You are reading the article Ethereum Projects To Build A Bridge On Bitgert Chain To Avoid Higher Gas Fees updated in November 2023 on the website Moimoishop.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested December 2023 Ethereum Projects To Build A Bridge On Bitgert Chain To Avoid Higher Gas Fees
The revolutionary Bitgert BRC20 chain has been a game-changer with its gasless and fastest blockchain.Ethereum has been one of the cryptocurrencies doing very well in the market over the past few days. Though ETH has been bullish, it was also one of the coins that have been plummeting for the most part of 2023. Apart from the plunging market prices that have affected most of the cryptocurrencies, the Ethereum chain has been having issues with its chain performance. The expensive gas fee and slow chain are the biggest Ethereum limitations. That’s why Ethereum projects are building bridges to the
BitgertThe
CentcexThe other cryptocurrency that has been doing very well over the past few days is
EthereumEthereum has been one of the cryptocurrencies doing very well in the market over the past few days. Though ETH has been bullish, it was also one of the coins that have been plummeting for the most part of 2023. Apart from the plunging market prices that have affected most of the cryptocurrencies, the Ethereum chain has been having issues with its chain performance. The expensive gas fee and slow chain are the biggest Ethereum limitations. That’s why Ethereum projects are building bridges to the Bitgert chain to go around the high gas fee and slow speed. Here is more about the Bitgert (BRISE) blockchain and how its bridge is revolutionizing the chúng tôi Bitgert team has done a lot in developing this project, but the most phenomenal development has been the building and launching of the Bitgert blockchain. The revolutionary Bitgert BRC20 chain has been a game-changer with its gasless and fastest blockchain. But to ensure that all other network users are enjoying the benefits of the BRC20 blockchain , the team has built the Bitgert bridge that enables users from all other networks to migrate to the Brise chain . Most Ethereum projects are now building their bridges on the Bitgert chain to avoid the high gas fee. Though the Ethereum team announced a reduction in its gas fee, the gas is still considered very expensive when compared to the Bitgert chain gas fee . That’s why many blockchain projects are migrating to the Bitgert BRC20 blockchain , a more friendly chain for chúng tôi other cryptocurrency that has been doing very well over the past few days is Centcex . The project has been compared to the Bitgert project because of the faster delivery the team has made. All the set Centcex milestones have been achieved on time, including the start of developing the products. The Centcex team has already started developing the products, and currently, the building of the cryptocurrency exchange is also almost complete. The Centcex staking program will also be launching soon. There are also multiple dApps, user bases, and many other crypto products that the Centcex team is developing. Therefore, the Centcex project is designed to offer one of the highest utilities in the industry. That’s why the crypto community is buying this project.Ethereum chain is about to lose so many of its products to the Bitgert chain . The biggest complaint from the Ethereum users has been the high gas fee, which costs them a lot of dollars to make a transaction. That’s why transactions on the Ethereum chain have not been growing fast like other chains such as Bitgert . The problem is also affecting the growth of Ethereum-based projects like Shiba Inu, which are experiencing reducing volumes of transactions. But with most of the Ethereum projects building bridges on the Bitgert blockchain , they will avoid the limitation of the Ethereum chain. The Bitgert bridge will enable Ethereum projects to migrate to the Bitgert chain, where they will enjoy the lowest gas fee and a faster chain. Some of these projects will rekindle their hype immediately they migrate to the Bitgert chain.
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Cronos Competitor Bitgert Makes It’s Blockchain Zero Gas Fee
The Bitgert zero gas fee chain is the biggest topic in the cryptocurrency industry right now.
Just like Cronos, Bitgert is a DeFi project working towards increasing the adoption of cryptocurrency across the world. Though it launched earlier than Cronos, it has been delivering faster than almost all the cryptocurrencies that started in 2023. But it is the launch of the zero-gas fee blockchain that is making Bitgert the most talked about cryptocurrencies in the industry today. Below is more about how these Bitgert and Fantom are performing.
BitgertThe
CentcexThe demand for the
CronosThe Cronos is an EVM-compatible chain by chúng tôi The Cronos chain was developed to increase utility on chúng tôi and its performance in the market has been incredible. Just like BSC, Cronos has received massive adoption in the market. This can be seen from its fast-growing Cronos marketcap. The Cronos price performance has been good despite the crashing market in 2023.
Just like Cronos, Bitgert is a DeFi project working towards increasing the adoption of cryptocurrency across the world. Though it launched earlier than Cronos, it has been delivering faster than almost all the cryptocurrencies that started in 2023. But it is the launch of the zero-gas fee blockchain that is making Bitgert the most talked about cryptocurrencies in the industry today. Below is more about how these Bitgert and Fantom are chúng tôi Bitgert zero gas fee chain is the biggest topic in the cryptocurrency industry right now. In fact, the launch of the Bitgert blockchain has excited many crypto investors, and that’s why Bitgert price has been skyrocketing since the launch was announced. The Bitgert zero gas fee chain has come to address one of the big problems in this industry, which is the rising gas fee. With some of the cryptocurrencies fees, like Ethereum, rising to $50, there has been a lot of growing concerns over the cost of transacting on blockchain networks. But Bitgert has a permanent solution with its $0.0000000000001 gas fee. This is simply a zero figure, making the Bitgert gas fee the lowest in this industry. The Bitgert blockchain is now faster than Solana, making it the fastest chain ever at 100k chúng tôi demand for the Centcex coin has been growing over the last few months and can be seen from the fast-surging marketcap. The Centcex crypto project launched in Mid- November 2023, but the team is delivering the roadmap fast. In fact, the team so far has been as the team had put it on the road. The Centcex exchange as per the road is going on fine. The Centcex team’s dream of building a project with the largest utility is taking shape, and crypto investors are buying Centcex tokens to enjoy the 100% APY staking reward. With the massive number of products (unlimited number) coming up, Centcex investors will be some of the most chúng tôi Cronos is an EVM-compatible chain by chúng tôi The Cronos chain was developed to increase utility on chúng tôi and its performance in the market has been incredible. Just like BSC, Cronos has received massive adoption in the market. This can be seen from its fast-growing Cronos marketcap. The Cronos price performance has been good despite the crashing market in 2023. chúng tôi is working on increasing cryptocurrency adoption by building a platform that enables users to make easy and fast transfers of cryptocurrencies. The platform enables the buying and selling of crypto coins with over 20 fiat currencies using bank transfers as well as credit cards and debit cards.
A Comprehensive Guide On Markov Chain
This article was published as a part of the Data Science Blogathon.
Overview· Markovian Assumption states that the past doesn’t give a piece of valuable information. Given the present, history is irrelevant to know what will happen in the future.
· Markov Chain is a stochastic process that follows the Markovian Assumption.
· Markov chain had given a new dimension to probability theory. The applicability can be seen almost in every field. Also, several value-able ideas have been developed with the basis of The Markov Chain; their importance is paramount in the field of data analytics.
IntroductionBeing a student of Engineering, I often wondered how I used to pass in a few subjects after spending one week with them just before the final exam. Even after spending 3-4 hours per day, I could not unearth anything during the entire semester. My road to enlightenment for those subjects was a topsy-turvy journey until one week before the semester exam. I thought I’d fail. But from the final result, I used to think about how I have turned the tide within one week just before the exam?
A few years before, when I had started my journey in data analytics, I came across a theory, The Markov Chain. It gave the answer and the explanation that I was looking for in the prementioned scenario. One of the critical properties of the Markov Chain that caught my attention during that time was.
‘Only the most recent point in the trajectory affects what happens next.’
After this, I started to dig deep into the spiral of the Markov Chain. I’ll try to simplify the concept as much as I can with the help of real-life examples. I know the content itself is enormous and time-consuming to read. But you know what I have found while going through various materials. It’s full of some high-level mathematics. I feel from my learning experience that first, you need to have an intuition of the subject which comes from understanding which examples can give, followed by mathematics and then implementation via coding. This content is a mixture of more examples and a bit of Mathematics. I hope you will enjoy it.
Table Contents· A Brief History
· Difference between Stochastic and Random Processes
· Importance of ‘Chain’ in Markov Chain
· Basics of Markov Chain
· Markovian and Non-Markovian Process
· Types of States in Markov Chain and concept of Random Walk
· Basics of Transition Matrix
· Hidden Markov Model
· Conclusion
· Coding Reference
· YouTube Links
· Used References
· Reference for Exercise and Solutions
· Reference for some Thought-Provoking Research Paper and Patents using Markov Chain
A Brief History on Markov ChainMore than a century ago, the Russian mathematician Andrei Andreevich Markov had discovered a complete novel branch of probability theory. Well, it has an exciting story. While going through Alexander Pushkin’s novel ‘Eugene Onegin,’ Markov spent hours sorting through patterns of vowels and consonants. On January 23, 1913, he addressed the Imperial Academy of Sciences in St. Petersburg with a synopsis of his finding. His findings did not alter the understanding or appreciation of Pushkin’s poem. Still, the technique he developed—now known as a Markov chain—extended probability theory in a new direction. Markov’s methodology went beyond coin-flipping and dice-rolling situations (where each event is independent of all others) to chains of linked events (where what happens next depends on the system’s current state).
Difference between Stochastic and Random ProcessesSo in a Markov chain, the future depends only upon the present, NOT upon the past. Let’s dig deep into it. As per Wikipedia, ‘A Markov chain or Markov process is a stochastic model which describes a sequence of possible events where the probability of each event depends only on the state attained in the previous event.’
For me, most of the time, we are confused with a word like Stochastic and Random. We often say ‘Stochastic means Random.’ But understanding the difference will help us comprehend the essence of the Markov Chain from a new perspective. Let me give you an example to explain it better. Let’s say I am at a pub and having a beer-drinking fun game with my friend. We have set out a rule. I’ll drink the number of bottles within a certain amount of time; my friend will drink exactly twice more than what I am drinking within that particular time. Like if I drink one bottle within one minute. He will drink two bottles within one minute. Or if I drink two bottles within one minute, he will drink four bottles within one minute and so on. I can define it like below :
1st event
For me, bottle consumption :
x
Following Event
For my friend, bottle consumption :
2x
So Stochastic is not random. It is a combination of processes that must have at least a random process. And the deterministic process may or may not depend upon a random method. I hope I have cleared it. If you are confused about what a deterministic approach is, let me give you an example. The sun always rises in the east. It’s a deterministic statement, a universal truth. The sun will never rise in the west. Hey, but please don’t try the competition that I have mentioned before. Drinking is injurious to health. It’s a fictitious condition that I have mentioned.
Importance of ‘Chain’ in Markov Chain
One of the intrinsic philosophies of the Markov Chain is the realization of interconnectivity, which is quite an amusing factor for solving real-life problems. Folks who are familiar with the ‘Domino Effect ‘are aware that when you make a change of one behavioural attribute will activate a chain reaction and cause a shift in related behavioural attributes as well. Our Real-world is full of that examples. Please check the below examples.
Basics of Markov Chainwith any graph.
Now let me give you an intuition about the recent past that governs the present outcome with my competitive pub gaming example. I am not going to explain it; observing the picture will be self-explanatory.
I hope the above depiction gives you some idea about the process. One thing you may be thinking Markov chain does not speak about any ‘Past.’ But why have I mentioned terms like ‘Near Past’ and ‘Far Past’? But I feel you can build a solid conceptual intuition by considering this. Just think ‘Near Past’ is ‘Yesterday’ and ‘Far Past’ starts from the day before ‘Yesterday’ believe me it will help you more. It is like Yesterday you have studied hard that is why Today you have a good result or like ‘Today’ you are motivated because ‘Yesterday’ you have met someone. I’ll give you another example from a real-life problem. Before that, let me define Markov Chain from a probabilistic point of view. Three elements determine a Markov chain.
· A state-space(S): If we define the seasonal states throughout a country, we can say, Summer, Monsoon, Autumn, Winter, Spring. So on Season State-space, we have prementioned five seasonal states.
If the transition operator doesn’t change during the transition. The Markov chain is called ‘Time Homogenous.’ So if t1à∞ the chain will reach an equilibrium known as Stationary Distribution. For this the equation will look like below,
Now come to another example; you have seen that Gmail editor, while typing a mail, always suggests the next word. Most of the time, I have seen at least my case it’s right. Its an application of the Markov chain in the field of Natural Language Processing(NLP). More precisely, it uses the concept of’ n-gram.’ Our example is based on a bit of that. Consider the below three sentences.
Sentence 1: I am a Boy.
Sentence 2: I am a Girl.
Sentence 3: I am a Star.
Here we have considered the concept of uni-gram. I hope the below picture will give you the intuition of the n-gram concept.
From the below transition diagram, we can see that our previous example has six states.
So one question may arise in your mind that how many states are possible. A theoretically infinite number of the states are possible. This type of Markov chain is known as the Continuous Markov Chain. But when we have a finite number of states, we call it Discrete Markov Chain.
Markovian and Non-Markovian Process
Then you may ask, what is the use of it? Well, every coin has two sides. Let me bring you another example. Consider you have a dice with six sides, and you roll it. X. denotes the outcome. You roll the dice, and the first outcome is 3. Hence X1=3. Now you move the dice one again; this time, you got 5. Now we can say X2=3+5=8. Now let’s say we are interested in the probability where X5=15, Imagin X4=12; well, if we know the value of X4 does X3, X2, X1 matter to us? The example just I have given is an example Markovian process. And the previous example was not Markovian.
Types of States in Markov Chain and concept of Random WalkBefore looking at some more cases of transition diagrams, get familiar with some more terms. One of the two most important terms is Recurrent and Transient state. I had found a good definition of these two during my research work. Let me share with you.
· Recurrent states :
♪ You can check out any time you like, but you can never leave. ♪
If you start at a Recurrent State, you will for sure return to that state at some point in the future.
· Transient states :
♪ You don’t have to go home, but you can’t stay here. ♪
Otherwise, you are in a transient state. In case some positive probability that once you leave, you will never return.
Markov chain is a directed graph. A random walk on a directed graph always has a sequence of vertices generated from a start vertex by selecting an edge, traversing the edge to a new vertex, and repeating the process. Suppose the graph by nature is firmly connected. In that case, the fraction of time the walk spends at the various vertices of the graph will converge into a stationary probability distribution, as discussed earlier via a mathematical equation. Since the graph is directed, there is a possibility of vertices with no outer edges and nowhere for the walk to go. Vertices in a strongly connected component with no edges from the graph’s remainder can never be reached unless the component must contain the start vertex. When a walk leaves a strongly connected component, it can never return. Exciting, right? Form this discussion, we have another vital conception of An absorbing Markov chain. It is a Markov chain where it is impossible to leave some states, and any state with positive probability (after some number of steps) can reach such a state. The perfect example of an absorbing Markov chain is drunkard’s walk. Exciting right? Now let’s see. I will give an overview of it. But you can also do a little bit of google search and find more details. Now let’s see the transition diagram first, then I will explain.
The drunkard will stagger from one location(In this case, let’s consider those locations as states) to the next while he is in-between the pub and his home, but once he reaches one of the two locations(home or pub), he will stay there permanently (or at least for the night). The drunkard’s walk usually occurs where the probability of moving to the left or right is equal.
Now let’s have some more state transition diagrams
Sentence 1: I am a star.
Sentence 2: am I a star?
The above picture is an example of a transition graph where we have a closed-loop. Also, it bears a critical property of a Markov Chain: the probability of all edges leaving out of a specific node must be the sum of 1. See the S1 and S2 nodes. Also, observe that a Transient state is any state where the return probability is less than 1. See S1.
Let’s look at one more example.
Sentence 1: I had had too many chocolates.
Sentence 2: I had chocolates.
You can see a recurrence state over here with S2. There is some mathematical notation I want to explain here.
I. Every state communicates with itself, i↔i;(Reflexive)
II. Also, if i↔j, then j↔i;(Symmetric)
III. Also, if i↔j and j↔k, then i↔k. (Transitive)
Hence, the states of a Markov chain can be classified into communicating classes so that only members of the same class can communicate with each other. Two states i and j belong to the same class if and only if i↔j.
A Markov chain is Irreducible if all states communicate, meaning it belongs to one communication class. Also, in the case of two or more Communication classes, it’s known as the Reducible Markov chain.
There is also a conception of Periodic and Aperiodic Markov state. I will give an example of both first. Let’s say we are going to measure the maximum temperature of consecutive days at a particular location. And below is the transition diagram.
I’ll give some intuition about Ergodic property as I feel in the present word being a data scientist you must have some notion of it. So, What is Ergodic property? The ergodic hypothesis says that the time spent by a system in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e., that all accessible microstates are equally probable over a long period. The ergodic hypothesis says that the time spent by a system in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e., that all accessible microstates are equally probable over a long period. Is it confusing, right? Let me simplify it a bit more. Ergodicity is a statement about how averages in one domain relate to another domain. It is about how we draw some conclusion about something while having information about something else. I hope the last statement can give you some correlation between the Markovian process and Ergodicity. Let me give you some examples now. You have been to a local football game. You are supporting your team. And there is a new player who is playing for the first time. During the match, he had scored a world-class solo goal while dribbling past five players. Now during the next game, you are confident he will score an important goal.
Another excellent example of this is In an election; each party gets some percentage of votes, party A receives x%, party B receives y%, and so on. However, it does not mean that throughout their lifetime, each person who has voted votes with party A in x% of elections, with B in y% of elections, and so on. I won’t give the mathematical explanation over here. You can do a little bit of research on it.
Basics of Transition Matrix
Now, let’s give some more intuitiveness about the Transition matrix. You have already become aware of the state transition diagram. Now it’s time for the Transition matrix. The basics of the Transition matrix are given below.
I will try to give some more examples, hope they will be sufficient to understand the concept. Let me share a very small sample. I hope the following diagram will be very much self-explanatory.
Now, let’s find out some properties of the transition matrix. Please try to correlate these properties with the above example.
Property 1: The value in the ith row and jth column marks the transition probabilities from state i to state j.
Property 2: Rows of this matrix must sum to 1, until and unless you do not have to go anywhere from the last state. In that case, the sum of that row will be 0.
Property 3: The transition matrix is square.
Property 4: The outcome of each state must be discrete.
Property 5: No state must remain constant with each generation.
Hidden Markov Model(HMM)
Before stating Hidden Markov Model, I’d like to clear intuition about posterior and prior probabilities. I know this is content-based on Bassian Statistics, but intuition will be helpful to understand the topic very well. Let’s begin. When do you see a word like ‘World,’ we consider it as a Noun. It is coming from our prior knowledge in the absence of data, or rather I’ll term it as context. So we see a word like ‘World,’ we put a higher probability with Noun than any other parts of speech. If we write ‘ World History,’ then ‘World’ becomes an Adjective in the context, right? Now you have data (context), and the probability of ‘World’ (Adjective) is higher than that of ‘World (Noun), given the data. This probability, wherein your condition on the data, is your posterior. Now the prior knowledge that I was talking about is hidden. We don’t know what factors motivated us to gain that kind of knowledge are. Now you may argue that you have studied English grammar well or read lots of English content for the preceding example. It is a specific case, but our base of prior ideas is generally always hidden while making any decision.
Let me give you another example. Suppose you are a fan of an English football club. You regularly follow their games in EPL. Even though they have a glorious history of performing at the top level in recent years, they are performance not up to the mark. On a Sunday, while watching a game of your favorite team with a bottom-listed club, your club is three goals down within 20 minutes of it. You are very upset. And suddenly, your doorbell rings. A neighbor walks in. He is looking for some old newspaper, which you need to search from a pile of a newspaper. As you were upset with your favorite team’s performance, you got cranky. You behaved very rudely and said you would do it later. Now your neighbor has seen you and talked with you some time. He used to think you were a very decent, respectful guy( prior belief). But the way you acted remains unclear to him. Maybe if he had been aware of the situation, he could have opted for a different time to visit. So here, what has driven your action to your neighbor, is hidden to him.
You can read the above example once again, and then please read what I am writing here. HMM requires an observable process Y(Our case, rude behavior of that person to his neighbor) whose outcomes are “influenced” by the consequences of X ( The lasting result of the football match) in a known way. Since X cannot be observed directly, the goal is to learn about X by watching chúng tôi has an additional requirement that the outcome of Y at time t=t0( particular moment of a time when the incident happened) may be “influenced” exclusively by the effect of X at t=t0 (At that time the result was against his favorite team )and that the outcomes of X and Y at t<t0 ( different time like maybe next morning) must not affect the outcome of Y at t=t0.
· Xn is a Markov process whose behavior is not visible(hidden).
For a continuous system, we also can define HMM. For more understanding, I am adding the common graphical interpretation that I have found in Wikipedia and trying to fit it into my example.
The usability of HMM in Speech processing is huge. Speech signals have different phonemes. Phonemes are segments of the spoken speech signal.A phoneme based HMM for say the word ‘cat’ would have /k/ /a/ and /t/ as states. In this approach, we will need to create an HMM for every word in the corpus and strengthen the model’s utterances. In the modern world, it’s more relevant as different people have different accent and phonetical property so using this model always helps to approximate the outcome statistically. Below is one example of the same.
ConclusionThe main weakness of the Markov chain is its incapability to represent non-transitive dependencies; As a result, many valuable independencies go unrepresented in the network. Bayesian networks use the richer language of directed graphs To overcome this deficiency, where the directions of the arrows permit us to distinguish actual dependencies from spurious dependencies induced by hypothetical observations. But still, the Markov chain has contributed hugely in the field of statistical analysis. In the current day, we say our world is a VUCA world. VUCA means Volatile, Uncertain, Complex, and Ambiguous. I feel the use of this kind of model can somewhat control the unpredictability of the VUCA world.
Head on to our blog and read about the overview of the Markov Chain.
Markov Random Field: Markov random fields (ermongroup.github.io)
Coding Reference:
Note: To implement Markov Model, you must know the NUMPY library in Python very well.
YouTube Links:
I found the below links are very helpful while studying Markov Chain. You can look for it.
Used References:
[7] “Probabilistic reasoning in intelligent systems: Networks of Plausible Inference” written by Judea Pearl, chapter 3: Markov and Bayesian Networks: Two Graphical Representations of Probabilistic Knowledge, p.116:
Reference for some Thought-Provoking Research Paper and Patents using Markov Chain
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Related
Growth Projects For 2023: Uwerx (Werx), Ethereum (Eth), And Fantom (Ftm)
Investors have little time left to load their portfolios with discounted digital assets. With economists expecting the FED to pivot at some point in 2023 and begin quantitative easing again, digital assets will enjoy another period of massive growth. Analysts have selected Uwerx, Ethereum (ETH), and Fantom (FTM) as the projects with the highest potential in 2023.
Uwerx (WERX)Remote working underwent parabolic growth during the pandemic, and this fundamental change to the world of work has remained. More and more workers continue to go remote, and freelancing has gained increasing popularity as a side hustle. The leading traditional freelance platform made more than $373 million in revenue in 2023 alone. However, these platforms have not kept pace with the rapid change within the space and still throttle innovation through high platform service fees.
Uwerx creates the world’s first blockchain-based freelancing platform for remote workers globally. Uwerx creates a new standard for trust and security whilst removing the intermediary. Instead of using a third party to authorize transactions, employers, and employees utilize smart contracts, reducing the risk of fraud whilst substantially lowering platform fees for freelancers. Uwerx had their audit completed by InterFi Network and Solidproof before they even launched, which is certainly sure to be an encouraging sign to potential investors. Investments will certainly be safe as the creators have also announced that ownership of contracts will be given up as soon as the project is ready to be listed on Centralized Exchanges. Several analysts and crypto experts predict the WERX token to increase by 9,000% throughout 2023.
Ethereum (ETH)Ethereum (ETH) core developers shipped the Merge on September 15th, 2023. Ethereum (ETH) transitioned to proof of stake, making it more energy efficient and environmentally sustainable- this increased institutional interest in Ethereum (ETH). Ranked by market cap, Ethereum (ETH) is the second-largest project and an established blue chip. Several Layer-2 scaling solutions have been built on top of Ethereum (ETH), boosting its throughput, Ethereum’s (ETH) central weakness. Many crypto veterans expect 2023 to be an excellent year for Ethereum (ETH), given all this development in its ecosystem.
Fantom (FTM)The return of notorious developer Andre Cronje has strengthened Fantom (FTM). This layer one blockchain became a hotbed of DeFi in 2023, and Fantom (FTM) entered an enormous rally. Many predict that Fantom (FTM) will repeat this feat in 2023. As DeFi becomes mainstream, more investors will find themselves in the Fantom (FTM) ecosystem, and liquidity begets liquidity. More active investors using decentralized apps on Fantom (FTM) means a higher valuation for the ecosystem, and subsequently, Fantom (FTM) will appreciate. This DeFi specialist, Fantom (FTM), is another token analysts are betting on.
Uwerx Is Front Of The PackWhen it comes to growth potential, nothing can match Uwerx. The traditional freelancing platforms have faced little to no competition, and this blockchain-driven disruptor has the potential to be used by millions of freelancers globally. Uwerx would naturally become a blue-chip crypto project and one of the biggest gainers of 2023. Investors are also reassured of liquidity- it will be locked in for 25 years after presale. This is a signal to potential investors of the platform that the best is yet to come, see for yourself using the links below:
Presale: invest.uwerx.network
Telegram: t.me/uwerx_network
How To Overcome (And Avoid) Yo
Yo-yo dieting is a big concern, and many people worldwide struggle daily. It is a diet plan where, with the help of increasing and decreasing weight, one can maintain the body. Temptation comes in all forms: at workplaces, school, and socially. It’s not uncommon to be surrounded by friends or family members struggling with weight-related issues, especially if you’re looking for inspiration rather than support. Most people who do a yo-yo diet eventually experience disordered eating symptoms such as anorexia and bulimia. Women are more likely to have these symptoms than men due to societal expectations that women should stay thin to get men’s attention. They are also more susceptible to hormonal changes related to pregnancy and birth control pills.
You may also wonder whether you need to go on a diet. You don’t need one if your current weight is within the normal range for your height. Focus your energy on making positive lifestyle changes (eating better, exercising more) rather than worrying about what you eat. But if you find yourself bingeing and purging or struggling with disordered eating, it’s better to talk to a licensed health professional immediately.
Risk Factors of Yo-Yo DietingAlthough weight fluctuation is normal, you may be at risk for yo-yo dieting if your actions harm your health. This is especially true if you experience a rapid and unhealthy weight change. As per a report, in the United States, approximately 30 percent of those seeking treatment for eating disorders are men, and 10 percent are teenagers.
It’s not easy, but try not to beat yourself up if you have a yo-yo diet — it’s just that easy to slip into old habits. Your body is smart enough to do this independently without your help — and it often tries just as hard as you do to keep it in check.
But if you feel like you’re being driven to take drastic measures, it’s important to know some of the most common risk factors for yo-yo dieting. Remember that any one factor can trigger or aggravate disordered eating behaviors.
Why Some People Do a Yo-Yo Diet?Everyone has to eat: Your body needs protein, carbohydrates, fat, and water. If you don’t get enough of these items while you usually eat, your body will take those elements from elsewhere in your diet, irrespective of the food items you go for. For example, your body might rely on fat when carbohydrates run out.
Unhealthy Weight Stabilization HabitsYou might have always been thin and active, but things changed in your teens or 20s. As a result, you began gaining weight fast, making you feel worse about yourself since childhood and setting the stage for yo-yo dieting. Identifying why this happened to you may be difficult, but learning more about this common pattern can help.
Here are some common reasons for weight gain:
You need to get enough sleep. You feel sluggish and tired, which makes you more likely to look for quick fixes such as food. If you work at night, you risk developing slow metabolism.
You eat unhealthy foods. The standard American diet (SAD) is filled with fried and processed foods and sugar (which comes in many forms). Food manufacturers know that these items taste good, but their high-fat content makes you want to eat again soon after your hunger is satisfied. In addition, these items have a high sugar content that leaves you craving more sugar.
You’ve developed a food addiction. People who binge on pizza and beer all the time might not be full-blown alcoholics, but they can develop a kind of addiction to food that keeps them away from losing weight. It’s important to avoid triggers that make you want to eat more. If you’re struggling with this issue, speak to your doctor or therapist about less harmful ways to cope with cravings. Because it is seductive and easy to get hooked on, food addiction is challenging to treat without professional help; once you’re in recovery, getting a support group together or thinking about developing healthy rituals can help.
You need to make more time for yourself. Although you might take it easy at work or school to conserve energy, it makes you tired and worn out on weekends. Not only does it get harder to find the motivation for productive activities, but your lack of sleep can make you see all those weekend activities as an excuse to eat. You must be aware of how much time and effort you spend catching up with friends, going out to eat, and watching TV when you’re already too tired to do anything else.
If you’re concerned about your risk for yo-yo dieting, talk to your doctor or healthcare provider about potential options for weight stabilization. If you’re satisfied with your current weight and body shape and have no medical need to lose weight, you might also try some other techniques −
Acknowledge what could be triggering the problem. Once you recognize the situation, it’s easier to find a healthy way to cope that doesn’t involve unhealthy eating habits.
Find helpful coping strategies beforehand. Some apps and online plans can help you plan meals and snacks for the day, which can be especially helpful when you’re on the go.
Identify when and how you eat junk food. Understand why this happens and find healthier ways to satisfy your cravings.
Make fitness a priority. Although it seems impossible, it’s easier to maintain a healthy weight when you’re active and fit rather than sedentary and overweight.
ConclusionA good diet can help you live a healthy life without getting lost in yo-yo dieting and eating disorders. This can include healthy eating habits such as consuming foods rich in phytonutrients, eating breakfast daily, and limiting your consumption of processed foods and saturated fats. It would help if you were supplemented with vitamins to keep your body fed up with essential nutrients lost when you consume processed food, so you get the full benefit of the nutraceuticals in them.
Using Pinterest In Higher Education Marketing To Engage A Student Audience
Techniques and examples of using Pinterest to build a brand and connect with the student community
It’s no surprise – Pinterest drives an impressive amount of traffic. In fact, Pinterest is now 21% more popular than Twitter for US Internet users according to this Pew compilation of online US adults. This image discovery tool lets fans and influencers find and follow their favorite brands, whether it’s through products pinned from the website, or business pages created by brands.
Many brands, like Whole Foods, Etsy, and Kate Spade effectively use Pinterest to share information. The possibilities (and marketability) are truly endless.
Until recently, many universities did not have, or effectively use, Pinterest pages. The University of Michigan, often a risk-taker and thought leader among the Higher Ed social media community, saw an opportunity to utilize Pinterest in a unique way.
We wanted to connect with multiple audiences, both within Pinterest’s key demographic (80% women, 45% age 35-54), and our other audiences – high school and college students.
How did we connect via Pinterest?For starters – while it’s important to note the demographics of Pinterest, this makes up some, but not all users. We had success connecting with our alumni in this key demographic, through boards like True Blue Weddings and Maize & Blue DIY, but we wanted to expand. Men, teenagers, college students, and the 50+ crowd still use Pinterest. If this is your audience, don’t ignore them!
Here are a few ways the University of Michigan is using Pinterest to connect with multiple audiences.
1. Problem Solve
The Tour #UMich board, one of the two we created in our partnership with Pinterest for the launch of Place Pins, was created specifically with prospective students in mind.
Both our office of admissions and central accounts receive an incredible amount of questions from prospective students about the admissions process, student, and campus life. When Pinterest reached out to us about Place Pins, we immediately thought of solving this issue in a visual way. Now, international students can get a sense of our campus if they are unable to visit.
Here is an example of this solution in action. If we didn’t have this Place Board, this fan may have not opted to visit campus, as our tours are strictly for prospective students and parents, not necessarily fans just wanting to explore campus and see the highlights:
2. Tell a Story
While every brand has their popular topics (for universities, it’s may be athletics, popular quotes and tag lines, and mascots), storytelling can highlight and attract attention to other moments of pride.
World-class donors, innovative research, and top-rated programs make the University of Michigan truly different from others. Creating a visual collection of ’The Michigan Difference’ has attracted audiences from our world-class faculty and staff to professionals in the health and sciences communities.
3. Show what makes You, ‘You.’
Part of the University of Michigan’s legacy as a prestigious university is our history. Our university was founded in 1817, making us almost 200 years old. We are fortunate enough to have access to an extensive image bank from all parts of our history, and our followers LOVE to see these photos.
Historical photos are particularly popular among our alumni community, whether they’re trying to spot themselves in a photo, or recounting memories from their, or their parent’s time at the university.
Aside from being an excellent way to engage our fans, we’re heard a lot of great stories!
4. Provide Value
Our Student Resources board is one of the newest. Our university has an endless amount of resources, from the Sweetland Writing Center to the Career Center and the Alumni Association but why stop there? Allowing our students to see creative infographics and visual answers to tough questions they have throughout their time as a student (What do I do with my major? How do I find a job?) provides value to them, and ensures they will continue returning to our page.
Additionally, student-specific blogs help us reach the younger demographics.
5. Assess the Competition
We track our progress, and our competitors weekly, but for smaller brands with a slower-growing following, you may only need to track bi-weekly or monthly to get a sense of the growth.
Aside from showing where you stack up against your competitors, seeing these rankings week over week is addicting!
Overall, Pinterest has been a huge asset to the University of Michigan’s social presence. In the fall, we’re hoping to bring our Pinterest audience offline with on-campus events, and continue to connect with our incoming and current students. Stay up to date with our latest social stories on our website, and feel free to give us a follow on Pinterest.
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