a specific region or regions

The current Animal Disease Traceability (ADT) program encompasses cattle older than 18 months that move interstate. Speer notes cows and bulls represent about 20% of weekly cattle slaughter in the U.S.

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For fed cattle so far, individual animal identification and tracking is largely the byproduct of management and value-added marketing.

Speaking of which, major beef customers may be unwilling to wait for an emergency that forces the industry’s hand to adopt a more comprehensive traceability system.

In September, Walmart unveiled a new food safety program that will require suppliers of fresh leafy greens to use a blockchain-based solution the retailer piloted with IBM.

According to the company, the move stems from a recent series of high-profile recalls from salmonella and E. coli contaminations — notably the multistate outbreak of E. coli O157:H7 linked to romaine lettuce. Ultimately, Walmart reported that the outbreak led to 210 confirmed cases of E. coli infection, and caused 96 hospitalizations and five deaths.

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“Although the FDA and CDC [Centers for Disease Control and prevention] were able to inform consumers, producers and retailers that the romaine lettuce associated with illnesses came from the Yuma [Ariz.] growing region in general, health officials and industry professionals were unable to quickly determine which lots were affected and which were not,” Walmart explained in a letter to suppliers.

“This resulted in millions of bags and heads of romaine lettuce having to be removed from the marketplace and a loss of consumer confidence in romaine lettuce, regardless of growing region, as well as negatively affecting the economic livelihood of many, including farmers … Walmart believes the current one-step-up and one-step-back model of food traceability is outdated for the 21st century, and that, by working together, we can do better.”

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Called the Walmart Food Traceability Initiative, the effort aims to provide suppliers the ability to trace fresh, leafy produce from farm to table in real time using the IBM Food Trust Network. Walmart said blockchain enables digitized sharing of data in a secure, trusted manner, allowing more open access to information gathered by suppliers.

“Customers trust us to help them put quality food on their tables for themselves and their families,” Charles Redfield, executive vice president of food for Walmart U.S., said in a statement. “We have to go further than offering great food at an everyday low price. Our customers need to know they can trust us to help ensure that food is safe. These new requirements will help us do just that.”

They’re not waiting around, either. Walmart is calling on direct suppliers to comply with one-step-back traceability on the blockchain network by Jan. 31, and end-to-end traceability back to the farm by Sept. 30, 2019.

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As for cattle, Speer reminds that traceability is part of the beef industry long-range plan, and that has to do with beef demand, disease surveillance and control. “It’s interesting to me that at McDonald’s, in a Happy Meal, you get a toy and food. The food isn’t traceable but the toy is 100% traceable,” he says.

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Be Tested As Interest Rates Rise

The personal loan market is booming thanks in part to low unemployment, favorable regulation and a crop of fintech lenders.

But whether or not this type of lending is resilient in the face of rising interest rates and the potential for a future downturn in employment, remains to be seen, injecting risk into the economies in the developed countries where this type of lending has exploded.

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That’s the assessment of the Bank of International Settlements, which in a report last month warned the fintech lending market is still unproven.  “It is not clear how fintech credit will perform when conditions deteriorate, ” wrote BIS in the research report. It pointed to China, the U.S., and the UK where higher default rates for the fintech lenders have reduced investor returns. BIS said a “significant” share of the fintech lending platforms cite increased levels of defaults as a very high or high risk to operations.

It doesn’t help that the higher fintech credit default rates are happening at a time when non-performing loan rates at traditional banks are historically low. That suggests the fintech lenders, in an effort to expand, are providing loans to borrowers that are deemed riskier by the traditional banks.  That’s fine when interest rates remain low and unemployment is near historical levels. But if interest rates continue to march higher, and the job market has a downturn, lots of consumers could be staring at personal loans bills they can’t pay back. For countries with higher incomes and less competitive banking systems, the potential impact could be more profound. BIS found fintech lending is robust in those markets. The volume of fintech loans is also higher in countries that don’t have stringent banking laws.

Unsecured personal Loans Are Booming

Thanks in part to the growth of lending fintechs, the popularity of unsecured personal loans has been surging over the past few years. Take the first quarter of 2018 as one example. According to TransUnion, the credit-scoring company, the number of outstanding personal loans in the first three months of the year rose to 19.2 million. That compares to 16.9 million a year ago. Meanwhile, the total loan balances reached $120 billion, up from $102 billion in the first quarter of 2017.  Good news for the fintech lending industry and investors: default rates among personal loan borrowers declined by 3.51% in the first quarter of this year compared to a rate of 3.72% in the same period last year. The strong performance of the loans so far has emboldened lenders, with more fintechs entering the fray.

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Increased Regulation Likely

While BIS called out the unproven nature of fintech lending as a risk, it also noted that increased regulation should be coming down the pike and could dampen returns. It pointed to China’s fintech lending market, which has been slowing down in recent months due to a crackdown on the part of the government, as an example. It came too late for the countless investors who lost their money in unregulated peer-to-peer lenders. Then there is LendingClub in the U.S. Just this week its  founder and former chief executive officer Renaud Laplanche agreed to pay $200,000 to the Securities and Exchange Commission to settle a lawsuit in which the government agency contends he directed an outside investment firm he was president of to purchase LendingClub loans that were at risk of not getting funded. While that has nothing to do with the fintech lending industry at large it did shake investors conference in the market.

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What he did wrong
Four years after his Malaysia and Vietnam trip, Ujjwal was knee-deep in loans. His loan requirement from a mere Rs 50,000, had increased to Rs 6 lakh. More than half of his salary went into paying EMI for the consolidated personal loan.

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Where did Ujjwal go wrong?
Firstly, Ujjwal started out as a credit-worthy customer, who then over-leveraged himself. It was an easy decision for financial institutions to lend to him. However, the borrower should practice restraint. Because somebody is offering attractively-designed loans, it does not mean you should take them.

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Secondly, like many gullible borrowers, Ujjwal fell into the credit card and personal loan vortex. Credit cards charge interest rates ranging from 30-42% per year. Such high interest means you should never use credit cards for one to two year tenure of loans. Once the outstanding starts getting accumulated, the entire loan becomes too big, due to high-interest rate.

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Thirdly, paying the minimum outstanding on credit cards is a big mistake. It is the minimum amount that has maximum impact. Try to pay all credit card dues, not just the minimum amount. Any amount that you do not pay attracts interest.

Fourthly, Ujjwal was sucked into more debt even as he tried to handle the situation. In a bid to reduce interest costs from his four credit cards, he took a personal loan. However, he took extra funds. More funds mean more debt, resulting in more repayment.

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Lastly, one should assume only that much unsecured debt which can be repaid easily. As a thumb-rule, you should not take more than 20% of your monthly income in unsecured loan repayments.

Women take collagen supplements

Collagen protein is very important for girls, women often taking collagen, not only can hairdressing to raise colour and weight loss, but also can improve the trace elements in the body, improve the body’s blood circulation, so as to let the body maintain a healthy level, in fact, in our life, there are a lot of small food contains a lot of collagen.

What foods do women eat to replenish collagen?

1. Fish food

The collagen content in fish is very high, especially there is more collagen in fish scales, but very few people will not eat fish scales, in addition to fish scales, fish skin also contains collagen. So can eat a few fish at ordinary times, can drink a few fish soup at ordinary times, because fish won’t let human body put on weight at all, also can complement collagen for the body at the same time.

2. Cartilage and bones of animals

Many people are especially fond of animal meat. If you want to add more collagen, you can eat more animal bones, especially cartilage. When eating ribs, you can suck out the bone marrow in the bones. Bones of animals such as leg bones, skull, spine bones, fish head, cow bones, duck bones, and chicken bones.

3. Animal’s fascia and fascia

Tendons, tendons, pigs‘ feet are all part of the animal’s tendons and fascia, which are rich in collagen. Some of the animal’s calves, such as those of cows, sheep, or pigs, can be found. Some of the fascia, dermis, and tendons on the bones get large amounts of collagen inside.

The dermis of animals

The dermis of animals contains very high collagen content, such as fish skin, duck skin, chicken skin, sheepskin, cowhide skin, pig skin and so on. You can use the dermis of animals for stewing, so that you can get more collagen.

The wings and claws of a bird

Duck feet, chicken feet, chicken wings, goose feet, duck wings, etc. These birds‘ claws and wings contain a lot of collagen. There is a lot of collagen in the dermis, tendons and bones.

Pursue the freedom that technology can touch

For hundreds of years, democracy has achieved most of human freedom, and today’s social structure is not strictly central. The power of the federal reserve and the bundesbank comes directly or indirectly from congress and voters. Therefore, we achieve decentralization through blockchain technology, which is not a confrontation with the existing social structure, but also a kind of balance and optimization. Decentralization is not to eliminate the center, but to optimize the normal distribution and power law distribution structure. Freedom is not populism, anarchism, but the right to choose that does not endanger the freedom of others.

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The market naturally calls for freedom, and freedom is the oxygen of trade. But not all markets, free competition, are as desirable. In the financial, Internet, oil, aerospace, shipping, real estate, etc., these natural endowments are highly dependent and vary greatly in the market, the free competition majority goes to monopoly or oligopoly.

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And look at bitcoin. The bitcoin network is very clever in introducing two big natural laws of cosmic fairness: random selection and free competition. So far, the bitcoin poW workload has proved to be the most fair consensus algorithm. Every node has equal opportunities to participate in the hash function calculation, obtain the accounting right according to the calculation power ranking, and then obtain the bitcoin reward (commonly known as „mining“). The decentralization of the bitcoin network is actually achieved through optimized pBFT(Byzantine fault tolerance), which enables all nodes to participate in transaction (transfer) verification, settlement and bookkeeping to realize distributed bookkeeping.

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However, the result of this distributed bookkeeping is not necessarily the most decentralized. In order to encourage all nodes to participate in the competition of bookkeeping rights, the bitcoin network has set up a bitcoin reward mechanism that is competitive in computing power. The problem is that China has natural endowment advantages in the cost and capacity of manufacturing electronic products, the cost and scale of power supply, so that Chinese mines eventually have a monopoly in the fair competition of computing power. Because of the vulnerability of the bitcoin network to 51 percent computing power, this great distributed payment system instead hangs a central sword of Damocles.

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Locke wants to express that the decentralization of blockchain and the freedom behind it is not a populist blind belief but a balancing idea, a technological rebalancing of today’s democratic thinking. If you look at the distributed bookkeeping of the bitcoin network as a blockchain, this is a very lame technology without industrial applications. As a result, ethereum has expanded blockchain technology from the perspective of protocols (smart contracts) rather than bookkeeping, increasing the possibility of decentralization. EOS has also introduced the client mechanism (DpoS) in the modern political system, expanded the blockchain technology with a weak centralization, and solved the blockchain efficiency problem. Compared with the block chain technology, which is more mature and widely used in artificial intelligence and big data technology, the dependence on centralized database and centralized decision-making mechanism is obvious. As a production relation, blockchain, if combined with artificial intelligence productivity and big data production data, depends on how extensive the blockchain technology is, and more fundamentally, how compatible the decentralization idea is.

Index of cloth art sofa choose and buy

1. Actual demand

Small room appropriate USES the real wood sofa with lesser volume, or compact cloth art sofa, make room surplus space is bigger; Big sitting room puts bigger sofa and outfit tea table, just more convenient and comfortable; The room is small can choose sofa to sit board below have store content space type, take put article convenient, one content is multi-purpose.

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2, flexible

The „corner sofa“ that has 5 to 7 individual sofa combination to become has movable, changeability, can change its layout according to need, give a person fresh feeling. If buy cloth art sofa, can do sofa cover more, change in different season use.


3, skeleton,

Choose cloth art sofa should first see integral structure firm, whether have loose, whether accords with ergonomic on the design. Can sit on sofa to feel its are smooth, Angle is reasonable, have comfortable feeling.

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4. Human engineering

To old person, sofa sits the height wants moderate, if too low, sit down, rise not convenient; For newly-married couple, the security that considers to future child is born even when buying sofa and durable sex, sofa cannot have the edge of pointed hard Angle, its color also should be some bright and lively pediatric hypertension.


5. Comfort

Busy a day, return to be about to enjoy in the home, the seat of sofa should give priority to with comfortable, its sit face and back of a chair all answer with the curved surface that suits human body physiology structure is good. If bedroom area is lesser, have the sofa bed of sitting lie function concurrently is a good choice.

Intel 50th anniversary McS-48 series

The potential for a combination of microprocessors and erasable programmable read-only memory (both introduced in 1971) began to emerge in 1974, when both products had to be purchased and installed separately. While this allows for custom applications, it is expensive and complex to use in a variety of devices in modern life.

Single chip microcomputer is a kind of single package embedded system which can be produced and implemented on a large scale. In other words, MCU can achieve a balance between cost and practicality to build a world based on embedded semiconductor systems. Seeing this, Intel began working on its first MCU McS-48 series back in 1974.

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The full-time research and development team for the McS-48 series is small, but the team members devote themselves to the research and development of the series. Engineer David Stamm, then a recent college graduate, had to keep his desk in the hallway because of limited office space. „“ for more than two years, I worked with an engineer and a draftsman to develop 8048 around the clock,“ „he said.

This is a very difficult task. The integration of the processor and memory into a single package is both challenging and difficult. In addition to these technical difficulties, there were also commercial conceptual difficulties. The technology they built was only a few years old, and it was still revolutionary — engineers had to balance performance and price to attract the widest customer base.

Moreover, design tools were limited everywhere. Dwayne Hook must draw each part in the multilayer processor design by hand. Since there are no physical prototypes, there are only a handful of test methods — typically an 8-15 week wait from request to delivery. The only way for engineers to test individual device components is to unplug the wire from the chip and connect it to a 10-15 square foot circuit board simulation simulator.

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A 1976 photo shows what Intel 8748 microprocessors look like at the fingertips. Despite the challenges, the first prototype of the McS-48 came out in the second quarter of 1976. The team had the MCU execute a blackjack program (Stamm liked playing blackjack at the time) and show it to Andy Grove, Gordon Moore and Les Vadasz. To avoid overload, they used a orange with electrodes attached as a battery and wires to the chip. In the second half of the same year, the team took out a McS-48 device in front of the customer.

The series was a big success. One of the products, the 8048, quickly became an industry standard, and in the years that followed, the McS-48 series expanded: they were used in refueling guns, jets, and more, countless other devices. It was also a turning point for microchip technology to become the foundation of modern life. In 1984, less than a decade after its first appearance, 8748 was selected as one of seven Intel products on display at the smithsonian exhibition at the national museum of American history.