainless steel can not last for half a year. At present, domestic e-commerce exaggerates its effect. Such procts are generally proced in China, but they are often branded as German technology to make huge profits
steel facts, also known as steel physical goods, refers to the physical goods of steel that can be used for shipment, storage and manufacturing. The general term for goods that can be delivered in cash on a spot or forward basis, or paid in advance, and paid by the buyer within a very short period of time. Symmetry of steel futures
in the spot transaction, it is common to pay and deliver at the same time, or to barter. Spot trading is generally applicable to the sale of agricultural and sideline procts, small wholesale and retail transactions. In China, retail enterprises generally take the way of one hand delivery, one hand payment, and two payments of cash and goods; In the spot transaction of wholesale enterprises, in addition to the way of first-hand delivery and first-hand payment, they also adopt the way of bank collection and commitment to settle within the time limit. The differences between spot trading and other trading methods are as follows:
① the purpose of trading is to obtain the ownership of goods
② in terms of transaction mode, it is generally carried out through one-to-one negotiation between two parties, and it is not necessary to focus on a specific time and place. The commercial press "English Chinese Dictionary of securities investment" explains: steel spot English: Steel facts; Steelcash commodity Also known as: steel goods. ① Procts with physical properties and actual delivery in the process of commodity futures trading, such as steel, gold, soybean, etc. When trading, the Seller shall deliver to the buyer on the maturity date of the futures contract. In fact, many futures transactions that can deliver commodities have been closed before the delivery date, and there is little actual spot delivery. ② Spot; spot; spot; spot commodity The spot under the concept of commodity. That is, the goods that can be delivered immediately are the general commodities traded in the market. When the transaction is concluded, the seller delivers it to the buyer, and the buyer pays for the goods. As opposed to commodities traded under futures contracts< In 2007, the global steel proction reached 1.345 billion tons. Among them, China's iron, steel and steel output reached 469 million tons, 489 million tons and 565 million tons respectively. The share of global steel proction increased from 15.0% in 2000 to 36.4% in 2007. China's steel output in 2007 is more than the sum of Japan, the United States, Russia, India, South Korea, Germany and Ukraine. In 2008, China's steel output reached 500 million tons, accounting for 37.3% of the global steel output. National Bureau of Statistics