Hey, fellow buddies. Thanks for watching. All right. This is a bread and butter Bolo video and I have 33 bread and butter Bolo is coming your way and what that means these are items that I sold for 35 dollars or less They're typically easier to find items items that you want to be on the lookout for when you're at thrift stores or garage Stales places like that estate sales But yeah, I've got some good ones here some you may not know about so let's get started and I'm gonna get my screen share up and I'm gonna share with you my what solds and I am your featured seller Alright, let's see what we got here The first item is this perfume and I really enjoy selling perfume I picked this up at a thrift store I think or a garage sale and I sold it for $17 and the buyer paid the shipping. I usually get these for a buck or less They are pre-owned so some of them are bread and butter some of them can go for big money It really just depends on the demand for that item if it's discontinued if it's rare stuff like that all plays into it So definitely look things up the next item. I sold is this bronze series razor shaver. It's It was a garage sale find and I bought a bunch of like razor stuff I think I paid $10 for all of it and I sold this one for $20 and the buyer paid shipping The next item I sold is this big picture apples to apples and a lot of times if the games are Open I won't mess with it because I don't want to count but all of these things were still sealed But it was an open box. So I went ahead and listed this and it actually had good comps. I was surprised and It came in a mystery box and I sold this for $25.20 and the buyer paid shipping and Another tip I like to put heavy stuff like this over on Poshmark Because if it's five pounds or less it ships for that flat rate of I think seven is it seven dollars and eleven cents I can't remember it. It was six something, but I think it changed So like this or like scrapbooks things that you know are a little bit bigger and higher on weight But not too big, you know that it goes over the dimensions. Those are good items to put on Poshmark This happened to sell on eBay first. I do cross post all of my items to Mercari and Poshmark and I use an extension called list perfectly Which I'm sure if you guys watch my channel You've heard me talk about it because it is one of the best things that I've done for my business I've been using it for over a year and it just saves me so much time So I list my items to eBay and then I cross post them to Mercari and Poshmark sometimes Etsy sometimes grailed sometimes Facebook So the name of this game is apples to apples If you're interested in checking out list perfectly, I do have a demonstration how-to video I've got several and If you want to try it you can use coupon code Bolo buddies one word That's a referral coupon code that will get you 30% off your first month So definitely check that out and you can thank me later No, it's pretty awesome. All right. The next item is this dent Disneyland resort It's a Cinderella castle picture frame that I picked up at a garage sale for five bucks And I sold it for twenty five dollars in the buyer page shipping. It's really cool and You guys know that I'm pretty cheap. So if I'm paying for a List perfectly subscription, it must be really good All right, the next item I sold is this vintage star Christmas tree topper I got this in a mystery box and I sold it for twenty eight dollars in the buyer page shipping The next item is this vintage African carved wood marriage wedding chain. This was so long tail guys Um, I don't know if my pictures weren't good. I think it had a repair on it Right here and I think like part of the ceremonial thing is like you're supposed to break it So maybe that's why it didn't have much value. I thought it was gonna be a Bolo But it really wasn't I mean, I still made money. I think I paid like five bucks for it at a garage sale I sold it for thirty three dollars and fifty nine cents the buyer paid shipping But it definitely took the right buyer and it was very long tail The next item I sold is this vintage OSU Ohio State cheerleader boy sports doll I did have three of these and this is my last one. I sold him for thirty dollars and twenty three cents I picked him up at a garage sale for three dollars in the buyer paid shipping Okay, so these are vintage feathers and I think This one sold for 25 and These sold for 20 and they went to the same buyer, but it was two separate transactions I picked these up at a thrift store for two dollars for each lot. So I got about four bucks in the whole set The next item I sold is this cute little vintage 1994 teddy bear mailman I picked him up at a garage sale for one dollar and I sold him for thirty five dollars and the buyer paid shipping The next item is this Batman belt and this was actually like really nice quality It felt heavy. It didn't feel cheap and I sold this for $25 and the buyer paid shipping and I got that out of a mystery box. So it's pretty happy about that The next item I got at a garage sale for 50 cents. It's ER TL and it's a Three bottom mounted plow and it's like a farm equipment toy and I mentioned this in another video I'm sitting on the floor. So I'm really uncomfortable But I need to get a chair or something because I'm trying to be closer to my router so I don't get as much Issues when I'm talking I was having issues. So anyway, yeah, I sold this for 35 and 50 cents at a garage sale buyer paid shipping The next item is this holiday Thomas the train. I sold this for $19 and 99 cents You guys, it's a little itty-bitty Thomas the train I picked this up at a garage sale with a bunch of Thomas the train stuff and I listed this one separate because Well, it's super cute And there it is Yep The next item I sold is this Annalie doll mouse and it's from 1989 and I picked this up in a mystery box and I think I had Eight Boxes and I think I kept like two or three items and I think this is the only one that really had any value And I sold it for $20. So that batch was not very good So you just never know with the mystery box, right? But yeah, when some and you lose some The next item I sold is this L a minis L a minis car game I picked this up at a thrift store I did scan the barcode while I was there I mean it was I knew it was going to be bread and butter, but I'm actually shocked at how quick it sold I bought it for a dollar and it sold for $13 and 19 cents in the buyer paid shipping I wasn't sure if it was going to be a long tail item and it wasn't so The next item I sold is this vintage hard plastic made in Hong Kong Christi Christmas major nativity scene and it came in the original box It was new old stock super cool And I sold it for $35 and the buyer paid shipping that came from a garage sale and I paid $1 for it These PJ mass figures I picked up at a garage sale And I just locked them up in lots and I sold this for $15 and the buyer paid shipping The next item took a while to sell, but he did sell he's the vintage Christmas old world Santa He's like paper mache card of Pesta like that fabric stiffened fabric. I'm not sure what it's called But I sold him for $30. I picked him up at a garage sale I can't remember what I paid for him probably like a buck or two and the buyer paid shipping The next item is this Disney frozen Queen Elsa stuffed plush doll And I picked her up at a garage sale for $10 and 55 cents No, I sold her for $10 and 55 cents I picked her up at a garage sale. It was a bulk buy of plush And so I probably have 25 cents in her and the buyer paid shipping on that one Sorry guys Okay, so this is another one you guys have seen these in my videos. Here's what it looks like on the bottom and This one is just a single figure. Most of them have like little scenes Let's see it's from 1987 Ceramica Excalice is I know I'm saying it wrong. I'm really sorry, but it's a hundred ninety six out of five thousand and you know, they're religious Figurines and they did awesome. I mean they are a major bolo this one only went for $24.63 and the buyer paid shipping but some of the other ones went for 50 60 70 dollars. I think maybe I Know there were some in the 50 and 60 range. So most of them sold quickly This one I actually Had in my car. I was gonna donate it back because I thought it had like a little chip You see how it looks like it's kind of shaved off right there. So I was like, I don't want to list it And somehow it came back into my house My husband brought it back in. I I don't know if it If he saw it in the back of the car and I had meant to drop it off at like the thrift store to donate it But he brought it back in so I'm like I'm just gonna list it and I listed it and it sold for $24 and 63 cents So what do you know? All right, the next item I sold is this vintage angel and I love selling these It's like a stiffened fabric paper mache. I'm not really sure what it is I sold her for 20. I think it's a her. I Don't know. Maybe it's a boy. Is that a boy or a girl comment below. Let me know what you think I think it's a girl. I Don't know Anyway sold it for $20 that one came in a mystery box in the buyer paid shipping now What was strange about this is it had like Almost like it looked like it'd been burnt, you know, I mean like that's part of the I don't know It was weird. I don't know how to explain it see right there how there's like a hole I don't know. It was definitely different, but it sold The next item I sold is this Mickey's Comet goofy hallmark ornament from 1998. It's vintage I picked this up at a thrift store for $1.50. It sold really fast for $20 in the buyer paid shipping The next item is this her has bro. Oh my gosh, I can't talk has bro Jurassic World hero mashers Ankylosaurus dinosaur figure and I sold him for $20 and 50 cents in the buyer paid shipping And I believe that was in one of those totes that has been sitting in my basement that I finally listed Boyd's bear You guys know, I love my Boyd's bear plush. This one is a wind-up musical and I sold her for $27 and the buyer paid shipping and I got her for a dollar and This one sold for $15. It's a retired Boyd's bear friends Matthew H bear wolf costume So it's a little Boyd's bear with a little wolf costume. It's super super cute Got this one for a dollar also buyer paid 15 plus shipping Okay, so this is a vintage Barbie wig Yes, I know it's not the best display with it on my fingers. It looks a little funny, but I I don't know I Think I wanted to show that it was a wig and show all sides of it, but it does look a little bit silly. Oh Goodness me. I sold this for $20 and 49 cents in the buyer paid shipping. I bought this in a bulk Barbie lot I there was like five six wigs in there and I have sold I think I have one left So they definitely are good sellers The next item I sold is this December home fiber optic snowman. It worked, but it did not color change It stayed one color. So I could have got more for this if it would have worked But the person that bought it was very happy with just the one color and it sold for $30 in the buyer paid shipping And that also came out of a mystery box The next item is this collectibles by Phyllis Parkins angel doll treetopper. She is adorable and That one came from a thrift store it was five dollars and Actually, I don't know if it came out of a mystery box or if I bought it at a thrift store I can't remember, but I had the value at five dollars. So it was either a really I Didn't get much out of the box. So I just put five dollars. I don't know but either way she sold for $22 and the buyer paid shipping and she left me awesome feedback and said she wanted more. I'm like, I don't have any more But she's really cute The next item I sold are these Scooby-Doo and shaggy figures and I picked these up on Facebook Marketplace in a bulk buy And I sold these for $19.99 in the buyer paid shipping Okay, this little guy's fun He's a plush boy penguin in a costume a boy with the penguin costume and he sings ice ice, baby And he's moves and he's animated super fun He sold pretty quick for $32 and 79 cents. I got him at a garage sale for 50 cents and the buyer paid the shipping The next item came in a mystery box and I was like, you know, it's kind of got that. What's that called? Anime is that what it's called? I might be wrong But anyway, it had that look to it So I'm like, I'm just gonna list this and I'm gonna auction it and see what happens and it sold for $15 and 50 cents it's just a felt like stalking and Yeah, the buyer paid shipping on that and that came out of a mystery box The next item I sold are these vintage Empire pencils the red white and blue USA made new old stock hard to find and rare I picked these up. I think at a garage sale and I sold them for $20 and 49 cents and the buyer paid shipping I probably have less than a buck in them And the last item is this Hallmark keepsake ornament. It's a Delta flyer from Star Trek Voyager and it has lights and sound it's from 2002 and I sold this for $24 and 59 cents the buyer paid shipping and I believe that came out of a mystery box All right, you guys thanks for being here. Thanks for watching that concludes My volo video.  Definitely check out one of those Be sure to like comment subscribe and share. Thanks for being here. Thanks for watching Be sure to leave me a comment that helps me in the algorithm And if you hit that little bell beside the subscribe that will Alert you when I post new videos So be on the lookout for all of these items And if you find an item that you saw my video definitely share it with me in the comments somebody just Left me a comment that said they found an avon advent calendar And they found it because of my Facebook group and then they had seen it in a video And it was like fresh on their mind and they found one So it always makes me really happy when you guys find the items that I talk about so thanks for being here Thanks for learning with me. Thanks for watching and I'll see you real soon


Hello, everyone, I'm Chen Zhi, and we're going to introduce our work on multi-cells non-malibule extractors and its applications. This is a drawing work with Vipo Goyo and Aksherin Svini Vasen. I will start by introducing what is a true-source non-malibule extractor. The notion is introduced by Teri Gacchi and Bruce Swami in 2014. So in this setting, you have two independent weak random sources named X1 and X2. So here the weak means that both sources are not uniformly random. And then you want to use an extractor to extract n-bit randomness from the sources that are close to uniform. And further, the input sources can be tampered independently by arbitrary tampering functions. And the security requires that the tampered output is either the same as the original one or is independent, which means the value is destroyed. So here the randomness of a source is measured by its mean entropy. So if the mean entropy of the source is greater than k, then it means for any x the probability that the source is equal to x is less than 2 to the minus k. So intuitively, the source has higher mean entropy means it contains more randomness. And we assume the X1 and X2 are in-bit sources with mean entropy k. They are also called in-bit sources. And more formally, the non-manability is defined as the joint distribution of the original output and the tampered output is absolutely close to a joint distribution of 2n-bit strain, where the first one is uniformly random and the second one is either the same or independent of the first. And the epsilon here is called the arrow of the non-manable extractor. When this work, we introduce a new notion called multi-source non-manable extractor, which is the generalization of the two-source one. And instead of two-source, now we have as independent n-case sources. And similarly, each source can be tampered independently by arbitrary functions. And then we can define a security in a same way. However, it is not hard to see that this definition is actually weaker than the two-source one. Since we can view such a multi-source non-manable extractor by just applying the two-source non-manable extractor to the first two sources and then ignoring the rest. And in fact, there's no previous result including cases beyond the independent tampering. So in this work, we mainly focus on the following question. Can we protect against a tampering function that tampered multiple sources together? And then what is the mean entropy is required and what is the app? So the most general model I could consider here is the overlapping drawing tampering. So in such a tampering, for each eye, the tampering function can depend on an arbitrary set of input sources, TI. We also mentioned that this tampering model is previously proposed by Garo and Kumo in 2018. But it worked in the context of non-manable secret sharing. In the context of non-manable extractor, no previous result considered this model since they only considered two-source case. However, it is hard to protect against the general overlapping drawing tampering. So instead, we consider a more restricted tampering model called cover-free tampering, which is overlapping tampering with some constraints. So given the overlapping tampering, we say it is eye cover-free if there exists an xj, so that no tampering set tk contains both xi and xj. So for example, here for i equal to 1, you can see that x1 and x4 does not contain any at tk. We say it's cover-free tampering if it is eye cover-free for each i and s. We'll see that this tampering model includes a rich class of tampering functions. For example, it contains an independent tampering, which I already mentioned before, and it contains this drawing tampering. So this drawing tampering means the sources divided into at least two groups, so that the sources in each group are tampered together. Also, the cover-free tampering is strictly richer than the destroying tampering, as it contains some fancy tampering functions such as following. The tampering of each xi will depends on both xi and xi plus 1, so it is not destroying tampering, but it is cover-free since the xi is not tampered together with the xi plus 2. Now I'm going to summarize the main contributions. The first introduce the notion of multi-source non-modible extractor, but then we'll give an efficient construction of the as-source non-modible extractor against the cover-free tampering for any constant as greater amplitude. The main entropy requirement of our construction is linear an with negligible arrow and polynomial output lens. Also, the construction satisfies the property called efficiently pre-image sample, which means that given any output, one can efficiently do sampling over its pre-image. Using similar techniques, we further resolve some open problems in areas of non-modible secret sharing and network extractor, which I will discuss in more details now. For non-modible secret sharing, the notion is first proposed by Garland-Kumar in 2018. So in this setting, suppose you have a secret M and you want to split the secret into N shares with a threshold T such that given any T or more shares, one can reconstruct the secret M and also any T minus 1 shares contains no information about M, because such a scheme T ought to win secret sharing. Further, the non-modibility is considered in a case that each sharing might tampered by the adversary, and the security guarantees that any tampering attacks either preserve the original secret or completely destroy it, which means the secret recovered from T or more tempered shares are independent of the origin. For the prior work, the original paper considered only a restrictive version of destroying tampering. More precisely, their construction does not work in a case when the shares are divided into two destroying tampering sets of equal size. And in their follow-up work, though they can protect against cover-free tampering, their construction only worked for N auto-win secret sharing. And in this work, we give a construction of T auto-win non-modible secret sharing against cover-free tampering for any T between 2 and N. We also show that other multi-source non-modible extractor can be used to construct network extractors as they improved over previous results. So the problem of network extractors naturally arise in the context where they are P processors, and each has access to a weak random source, independent of others, and they want to get uniform randomness by communicating with each other. And further, some processors might be malicious corrupted, which means they can behave arbitrarily. And the security should guarantee that at least some of the honest processor can output uniform randomness even given all the messages sent during the protocol. So for the prior work, either the construction cannot extract uniform randomness for all the honest processor, or it is in a computational setting and requires exponential hardness assumption. And in this work, we give a construction of network extractor that can always extract uniform randomness for all the honest processors. And also, it work in the information serial of the setting, and it can tolerate up to P minus 2 malicious corruptions, which is optimal, and it requires only a single round of communication. So now I will briefly introduce our construction for the multi-source non-modible extractor and give some intuitions and ideas behind it. So our starting point is the following construction. For simplicity, we only construct three source here, and it's not hard to extend the ideas to general multi-source setting. So for three sources x1, x2, and x3, we first force each source into two parts as follows. And then for each x subscript i and yi, we use a two-source non-modible extractor to extract randomness as di. And finally, we all export all values of d1, d2, and d3 to get the output z. And then we'll see that each x subscript i and yi are from different sources, and thus they are independent, even given the rest of the sources. So there is a hope that we can reduce the overall security to the underlying two-source non-modible extractor. Also, this construction is efficiently pre-image sampleable if the underlying two-source non-modible extractor is efficiently pre-image sampleable. Intuitively, this is because the construction has a tree-like structure. So for here, given an output z, one can efficiently sample z1, z2, and z3. And then we can do pre-image sampling on each two-source non-modible extractor to get the x superscript i and yi. And finally, the input source x1, x2, and x3 can be reconstructed from all the x superscript i and yi. However, there's a problem with this construction. So consider the case where the input sources x1, x2 are tempered together, and x3 are tempered independently. So this is a destroying temporary. Since the first two input sources are tempered together, the x superscript i and yi can be tempered together. This is a fatal problem since the adversary now takes the fully control of the output of the first two-source non-modible extractor. For example, it can temper the value of x superscript i and yi together so that the temper output z1 is equal to the original z1 x1. And then the final temper output would be also equal to the original output z x1, which means that they are strongly related, but they are not the same. Therefore, the security is totally broken. So now I will introduce our main construction and bypass the previous problem. So instead of forcing each source into two parts, now we force each xi into xi1, xi2, xi3, and yi. And then we compute the x superscript i by x2 of the value in the i's column. By doing this, we'll see that each x superscript i depends on all three previous sources, which mean the previous attack will not work. So finally, the output z is computed in the same way as in the previous construction. Also, following similar idea, we can show that this construction is also efficiently pre-image sampleable. Now I will talk about some intuitions behind the security proof of our construction. Roughly speaking, the goal here is to show that the temper output z2 is either the same as the original output z or is independent of it. And the main idea is to use in hybrid arguments to show that each one of the z1, z2, and z3 is either equal to one of the z1, z2, z3 or independent of all of them. Then there are two cases. The first case is that all the z2, i as a permutation of the original zi. For example, suppose the z1, 2 is equal to z2, z2, 2 is equal to z3, and z3, 2 is equal to z1. In this case, we'll see the temper output is the same as the original output z. And the second case is that one of the zi is missing. So for example, the 2 to z1 is equal to z2, and 2 to z2 is equal to z3. However, the 2 to z3 is equal to some random variable d that is independent of all z1, z2, and z3. And in this case, we can show that z2 is independent of z. So why it is the case? So one observation is that the z1 is uniformly random given the z2 and z3. We prove it, we can fix all the input sources except the y1 and x31. So then we'll see that x3 and x2 are also fixed, which means that the z1 and z2 are also fixed. Then, since the y1, x31 can still have some randomness and they're independent, by the security of the underlying two source non-malleable extractor, the z1 is close to uniform given the z2 and z3. And therefore, given the z2 and z3, we know that the z2 will be fixed, but the z is still close to uniform. And thus, it implies that z2 is independent of z. So now I will give some intuition behind the proof of the main hybrid arguments. Recall, the goal here is to show that each one of the 2 to the zi is either equal to one of the zi or independent of all of them. A key step improving above is to show the following. To give any x2, y2, and x3, y3, for each i, the z2 is either equal or independent of the original z1. The proof of this key step contains most of our main techniques, and therefore, for the rest of our talk, we'll mainly focus on the idea behind this proof. Recall that the zi, tilda, and z1 are the output from the two source non-malleable extractor. Therefore, the idea here is to reduce the problem to the security of the underlying two source non-malleable extractor. Here is the rough proof idea. So, suppose we consider the tampering function f12 and g3, where f12 tampered the first two source together, and the g3 tampered the third source independently. The idea is to first fix all the input sources except the y1 and x31. Then, as we argued before, the superscript 1 and y1 are independent sources. Therefore, in order to use the property of the underlying non-malleable extractor, we just need to show that x12 and y12 can be represented as an independent tampering of the x1 and y1. So, first for the y12 and y22. So, given y1, since all the parts in x1, x2 are fixed, by the tampering function f12, one can compute the y12 and y22. Then let's consider the case for x12 and x22. So, given the x1, similarly to the previous case, one can compute the x312 and x32. However, it is not enough to compute the x12 and x22, since they also depend on the values of the x11, x12, and x21, and x22. And we cannot compute those values from x1. Then, one observation here is that rose value can actually compute it from y1. Therefore, the idea here is to view rose tamper value as leakage from the y1 and use the liquid resilient to source non-malleable extractor. Well, formally, here we use what we call unbalanced leakage resilient to source non-malleable extractor.  So, here the unbalanced means the input sources have different lengths. More precisely, we need the y to be several times longer than x. This requirement is necessary if we want the lengths of the leakage to be several times of the lengths of x. And the tampering function is like the independent tampering. The only difference is that now we allowed f to depend also on some leakage information from y. And the security requirement is similar to the original to source non-malleable extractor. So, given the leakage, we now can compute x12 and x22 from the x1. So, finally, for the case of x32 and y32, using the previous idea, we can compute x32 and y32 from x1 and the leakage from y1. This also implies that z32 can be computed from y1 and the leakage. However, none of x32 and y32 can be computed from y1. So, to solve this problem, the idea is by letting the tampering function of y1 to simply output a constant y star. This y star satisfies that for every possible output, one can always find a proper x that lads the two source non-malleable extractor to output as, given the second sources is equal to y star. We show and have a paper that we can always find such a y star with higher probability. Then for the tampering of x1, since it can compute the z32, it can also output an x that lads the two source non-malleable extractor to output an z32. Therefore, we can actually represent the tampering of z3 as an independent tampering from the source x1 and y1, which means that we can also reduce the security to the underlying two source non-malleable extractors for this case. So, by the end, we briefly mentioned some interesting open problems that are related to this work. The first is whether we can construct multi-source non-malleable extractors against tampering functions that beyond the cover free tampering. And the second one is in the setting of multi-source non-malleable extractor, whether we can achieve lower main entropy requirements, say polylog in the lens of each input source. And the final one is there are other applications of the multi-source non-malleable extractor. And thank you for listening.


Today we'll talk about milling plexiglass. Plexiglass is the most common material processed on milling machines. Plexiglass is used in the production of equipment for exhibitions and shopping centers, as well as structures for advertising, signs, and plates for the office. This material can be found in almost all areas. Despite this, there is always a demand for processing plexiglass. This is due to the versatility and low cost of the material. How to work with the material? For processing plexiglass, we recommend using spiral or double helical cutters. We recommend choosing a small depth of cut. When finishing about one to two millimeters, no more than four millimeters during roughing, as the material is fragile and capricious. At greater depths, splitting or fusion may occur in the material. In a practical way, we have identified the optimal feed rate for us. It is 2,000 to 2,500 millimeters per minute. At higher speeds, there is the risk of breaking the cutter. If the speed is lower, the plexiglass in the cutting area begins to heat up, darken, and melt. When milling plexiglass, we recommend that you use the parallel flow. That is, during machining, the direction of rotation of the cutter must be parallel to the direction of movement of the spindle. Unlike many other materials, when milling plexiglass in this way, you will achieve the best quality of the end surface of plexiglass. We selected the optimum speed for the spindle by trial. We recommend that you set the rotational speed to 16,000 to 18,000 rpm. For better milling and high quality cutting, a blowing system is often used. This will cool the cutting site and prevent the removed chill from fusing. When processing plexiglass, please note, the edge must be straight and free of chips. The material edge should be thin, priable, and not melt. There should be no residue on the cutting tool. This indicates that the cutting tool is blunt or an incorrectly selected cutting mode. It is not allowed to use cutters with which you previously managed to cut hardwood, carbon, or nonferrous metals. We will be glad to help you in choosing the equipment you need. If you have any questions or comments, please feel free to share them in the comments.


Good morning, everyone, and welcome. This is Melissa Arma with the Stock Swoosh, and I am reviewing an incredible trade that I called yesterday at Amazon to buy the 1,300 calls expiring next Friday. This still has a week. But look at this trade.  So for the people in the option letter, they're at Puge in this trade. So I called it around 1 o'clock yesterday, about 1 o'clock. And it ran up today, and it was just a great call. Now it's gone through the strike. Now the thing is that Monday is Martin Luther King. I mean, ideally, 1310, 1320, 1325 for Amazon. But the problem is that with the holiday market close Monday and the run-up it's had here today with the market, I think the conservative exit would be on this would be today for Amazon. And for all the trades I called yesterday, actually, too. But this, people are up a lot of money in this today that did this. There were some people that didn't do it on the letter, and everyone that did is thrilled today. And I said, you got to watch your trade really between now and noon. You got to watch it. So it got to the target of 1,300. It got over it. It looks great. The way that I can see these things is because I trade gaps. And I'm an expert chart reader. I mean, I'm very good at technical analysis. And when I look at the chart, I can tell based on certain gaps that the stock will have a move in a certain direction and to a certain number, which I saw Amazon would go to 1,300 in the next week. I didn't know until earlier today that it would go to 1,300 today. But then this morning I knew it would go to 1,300 today. But I felt that I could call it out for the next week yesterday. And the price of this was unbelievable for Amazon. So cheap for the stock, which some days it has been on it. You can't even do an option. It's so expensive. So this was a great price yesterday for this, too. So, so happy for all the people that made money. I mean, just thousands of dollars people are making in these trades. So very happy. Again, if you want to learn my method how to trade gaps, then you can email me at molestathestockswish.com. First class of the year is next weekend. And everybody's got to watch your trade here in the letter. Everyone has to watch this great, great, great call and huge way to start basically earnings season, which starts next week. So congratulations to everyone. I just watched every number here, 1305, 1310. I think you can keep on with it here. It's still running. It's still running. And this is still running, too. I'll go over this one in a separate video. Okay, congratulations to everyone. Email me at molestathestockswish.com if you want more information. Thanks, everybody, have a great day.


When part of an organ, like the small bowel, pokes into an area it's not supposed to be in, we call that a hernia. When part of an organ intrudes into the inguinal canal, we call that an inguinal hernia. The two places they can occur correlate with the canal's two areas of weakness. If we look at the canal here, it's pretty clear where the areas of weakness are. It's the two holes, the deep and the superficial inguinal rings. If a hernia pops through the deep inguinal ring, it's an indirect inguinal hernia. If it pops only through the superficial ring, like this, we call that a direct inguinal hernia. You can separate them by thinking which one goes in the deep ring, that's the indirect. In males, indirect inguinal hernias can only occur in the setting of a so-called patent processus vaginalis. To give you an idea of what that means, we're going to draw out a single testus here and attach the spermatic cord. So this is what the processus vaginalis is supposed to look like, tightly adhered to the cord and the testus. A patent processus vaginalis looks like this. The result is there's this continuous opening between the peritoneal cavity and the testes. Small bowel can then hop through the deep inguinal ring and as you'll remember from our inguinal canal video, it'll face the strong barrier of TA and IO directly ahead of it. So it'll continue down the inguinal canal and then end up in the scrotum. Some people's processus vaginalis stays patent a little bit, some a lot. The more open it is, the more chance you have of developing an indirect inguinal hernia. Direct inguinal hernias are the result of various risk factors which are relevant to all other types of abdominal hernia. We're going to draw out the layers of the abdomen from this angle to get a better understanding of these risk factors. So I'm drawing out the peritoneum here, behind that is the abdominal contents. In blue we have the transversalis fascia. The deep inguinal ring is a hole in that. We have the con joint tendon, medial reinforcement for the posterior wall of the inguinal canal. Then we have other abdominal muscles in the area as well like the rectus abdominis. So the two major issues that we can face here that can lead to a direct inguinal hernia are increased intraabdominal pressure. For example if you've got ascites which is fluid buildup in the abdomen from chronic liver disease. Or if you've got weakness in any of these layers, most relevant here is the transversalis fascia. If you've got say an inherited deficiency in that. But also general weakness of the abdominal wall muscles makes an inguinal hernia more likely. So if we've got these risk factors ready to go, then a bit of small bowel could overcome the resistance of the peritoneum. The transversalis fascia, the con joint tendon, the abdominal wall muscles. And push all of that with it towards the point of weakness. Towards the superficial inguinal ring. Because it's taking so many of these layers with it, there's a lot restricting its journey. So you won't see a direct inguinal hernia end up in the scrotum, as you can see with an indirect. One more thing before we wrap up. The location of these two types of inguinal hernia are often judged relative to the inferior epigastric vessels, vein and artery. Which are handily located directly in between the superficial and deep inguinal rings. So thanks very much for watching, hit subscribe and we'll see you next time.


And this is designed for homes and for clinics. And we have many chiropractors that have this in their clinic now, and they're using it in their clinics with our frequencies and they're getting a lot of success. We just had somebody in one of the clinics who said they healed from fibromyalgia just from a couple of sessions of this. Wow, so that really reduces pain. Yeah, I like that idea for a clinic, a home or a studio. It's also, I know my dog, Tesla, not the car, but the inventor. She's just had surgery and I was looking at some of your work, researching this and looking into it. And my dog's very sensitive, as many dogs are, you know, I can just literally emanate she from a distance and she'll go to sleep. So I think I'll look into that for her because it sounds very healing and she has scar tissue. So could you tell me a little bit about your experience?


in St. Angelo and I am the director of Teter Organic Farm Camp and Teter Organic Farm Camp is here in Noblesville, Indiana. Kids who come to this camp are ages six to eleven and they are kids who are curious. They want to know where their food is grown and they are interested in learning about all the different aspects. We're fortunate enough to get a grant from SARE to put on this camp. Teter Organic Farm Camp is super important for kids. It's a great opportunity for kids to spend time outside and time outside is not as common. We're finding for kids these days and we're gonna get kids outside and just enjoying the fresh air and learning where their food comes from, how their food grows and getting kids engaged with with nature and all the things that make growing food possible. We created Teter Farm Camp so kids could participate in hands-on farm activities and have fun in nature. On day one campers take a hay wagon tour of the farm with Farmer Jonah, create interview questions for all of our week's guests and create a special nature journal to use all week. Day two is all about the soil. Keith O'Dell from Castaway Compost will share what Red Wigglers can do and our campers will do soil investigations with Andrew Fritz from Hamilton County Soil and Water. Lena will teach our campers how to do chicken chores and how chickens help out on the farm. On day three campers explore the diversity of life on the farm. They interview a real beekeeper, plant a habitat to attract pollinators and beneficial insects and conduct a mini bio blitz to document living things on the farm. Day four is about the harvest and sharing it with those in need. Campers harvest vegetables in the field and herbs from the garden for the meal they will prepare for their families the next day. They also interview our guests from Hamilton County Harvest Food Bank about sharing fresh produce with our community. Day five is a very special day when campers get to interview a regional livestock farmer and also work with the chef to prepare a real farm-to-table meal with further families. They will share about their week through songs, poems, artwork and their nature journals.


Next on the stage we have Akanksha, who is a senior data scientist from Red Hat. Thank you very much. Hello everyone. I believe most of us in this room have mobile phones, laptops, and use tons and tons of web applications, websites, so many things that are collecting your data with or without your consent. I mean, they are collecting this data to make our lives better, make our experience worthwhile while we are using these applications. But wouldn't it be better if we knew that this data is never going to be misused and still would give us awesome inferences and predictions while we are using all these applications? So that's what I'm going to do today. I'm going to introduce you to an amazing technique called homomorphic encryption, which can help ensure your privacy at all points by still making the most of the data science world. Before getting into this, I would like to take a moment to introduce myself. My name is Akanksha Duggal. I'm a senior data scientist in the emerging technologies group at Red Hat in the office of the CTO. I come from Boston and these are few places where you can contact me after my talk. To start with, since it's a hefty topic, I'll try to break it down into smaller pieces so that it's easier for everybody to understand. Multi-party computation is a cryptographic technique that allows multiple parties or even competitive parties each in possession of fragments of private data to participate in any computing and a specific result is computed using MPC-based algorithms. And what is homomorphic encryption? Let's start from encryption. Encryption was the process where we are scrambling the data so that only certain parties would have access to the real information that resides in the data. And homomorphic encryption would allow you to perform any computation on this encrypted data. It's a revolutionary concept that ensures data privacy and security at all points. So there are times where clients would not want to share their private data with the model owners and still would love to use the model to make inferences. Homomorphic encryption allows you to do everything as is by not seeing the actual data. Talking about where this comes in picture and who all can use it, there are tons and tons of new applications all around in almost every ecosystem where input data's privacy is the utmost concern. Starting from the data related to electric grids, transportation, healthcare, government, everywhere homomorphic encryption would be highly, highly required. And one of the most important use case in my opinion is in the healthcare sector HEPA laws are applied every time people do not follow privacy and security rules. To talk about what's the workflow that we are trying to follow here. So on the left side we have multiple data sources. So imagine if competitive companies were to train on one machine learning model at the same time ensuring that no other competitive party would know what their data looks like but still want to get the best results out of the model. This is the workflow that I personally think would work the best where we use Q-Flow pipelines to do the data pre-processing on each one of them's private data. Then once the data is encrypted, where the companies would know what the data looks like and Q-Flow pipelines would not have any idea, the notebooks would not have any idea. And after this process, we fit this all in the AI or the machine learning model whichever one we would like to put in here depending on the use case. And this is where homomorphic encryption would come in place and give out results without taking anybody's private information. So everything has advantages and disadvantages at the same time. Talking about advantages of homomorphic encryption, it allows you to not interact with the model owners or share your personal information at any point. You can still perform awesome inferences on the encrypted data. You can also have the data storage outsourced because there is low risk of data leakage and there's also reduced compliance costs such as EPA laws. You don't have to pay any of the costs if you are using the right encryption techniques. And talking about disadvantages, surprise, surprise, the computation is highly expensive. We tried to run homomorphic encryption on a very small data set and it was super expensive. I don't think this is highly applicable to the real-world use cases as of now unless you have unlimited resources. But one of the next steps in this project that me and my team are doing is a collaboration with Boston University where we are working with the hardware accelerators and we are trying to make this as seamless as possible so that we can also apply this to a bigger data set. I would stop right here and take questions and if you don't have a lot of time, I would love to chat with you after the talk as well. Thank you.